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Journal articles on the topic 'Smart Feeders'

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1

Samsumar, Lalu Delsi, Lale Puspita Kembang, Ardiyallah Akbar, Sriasih Sriasih, Zaenudin Zaenudin, and Amiruddin Kalbuadi. "IoT Innovation and Entrepreneurship Education: Sustainable Tilapia Cultivation Optimization Strategy." Unram Journal of Community Service 5, no. 4 (2024): 390–94. https://doi.org/10.29303/ujcs.v5i4.781.

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Tilapia cultivation in Teratak Village, Central Lombok, faces problems in feed efficiency and limited market access. Lack of automation technology causes feed waste, while limited marketing knowledge limits farmers' competitiveness. This community service activity aims to overcome these problems through the application of Internet of Things (IoT) technology in the form of automatic feeders (smart feeders) and entrepreneurship training focused on digital marketing. The methods applied include the manufacture and installation of smart fish feeders that are controlled via an application to regulate the amount and frequency of feed. In addition, entrepreneurship training focuses on digital marketing strategies through social media and e-commerce platforms to expand market reach. The results of the activity show that smart feeders increase feed efficiency by up to 20%, reduce waste, and support more optimal fish growth. Digital marketing training helps farmers improve their online promotion skills, expand market networks, and significantly increase sales. In conclusion, the application of IoT technology and digital marketing-based entrepreneurship training has proven effective in increasing the efficiency of cultivation and market competitiveness of tilapia farmers in Teratak Village
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2

Paudyal, S., C. A. Canizares, and K. Bhattacharya. "Optimal Operation of Distribution Feeders in Smart Grids." IEEE Transactions on Industrial Electronics 58, no. 10 (2011): 4495–503. http://dx.doi.org/10.1109/tie.2011.2112314.

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3

Serrano-Guerrero, X., B. Marín-Toro, C. Ochoa-Malhaber, and A. Barragán-Escandón. "Impact of the incorporation of photovoltaics distributed generation in electric distribution grids in Ecuador." Renewable Energy and Power Quality Journal 20 (September 2022): 387–92. http://dx.doi.org/10.24084/repqj20.319.

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The distributed generation (DG) allows electricity production to be closer to consumers, relieving the burden on distribution grid feeders. Interest in DG has increased in recent years due to its close relationship with smart grids and the development of carbon-free generation technologies. The Ciudad del Sol feeder in the city of Machala in Ecuador is one of the feeders with the highest electricity demand. This study evaluates the incorporation of DG in several consumers connected to this feeder. Depending on the range of energy consumption of each customer, different PV systems are proposed to meet their demands. The results of the study show that the installation of PV generation systems allows considerable savings on the electricity bill. In addition, the reduction of grid demand reduces Joule effect losses and improves voltage profiles. The results suggest that the massive incorporation of correctly dimensioned PV systems does not affect the operating conditions of a distribution power grid.
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Rekha, V. Swarna, and E. Vidyasagar. "Reliability analysis of an automated radial distribution feeder for different configurations and considering the effect of forecasted electrical vehicle charging stations." International Journal of Applied Power Engineering (IJAPE) 13, no. 1 (2024): 178. http://dx.doi.org/10.11591/ijape.v13.i1.pp178-185.

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In the future, the expansion of electrical vehicles is becoming more prevalent, which requires electric vehicle charging stations (EVCS), and at the same time, distribution automation and smart grid technology will be implemented as part of the reforms in the distribution system. This paper reviews the effect of the increased EVCS, which causes an increase in the magnitude of current and moderates the average failure rate of feeder sections. The implementation of distribution automation and a smart grid reduces the average restoration time, thereby increasing the reliability of the distribution system. The number of electrical vehicles (EVs) for the years 2025 and 2030 is forecasted using Holt's model, and the corresponding average failure rate of feeder sections is calculated. The average switching time for adopting distribution automation and smart grid technology is taken as 5 seconds and 20 milliseconds, respectively. The voltages, power losses, and reliability indices are calculated assuming the EV charging points are located with equal capacity at all load buses for different configurations of radial feeders. The results are compared with the reliability indices of the feeder of all the configurations in the absence of EV charging station loads, automation, and smart grid technology. This work is validated on a standard IEEE 33 test bus system.
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Rekha, V. Swarna, and E. Vidyasagar. "Reliability analysis of an automated radial distribution feeder for different configurations and considering the effect of forecasted electrical vehicle charging stations." International Journal of Applied Power Engineering (IJAPE) 13, no. 1 (2023): 178–85. https://doi.org/10.11591/ijape.v13.i1.pp178-185.

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In the future, the expansion of electrical vehicles is becoming more prevalent, which requires electric vehicle charging stations (EVCS), and at the same time, distribution automation and smart grid technology will be implemented as part of the reforms in the distribution system. This paper reviews the effect of the increased EVCS, which causes an increase in the magnitude of current and moderates the average failure rate of feeder sections. The implementation of distribution automation and a smart grid reduces the average restoration time, thereby increasing the reliability of the distribution system. The number of electrical vehicles (EVs) for the years 2025 and 2030 is forecasted using Holt's model, and the corresponding average failure rate of feeder sections is calculated. The average switching time for adopting distribution automation and smart grid technology is taken as 5 seconds and 20 milliseconds, respectively. The voltages, power losses, and reliability indices are calculated assuming the EV charging points are located with equal capacity at all load buses for different configurations of radial feeders. The results are compared with the reliability indices of the feeder of all the configurations in the absence of EV charging station loads, automation, and smart grid technology. This work is validated on a standard IEEE 33 test bus system.
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Elsadd, Mahmoud A., Abdel-Maksoud I. Taalab, Tamer A. Kawady, and Nagy I. Elkalashy. "Clearing Break Points of Overcurrent Protection Coordination for Parallel Distribution Feeder." International Journal of Energy and Environment 14 (January 18, 2021): 47–51. http://dx.doi.org/10.46300/91012.2020.14.8.

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This paper presents a modified overcurrent protection system to overcome the break points of a parallel distribution feeder protection. For realizing an appropriate protection setting, two concepts are introduced, and their performance is evaluated. These concepts are the adaptive coordination exploiting smart grid information and the modified coordination methods. The modified coordination is adjusted with changing of the contemporary worst fault point. A comparative study is done between the adaptive, modified, and conventional coordination concepts. For investigation purposes, a 11 kV distribution feeder is modelled using the Matlab/Simulink package. The results provide evidence of the efficacy of the proposed modified coordination concept for parallel distribution feeders.
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7

Bignucolo, Fabio, and Luca Mantese. "Controllable Meshing of Distribution Grids through a Multi-Leg Smart Charging Infrastructure (MLSCI)." Energies 17, no. 8 (2024): 1960. http://dx.doi.org/10.3390/en17081960.

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The paper provides a novel approach for controllably meshing traditional medium-voltage networks by means of a fast-charging parking station with multiple points of delivery connected to different radial feeders. Regulating power flows at each point of delivery while the charging service is being provided, which means actively controlling power exchanges between radial distribution feeders can significantly increase the hosting capacity of the power system. Remarkable benefits are expected when the distribution networks to which the charging infrastructure is connected differ in terms of main characteristics, e.g., rated voltage level, end-user type and operating profiles, and the number and type of renewable plants. The paper focuses on technical targets, such as loss reduction and power quality in terms of admitted voltage deviation from the rated value. The power exchanges between distribution feeders are made possible by a controlled DC link, where bi-directional DC/DC converters are connected so as to charge or discharge vehicles according to the Vehicle-To-Grid approach. A multiplexer topology in which several vehicles can be alternatively connected to the same DC/DC converter is modeled. The proposed concept can contribute to network flexibility by controllably meshing distribution feeders and, jointly, by modulating charging processes according to assigned charging constraints.
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8

Marlina, Erni. "Design of Smart Prototype Pet Feeder Using Passive InfaRed (PIR) Sensors." Journal of Computer Networks, Architecture and High Performance Computing 5, no. 1 (2023): 303–10. http://dx.doi.org/10.47709/cnahpc.v5i1.2237.

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Food is necessary to support daily life and in pets like cats. Pet feeders are usually carried out routinely by pet owners by taking the time to stay at home and feed the pets. With activities requiring animal owners to be outside the home for long periods, it is necessary to design a prototype that can automatically assist the process of providing food, especially dry food, to pets. So pet feeders can be carried out even though the owner is not at home and does not have spare time. The system was built using the C language related to the Code Vision tools that support the hex file compiler into the microcontroller. The research method used is the experimental method, namely conducting trials (trial and error) directly on the research object and the comparative testing method for testing the built system. The auto pet feeder prototype uses the ATMega8535 IC by utilizing a PIR (Passive InfraRed) sensor to detect movement around the animal bowl. The PIR sensor detects well as expected, and it has an effective detection range of up to 5 meters. Not only detects humans, but the PIR sensor can also detect other living things. The PIR sensor will send a signal to the microcontroller to open the valve from the food measuring station, which is driven by a DC motor based on the detected motion to drop food into the animal's bowl. PhotoDioda controls the amount of food falling into the animal's bowl. The test results of this tool show that at a distance of 0–6 meters, the PIR sensor can provide feedback or detect animal movements well.
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Di Fazio, Anna Rita, Giuseppe Fusco, and Mario Russo. "Smart DER control for minimizing power losses in distribution feeders." Electric Power Systems Research 109 (April 2014): 71–79. http://dx.doi.org/10.1016/j.epsr.2013.12.007.

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10

Mosaddegh, Abolfazl, Claudio A. Canizares, and Kankar Bhattacharya. "Optimal Demand Response for Distribution Feeders With Existing Smart Loads." IEEE Transactions on Smart Grid 9, no. 5 (2018): 5291–300. http://dx.doi.org/10.1109/tsg.2017.2686801.

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11

Han, Guo Zheng. "Harmonization of Feeder Terminal Unit Information Model Based on IEC 61850 and IEC 61968/61970." Applied Mechanics and Materials 411-414 (September 2013): 1787–90. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1787.

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The feeder terminal unit (FTU) is a kind of distribution remote terminal unit along distribution feeders and communication with master stations (MS) in control centre. IEC 61970/61968/61850 are three important standard for smart grid. IEC 61850 logical nodes are used for FTUs information model, and IEC 61970/61968 common information model (CIM) are using in MS. To realizing seamless access FTUs to MS, harmonization of IEC 61850 and IEC 61968/61970 are studied. The status information (such as position of switch) and measurement information (such as current, voltage) are realizing mapping from IEC 61850 to IEC 61968/61970. So, the seamless communication between the master station and FTU is realized.
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12

Raouf, Chra, and Asso Majeed. "Power Quality Assessment in Radial Distribution Feeders Based on Smart Meter Data." Sulaimani Journal for Engineering Sciences 11, no. 1 (2024): 98–110. https://doi.org/10.17656/sjes.10186.

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The increased proliferation of power electronic-based devices and their necessity in daily life will lead to power quality problems in distribution networks, particularly residential feeders. Maintaining a high level of power quality is a crucial performance evaluation indicator for both operation and planning. Understanding power quality issues through network monitoring will help mitigate the detrimental effects of these problems for both sides (power providers and consumers). Nowadays, the data recorded by the emerging smart meters in the distribution networks represent an efficient tool to monitor and assess the power quality delivered to consumers. This paper presents monitoring of some power quality indices such as Total Voltage Harmonic Distortion (TVHD), Phase Voltage Unbalance Rate (PVUR), power factor, overvoltage, and frequency variation over six months. The results are assessed according to international standards. The study is conducted on four residential feeders of Raparin substation, comprising a total of 105 nodes. The results show that PVUR is within standard limit for all the nodes, the system frequency is mostly above 50 Hz, TVHD exceeded IEEE limits at some nodes, and some nodes experienced low power factor.
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13

Jesus, M. Lindo Jr., and C. Fajardo Arnel. "Real-Time Smart Fish Feeder Model Using Ssd Mobile Net V2." INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND ANALYSIS 07, no. 04 (2024): 1458–63. https://doi.org/10.5281/zenodo.10925410.

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The success of fish farming will depend on improved feed management and lower operating costs, which are essential factors in facilitating an efficient food allocation to the fish. Various automatic fish feeders were used to feed the fish at set intervals, it consists of a mechanical and electrical system to form a device and execute a programmed method, instead of manually feeding the fish by hand. Many methods are effective at evaluating and quantifying fish feeding intensity but are mostly done on the movement and behavior of the fish. However, recognition accuracy is affected due to water quality and the overlapping of fish. To solve this problem, in this study, the author will be focusing on the model in counting the fish pellets, it will capture the image, and count the pellets and the results will be a novel method as a basis for releasing pellets in laying the logical foundation in creating a modern real-time smart fish feeder. The model produced a significant result that detected small objects like fish pellet and count that has gathered a minimal loss in terms of classification, localization, regularization, and normalization. 
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14

Di Fazio, Anna R., Giuseppe Fusco, and Mario Russo. "Decentralized Control of Distributed Generation for Voltage Profile Optimization in Smart Feeders." IEEE Transactions on Smart Grid 4, no. 3 (2013): 1586–96. http://dx.doi.org/10.1109/tsg.2013.2253810.

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15

Mosaddegh, Abolfazl, Claudio A. Canizares, Kankar Bhattacharya, and Hongbing Fan. "Distributed Computing Architecture for Optimal Control of Distribution Feeders With Smart Loads." IEEE Transactions on Smart Grid 8, no. 3 (2017): 1469–78. http://dx.doi.org/10.1109/tsg.2016.2614388.

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16

Heidari, Mohammand, Visvakumar Aravinthan, Vinod Namboodiri, Guo Chen, and Thanatheepan Balachandran. "ALARM: average low-latency medium access control communication protocol for smart feeders." IET Generation, Transmission & Distribution 10, no. 11 (2016): 2647–57. http://dx.doi.org/10.1049/iet-gtd.2015.1064.

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17

Sirisumrannukul, Somporn. "Charging Management of Electric Vehicles on Loading Capability of Distribution System Equipment, Voltage Quality, and Energy Loss by Monte Carlo Simulation and Linear Programming." International Transactions on Electrical Energy Systems 2023 (April 19, 2023): 1–37. http://dx.doi.org/10.1155/2023/1195648.

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This paper presents the impact of uncoordinated and coordinated charging management of electric vehicles (EVs) on the loading capability of major distribution system equipment, voltage quality, and energy loss in a distribution system. The main emphasis is given to the overloading of distribution transformers, primary feeders, and a substation transformer. The voltage quality of load points along the feeders and the system energy loss are also underlined. The load profile for uncoordinated EV charging is simulated by a Monte Carlo method with several deterministic and stochastic variables involved. To mitigate the overloading of the system components, a coordinated charging (also known as smart charging) model formulated as a linear programming problem is proposed with the objective of maximizing the total amount of energy consumption by EVs and the sum of all individual final states of charge (SoCs), and minimizing the sum of the absolute deviation of individual SoCs from the overall average SoC. The optimization problem is subject to equipment capability loading and planning criteria constraints with low, medium, and high EV penetration levels. The voltage quality problem and energy loss are also analyzed by an unbalanced three-phased power flow model. A case study of a real and practical 115/22 kV distribution system of the Provincial Electricity Authority (PEA) with a 50 MVA substation transformer, 5 feeders, and 732 distribution transformers shows that the possibility of overloaded system components, voltage drops along the feeders, and the system energy loss can be identified in the uncoordinated charging scenario and offer the readiness for equipment replacement and network reinforcement planning. The proposed smart charging model allows the distribution system to accommodate more EVs by appropriately managing the power and the start times of charging for the individual EVs over the timeslots of a day. The study results confirm no violation of the system components and voltage regulation imposed by the system planning guidelines. In addition, the system peak demand and the system energy loss are significantly lower in the smart charging scenario, thus deferring investment upgrades, offering better asset utilization, and retaining network security and service quality.
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Andrianova, L. P., V. Yu Kabashov, and D. S. Khairislamov. "SAIFI AND SAIDI INDICATIVE RELIABILITY FIGURES OF RURAL ELECTRIC NETWORKS WITH SMART ISLAND RECLOSERS." VESTNIK OF THE BASHKIR STATE AGRARIAN UNIVERSITY 51, no. 3 (2019): 83–92. http://dx.doi.org/10.31563/1684-7628-2019-51-3-83-92.

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The paper describes principles of improving the reliability of rural distribution networks of 6–35 kV based on smart switching devices, reclosers with specialized integrated controllers. The typical places to install reclosers for the radial and ring feeders are shown. They are mounted when a new consumer is connected and balance membership is delimited. It is also done to identify a responsible consumer with an indicated connection diagrams. The choice of the optimal number of reclosers for the radial and ring feeders according to indicative figures RNRE and ARAE, characterizing the relative efficiency of network reconstruction by reducing the number of consumer outages per year, and the average investment efficiency in network reconstruction when installing reclosers, is justified. There is presented a method to find SAIFI and SAIDI indicative reliability figures that characterize the average annual number of customer disconnections and the average annual duration of one disconnection in the electrical network.
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Gabdullin, Yesbol, and Brian Azzopardi. "Impacts of Photovoltaics in Low-Voltage Distribution Networks: A Case Study in Malta." Energies 15, no. 18 (2022): 6731. http://dx.doi.org/10.3390/en15186731.

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Photovoltaic systems (PVs) are promising low-carbon technologies playing a major role in the electricity business. In terms of voltage variation and feeder usage capacity, high PV penetration levels have significant technical implications for grid stability, particularly in Low Voltage (LV) networks. This paper presents a comprehensive PV integration analysis on real-life residential LV networks in Malta using recorded smart metering data. The methodology framework and tools developed are highlighted through step-by-step results on their usefulness. First, at the substation level, an LV network with seven LV feeders is analyzed using Monte Carlo simulations and OpenDSS. Then, Cumulative Distribution Functions (CDFs) are extracted to establish the likelihood of LV network challenges. Afterwards, 95 multi-feeder analyses assess the impact assessment on the first occurrence of LV network challenges and predominant issues. Finally, a Regression Analysis Tool, considering the regression’s standard error, is built for seven feeder characteristics to predict the impacts. The stochastic processes reveal strong relationships with feeder characteristics that are helpful for network planning and operations. However, the Maltese grid currently has less than 20% PV penetration at any LV feeder. Hence, significant technological hurdles are absent.
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Alhmoud, Lina, Qosai Nawafleh, and Waled Merrji. "Three-Phase Feeder Load Balancing Based Optimized Neural Network Using Smart Meters." Symmetry 13, no. 11 (2021): 2195. http://dx.doi.org/10.3390/sym13112195.

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The electricity distribution system is the coupling point between the utility and the end-user. Typically, these systems have unbalanced feeders due to the variety of customers’ behaviors. Some significant problems occur; the unbalanced loads increase the operational cost and system investment. In radial distribution systems, swapping loads between the three phases is the most effective method for phase balancing. It is performed manually and subjected to load flow equations, capacity, and voltage constraints. Recently, due to smart grids and automated networks, dynamic phase balancing received more attention, thus swapping the loads between the three phases automatically when unbalance exceeds permissible limits by using a remote-controlled phase switch selector/controller. Automatic feeder reconfiguration and phase balancing eliminates the service interruption, enhances energy restoration, and minimize losses. In this paper, a case study from the Irbid district electricity company (IDECO) is presented. Optimal reconfiguration of phase balancing using three techniques: feed-forward back-propagation neural network (FFBPNN), radial basis function neural network (RBFNN), and a hybrid are proposed to control the switching sequence for each connected load. The comparison shows that the hybrid technique yields the best performance. This work is simulated using MATLAB and C programming language.
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Pooja, S. Pote* Prof. Nilesh Bodne. "WIRELESS AND CARRIER COMMUNICATION BASED SMART METERING FOR A MICROGRID SYSTEM TO CONTROL AND MONITOR POWER QUALITY." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 11 (2016): 167–78. https://doi.org/10.5281/zenodo.164917.

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The paper describes the smart meter module for microgrid. In order to monitor and manage the micro-grid system, design of monitoring system and control capability, which contains hardware device. Hence real time implementation is adopted in software and hardware model. MPLAB and its program modules in software constitute with hardware device. It describes the probable methods of implementation for smart metering microgrid sources and load feeders. Smart meter measures real time parameters of a supply and process auxiliary to determine rms, peak and distortion in phase voltages and currents. Real power and reactive power is determined using measured voltages and currents and communicated using smart meters supported by GPRS. It also results in higher order harmonic which is not desirable to the loads. The microgrid smart metering system that is monitoring and control system have been implemented and experimentally validated in a real size microgrid which operate continuously.
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Ilo, Albana, Daniel-Leon Schultis, and Christian Schirmer. "Effectiveness of Distributed vs. Concentrated Volt/Var Local Control Strategies in Low-Voltage Grids." Applied Sciences 8, no. 8 (2018): 1382. http://dx.doi.org/10.3390/app8081382.

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This paper introduces a novel local Volt/var control strategy in a low-voltage smart grid. Nowadays, various Volt/var local control strategies built on customer photovoltaic inverters, e.g., cosφ(P) and Q(U), are introduced to mitigate the upper voltage limit violations in feeders with high prosumer share. Nevertheless, although these strategies are further refined by including more local variables, their use is still very limited. In this study, the effects of a new concentrated Volt/var local control strategy in low-voltage grids are investigated. Concentrated var-sinks, e.g., coils-L(U), are set at the end of each violated feeder. The concentrated local control strategy L(U) is compared with the distributed cosφ(P) and Q(U) strategies. Initially, both control strategies are theoretically investigated, followed by simulations in a test feeder. Finally, the expected practical significance of the findings is verified through simulations in a real typical urban and rural grid. Additionally, the impact of the different local control strategies used in low-voltage grids on the behavior of the medium-voltage grid is analyzed. The results show that the concentrated Volt/var control strategy eliminates the violation of upper voltage limit even in longer feeders, where both distributed local strategies fail. In addition, the concentrated L(U) local control causes less reactive power exchange on the distribution transformer level than the distributed cosφ(P) and Q(U) strategies. Therefore, the reactive power exchange with the medium-voltage grid and thus the distribution transformer loading are smaller in the case of concentrated local control strategy.
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Maharjan, Manisha, Ujjwol Tamrakar, Zhen Ni, Bishnu Bhattarai, and Reinaldo Tonkoski. "Overvoltage Prevention and Curtailment Reduction Using Adaptive Droop-Based Supplementary Control in Smart Inverters." Applied Sciences 11, no. 17 (2021): 7900. http://dx.doi.org/10.3390/app11177900.

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Recent developments in the renewable energy sector have seen an unprecedented growth in residential photovoltaic (PV) installations. However, high PV penetration levels often lead to overvoltage problems in low-voltage (LV) distribution feeders. Smart inverter control such as active power curtailment (APC)-based overvoltage control can be implemented to overcome these challenges. The APC technique utilizes a constant droop-based approach which curtails power rigidly, which can lead to significant energy curtailment in the LV distribution feeders. In this paper, different variations of the APC technique with linear, quadratic, and exponential droops have been analyzed from the point-of-view of energy curtailment for a LV distribution network in North America. Further, a combinatorial approach using various droop-based APC methods in conjunction with adaptive dynamic programming (ADP) as a supplementary control scheme has also been proposed. The proposed approach minimizes energy curtailment in the LV distribution network by adjusting the droop gains. Simulation results depict that ADP in conjunction with exponential droop reduces the energy curtailment to approximately 50% compared to using the standard linear droop.
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Shadi, Mohammad Reza, Hamid Mirshekali, Rahman Dashti, Mohammad-Taghi Ameli, and Hamid Reza Shaker. "A Parameter-Free Approach for Fault Section Detection on Distribution Networks Employing Gated Recurrent Unit." Energies 14, no. 19 (2021): 6361. http://dx.doi.org/10.3390/en14196361.

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Faults in distribution networks can result in severe transients, equipment failure, and power outages. The quick and accurate detection of the faulty section enables the operator to avoid prolonged power outages and economic losses by quickly retrieving the network. However, the occurrence of diverse fault types with various resistances and locations and the highly non-linear nature of distribution networks make fault section detection challenging for numerous conventional techniques. This study presents a cutting-edge deep learning-based algorithm to distinguish fault sections in distribution networks to address these issues. The proposed gated recurrent unit model utilizes only two samples of the angle between the voltage and current on either side of the feeders, which record by smart feeder meters, to detect faulty sections in real time. When a network fault occurs, the protection relays trigger the trip command for the breakers. Immediately, the angle data are obtained from all smart feeder meters of the network, which comprises a pre-fault sample and a post-fault sample. The data are then employed as an input to the pre-trained gated recurrent unit model to determine the faulted line. The performance of this novel algorithm was validated through simulations of various fault types in the IEEE-33 bus system. The model recognizes the faulty section with competitive performance in terms of accuracy.
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Patnaik, Samarjit, Manas Ranjan Nayak, and Meera Viswavandya. "Smart deployment of energy storage and renewable energy sources for improving distribution system efficacy." AIMS Electronics and Electrical Engineering 6, no. 4 (2022): 397–417. http://dx.doi.org/10.3934/electreng.2022024.

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<abstract><p>Climate change, global warming, the depletion of fossil fuels, and rising energy demand are the main forces behind the increase in renewable energy sources. However, the unpredictability of power output from these renewable energy sources presents distribution system integration issues such as limited feeder capacity, unstable voltage, and network power loss. This study analyses the African vulture optimisation algorithm to determine the best allocation of distribution generators, with an emphasis on reducing the ageing of distribution transformers and delaying investment in feeders. The optimization technique provides faster global convergence and outperforms existing bio-inspired algorithms verified with benchmark uni-modal functions as a result of a larger crossover between the exploration and exploitation phases. The key aim is to decrease active power loss while simultaneously enhancing security margin and voltage stability. The IEEE 69-bus RDS system is utilised to validate the case studies for appropriate allocation of photovoltaic, wind turbine generation, and battery energy storage systems units, as well as offering the ideal energy management approach. During simulation, uncertainty on the characteristics of renewable energy source is accounted for. The results demonstrate the efficacy of the proposed algorithm with a substantial improvement in voltage profile, the benefit of lower CO2 emissions, an increase in security margin of up to 143%, and the advantage of extending the feeder investment deferral period by more than 50 years. In addition, the distribution transformer ageing acceleration factor improves significantly in the case of an increase in load demand.</p></abstract>
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Farag, Hany E., Ehab F. El-Saadany, and Ravi Seethapathy. "A Two Ways Communication-Based Distributed Control for Voltage Regulation in Smart Distribution Feeders." IEEE Transactions on Smart Grid 3, no. 1 (2012): 271–81. http://dx.doi.org/10.1109/tsg.2011.2167355.

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Pato, Pedro A. V., Fernanda C. L. Trindade, and Xiaoyu Wang. "Hosting high PV penetration on distribution feeders with smart inverters providing local var compensation." Electric Power Systems Research 217 (April 2023): 109168. http://dx.doi.org/10.1016/j.epsr.2023.109168.

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28

Iswanto Suwarno, Nia Maharani Raharja, Dhiya Uddin Rijalusalam, et al. "Technology Dissemination of Smart Tani Fish Farmers in Karang Kepanjen Hamlet, Trimulyo Village, Sleman District, Sleman Regency." Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia 1, no. 7 (2021): 297–304. http://dx.doi.org/10.59247/jppmi.v1i7.35.

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Smartani "Fish Farming SMEs" is located in an agricultural area in Sleman Regency, precisely in Karang Kepanjen Hamlet, Trimulyo Village, Sleman District, Sleman Regency, Yogyakarta Special Region has been conducting tilapia cultivation activities since 2012. Smartani fishery cultivation is led by Mr. Bondan Widoropexy. In fact, Mr. Bondan Widoropeksi has a large enough market opportunity for aquaculture. However, this opportunity brings consequences and problems, namely the lack of a touch of innovation from the fish feeding system. Information about some of the problems faced by fish farming must be addressed as soon as possible as a solution for developing aquaculture business. Through this proposed science and technology activity program and based on the needs analysis that has been carried out, the service team tries to offer solutions to these problems with a touch of science and technology, namely through the main activity of designing remote fish feeders with IoT technology. This remote fish feed technology uses Arduino type microcontroller technology which is equipped with remote communication technology using GSM modules. The schedule of fish feeders and the dose of the amount of feed needed by the fish can be set automatically and remotely using IoT technology.
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B, Dr Devika. "Monitoring and Feeding System for Pets." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 892–904. http://dx.doi.org/10.22214/ijraset.2021.36391.

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Over the years, more and more households are beginning to have pets. So, the most important issue recently was how to raise pets in an easy way. In today’s world, there is a growing focus on the regular interactions between human and physical devices. This paper introduces a smart pet monitoring and feeding system that is working in an environment of Internet of Things (IoT). Pet feeders came into existence as pet owners found it difficult to cater time to feed their pets. This system allows the owner to schedule and manage feeding times, portion sizes, and food supply for pets. They are controllable on smartphones using blynk and computers in order to feed them even when owners are away. The food dispensing mechanism is performed by the servomotor. It allows the user to monitor the pets using IP camera. A voice recording module is interfaced to the Arduino Uno with the owner’s voice recording for calling the pets at the meal time. Automatic water refilling has been designed and implemented along with the food dispenser.It offers new and developed way of feeding pets without the need of human intervention with refill alert and feeding alert. . Using smart pet feeder in houses will assure pet owners and increase comfort and peace of mind. Especially when we are unavailable for them.
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Dashtdar, Majid, and Masoud Dashtdar. "Detecting the Fault Section in the Distribution Network with Distributed Generators Based on Optimal Placement of Smart Meters." Scientific Bulletin of Electrical Engineering Faculty 19, no. 2 (2019): 28–34. http://dx.doi.org/10.1515/sbeef-2019-0017.

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AbstractOne of the most important issues in employing distribution networks is detecting the fault location in medium-voltage distribution feeders. Due to the vastness of distribution networks and growing distributed generation (DG) sources in this network, detection is difficult with the common methods. The aim of this paper is to present a method based on voltage distributed meters in a medium-voltage distribution network (by smart meters installed along the feeder) in order to detect the fault location in the presence of DG sources. Due to vastness of distribution network and cost of installing smart meters, it is not economically possible to install meters in all the Buses of the network. That’s why in this article, combination of genetic and locating algorithms and fault-based on voltage drop has been used to suggest a method to optimize the meter locations. In order to evaluate the efficiency of the method suggested, first we determine the optimal number and location of the meters and then we apply the fault that has been simulated in different Buses of the sample network, using PSCAD/EMTDC software. After results analysis, the fault location is estimated by MATLAB. Simulation results show that the fault locating method by optimal number of meters has good efficiency and accuracy in detecting faults in different spots and in different resistance ranges.
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Manousakis, Nikolaos M., and George N. Korres. "Application of State Estimation in Distribution Systems with Embedded Microgrids." Energies 14, no. 23 (2021): 7933. http://dx.doi.org/10.3390/en14237933.

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In this paper, a weighted least square (WLS) state estimation algorithm with equality constraints is proposed for smart distribution networks embedded with microgrids. Since only a limited number of real-time measurements are available at the primary or secondary substations and distributed generation sites, load estimates at unmeasured buses remote from the substations are needed to execute state estimation. The load information can be obtained by forecasted and historical data or smart real-time meters. The proposed algorithms can be applied in either grid-connected or islanded operation mode and can efficiently identify breaker status errors at the main substations and feeders, where sufficient measurement redundancy exists. The impact of the accuracy of real and pseudo-measurements on the estimated bus voltages is tested with a 55-bus distribution network including distributed generation.
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Gunawan, Indra, and Hamzan Ahmadi. "Kajian Dan Rancang Bangun Alat Pakan Ikan Otomatis (Smart Feeder) Pada Kolam Budidaya Ikan Berbasis Internet Of Things." Infotek : Jurnal Informatika dan Teknologi 7, no. 1 (2024): 40–51. http://dx.doi.org/10.29408/jit.v7i1.23523.

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In fish farming, the timing of fish feeding is very important, fish need regular and continuous feed. Feed is a component in fish farming that is useful for growth, so feeding is fundamental in fish farming. Overfeeding can increase production costs and degrade water quality. Fish farmers often have to do several activities at the same time, which can lead to errors in the amount of fish feed. This results in large feed costs and decreased pond water quality. Seeing these problems, a study was conducted that aims to create a tool that can monitor water quality and automatic fish feeders using Internet of Things (IoT) technology that functions to monitor feed schedules and water quality conditions that can be seen through applications on smartphones, in addition to monitoring water quality and automatic feeders, it can also display log data on the amount of fish feed that has been given, fish feed is running out and water turbidity conditions have reached more than 25 NTU. At the time of testing, the tool has worked well, the tool can monitor the amount of feed, and Turbidity sensor can read the level of water turbidity, this tool can also send realtimei information well, the time required in sending information on the application is ± 2 seconds
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Hashmi, Waqas, Shahid Atiq, Muhammad Majid Hussain, and Khurram Javed. "Tele-Trafficking of Virtual Data Storage Obtained from Smart Grid by Replicated Gluster in Syntose Environment." Energies 17, no. 10 (2024): 2344. http://dx.doi.org/10.3390/en17102344.

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One of the most important developments in the energy industry is the evolution of smart grids, which record minute details of voltage levels, energy usage, and other critical electrical variables through General Packet Radio Service (GPRS)-enabled meters. This phenomenon creates an extensive dataset for the optimization of the grid system. However, the minute-by-minute energy details recorded by GPRS meters are challenging to store and manage in physical storage resources (old techniques lead to a memory shortage). This study investigates using the distributed file system, replicated Gluster, as a reliable storage option for handling and protecting the enormous volumes of data produced by smart grid components. This study performs two essential tasks. (1) The storage of virtual data received from GPRS meters and load flow analysis of SynerGee Electric 4.0 software from the smart grid (we have extracted electrical data from 16 outgoing feeders, distributed lines, in this manuscript). (2) Tele-trafficking is performed to check the performance of replicated Gluster (RG) for virtual data (electrical data received from the smart grid) storage in terms of User Datagram Protocol (UDP), Transmission Control Protocol (TCP), data flow, and jitter delays. This storage technique provides more opportuni11ty to analyze and perform smart techniques efficiently for future requirement, analysis, and load estimation in smart grids compared to traditional storage methods.
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Nurwahono, Lugito, and Budi Sudiarto. "SELF-HEALING MECHANISM BASED ON FAULT MANAGEMENT FOR SMART-GRID DEVELOPMENT ON 20kV SPINDLE NETWORKS TO IMPROVE DISTRIBUTION SYSTEM RELIABILITY AT PLN UID JAKARTA-INDONESIA." International Journal Science and Technology 3, no. 2 (2024): 17–28. http://dx.doi.org/10.56127/ijst.v3i2.1462.

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This study aim is to study for the development of smart grid with the implementation of network automation in the spindle system to improve reliability, revenue and customer experience in the priority areas of PLN UID Jakarta. The addition of new substations has an impact on the reconfiguration changes and the addition of new networks in the context of loading feeders and causing the topology of the distribution network to be increasingly complex and impure spindle systems, in addition to the jammed condition of Jakarta also has an impact on the longer time in investigating disturbances, as well as the limited investment budget of PLN has not supported the installation of new keypoints in all distribution substations. This research was carried out by system modeling in the SCADA Distribution Management System for N-1 contingency and a simulation of the Self-Healing Mechanism test based on static and dynamic data parameters in real-time according to the Load Flow and Load Forecast in the SCADA systems. Evaluation of technical and financial feasibility as a smart feeder design that will be implemented in the spindle system, on the other hand, it is expected to be a Distribution Grid Management design that is feasible to be implemented in the 20kV Spindle system as an alternative to Zero Down Time to accelerate the recovery time of distribution disruptions and improve reliability performance in controlling the operation of the distribution system at PLN UID Jakarta.
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Tanaka, Toshihiko, Tsukasa Sekiya, Hidenori Tanaka, Masayuki Okamoto, and Eiji Hiraki. "Smart Charger for Electric Vehicles With Power-Quality Compensator on Single-Phase Three-Wire Distribution Feeders." IEEE Transactions on Industry Applications 49, no. 6 (2013): 2628–35. http://dx.doi.org/10.1109/tia.2013.2262915.

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36

Vieira, Francinei L., Pedro H. M. Santos, José M. Carvalho Filho, Roberto C. Leborgne, and Marino P. Leite. "A Voltage-Based Approach for Series High Impedance Fault Detection and Location in Distribution Systems Using Smart Meters." Energies 12, no. 15 (2019): 3022. http://dx.doi.org/10.3390/en12153022.

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High impedance faults (HIFs) have been a major concern for protecting distribution systems and public safety hazards when involving downed conductors. The deployment of smarter grids brings new technologies for smart monitoring, automation, and protection of distribution networks. This paper presents a new method for a series of HIF detection and location in primary distribution feeders, using voltage unbalance measurements collected from smart meters (SMs) installed at low-voltage end-users. The methodology was tested in MATLAB and Simulink through steady-state simulations of a typical 13.8 kV distribution system, under load unbalance and different fault scenarios. Results show that the proposed method is robust and accurate for the detection of blown fuses and broken conductors, with or without ground faults, located either at the source or the load-side. The ease of implementation in SM design, formulation of parameters, and reliable simulation results show potential real-life applications.
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37

Luke, Madison M. E., Jillian E. M. Burgess, and Luciano A. Gonzalez. "266 Breed differences in feeding behavior measured by two remote monitoring technologies in feedlot steers." Journal of Animal Science 102, Supplement_3 (2024): 90–91. http://dx.doi.org/10.1093/jas/skae234.103.

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Abstract Estimation of individual dry matter intake (DMI) is required to optimize feed efficiency, carcass endpoint and profitability of feedlot cattle. However, measuring individual DMI is not practical or economically viable in a commercial setting. It is suggested that feeding behavior measured by remote monitoring technologies could be used to predict DMI of feedlot steers in real-time. However, inherent differences between breeds could influence DMI and feeding behavior and therefore these may need to be considered to predict DMI from feeding behavior. The objective of the present study was to assess differences between breeds in DMI and feeding behavior using data collected from radio-frequency identification (RFID) tags linked to electronic feeders and smart ear tags with accelerometers. Twenty-four steers from each breed [Angus, Brahman and Charolais; initial body weight (BW) = 335 ± 25.0 kg/steer) were fed using 10 electronic feeders in a serial slaughter trial for up to 200 d with 50 d slaughter intervals. Data were averaged per animal and ANOVA was performed with fixed effects of breed and length of the feeding period. There was no interaction between breed and length of feeding period (P > 0.05). DMI, feeding time and visit length measured by RFID, were less in Brahman compared with Angus and Charolais steers (P < 0.05). Eating rate (g/min) was not affected by breeds (P > 0.05); however, Brahmans ate faster compared with the other two breeds when expressed as gּ min-1ּ kg BW-1 (P ≤ 0.001). Smart tags showed that daily eating and ruminating times were longest in Charolais and shortest in Brahman (P < 0.05). In contrast, time spent not active was longest in Brahman and shortest in Charolais (P ≤ 0.001). Daily ‘active’ time was longer and ‘highly active’ shorter in Angus and Brahman compared with Charolais (P < 0.001). Differences in feeding behavior suggest that breed should be considered to predict DMI from RFID and smart ear tag technologies.
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38

Dobrinkova, Nina, and Valentin Slavov. "Flood risk zones of Maritza River and its feeders around Svilengrad municipality estimated under Smart Water project." International Journal of Data Science 1, no. 4 (2016): 330. http://dx.doi.org/10.1504/ijds.2016.081369.

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39

Ku, Te-Tien, Chia-Hung Lin, Chao-Shun Chen, and Cheng-Ting Hsu. "Coordination of Transformer On-Load Tap Changer and PV Smart Inverters for Voltage Control of Distribution Feeders." IEEE Transactions on Industry Applications 55, no. 1 (2019): 256–64. http://dx.doi.org/10.1109/tia.2018.2870578.

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Mahfouz, Mohamed M. A. "A protection scheme for multi-distributed smart microgrid based on auto-cosine similarity of feeders current patterns." Electric Power Systems Research 186 (September 2020): 106405. http://dx.doi.org/10.1016/j.epsr.2020.106405.

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41

Priyadarshini, S., and C. K. Panigrahi. "Optimal Allocation of Synchrophasor Units in the Distribution Network Considering Maximum Redundancy." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6494–99. http://dx.doi.org/10.48084/etasr.3862.

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Phasor Measurement Unit (PMU) is a smart measuring device commonly used in wide-area monitoring systems. It provides the synchronized phasor values and the magnitudes of voltages and currents in real-time for the proper state calculation of the electrical network in a common time reference frame. But in order to avoid unnecessary placements, minimize installation cost, and due to the lack of communication facilities at the substations, the placing of PMUs at every location is not possible. Therefore several optimization techniques have been developed to solve the Optimal PMU Placement (OPP) problem. The OPP problem aims to reduce the number of PMUs by achieving a completely observable network. Many solutions to the OPP problem have been proposed for the transmission networks with the use of conventional and heuristic-based approaches, but very few for distribution networks. In this paper, the Binary Grey Wolf Optimization (BGWO) algorithm is proposed to solve the OPP problem considering the measurement redundancy (MR) to achieve complete observability of the distribution network. Finally, case studies have been done by implementing the proposed algorithm on different IEEE test feeders such as the IEEE -13, -33, -37, and -123 node feeder systems. The obtained results are compared with previous studies to verify the feasibility and efficiency of the proposed technique.
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Priyadarshini, S., and C. K. Panigrahi. "Optimal Allocation of Synchrophasor Units in the Distribution Network Considering Maximum Redundancy." Engineering, Technology & Applied Science Research 10, no. 6 (2020): 6494–99. https://doi.org/10.48084/etasr.3862.

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Phasor Measurement Unit (PMU) is a smart measuring device commonly used in wide-area monitoring systems. It provides the synchronized phasor values and the magnitudes of voltages and currents in real-time for the proper state calculation of the electrical network in a common time reference frame. But in order to avoid unnecessary placements, minimize installation cost, and due to the lack of communication facilities at the substations, the placing of PMUs at every location is not possible. Therefore several optimization techniques have been developed to solve the Optimal PMU Placement (OPP) problem. The OPP problem aims to reduce the number of PMUs by achieving a completely observable network. Many solutions to the OPP problem have been proposed for the transmission networks with the use of conventional and heuristic-based approaches, but very few for distribution networks. In this paper, the Binary Grey Wolf Optimization (BGWO) algorithm is proposed to solve the OPP problem considering the measurement redundancy (MR) to achieve complete observability of the distribution network. Finally, case studies have been done by implementing the proposed algorithm on different IEEE test feeders such as the IEEE -13, -33, -37, and -123 node feeder systems. The obtained results are compared with previous studies to verify the feasibility and efficiency of the proposed technique.
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43

Sheldon, Roger. "CLEAs, Combi-CLEAs and ‘Smart’ Magnetic CLEAs: Biocatalysis in a Bio-Based Economy." Catalysts 9, no. 3 (2019): 261. http://dx.doi.org/10.3390/catal9030261.

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Biocatalysis has emerged in the last decade as a pre-eminent technology for enabling the envisaged transition to a more sustainable bio-based economy. For industrial viability it is essential that enzymes can be readily recovered and recycled by immobilization as solid, recyclable catalysts. One method to achieve this is via carrier-free immobilization as cross-linked enzyme aggregates (CLEAs). This methodology proved to be very effective with a broad selection of enzymes, in particular carbohydrate-converting enzymes. Methods for optimizing CLEA preparations by, for example, adding proteic feeders to promote cross-linking, and strategies for making the pores accessible for macromolecular substrates are critically reviewed and compared. Co-immobilization of two or more enzymes in combi-CLEAs enables the cost-effective use of multiple enzymes in biocatalytic cascade processes and the use of “smart” magnetic CLEAs to separate the immobilized enzyme from other solids has raised the CLEA technology to a new level of industrial and environmental relevance. Magnetic-CLEAs of polysaccharide-converting enzymes, for example, are eminently suitable for use in the conversion of first and second generation biomass.
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Tanaka, Hidenori, Toshihiko Tanaka, Takaaki Wakimoto, Eiji Hiraki, and Masayuki Okamoto. "Reduced-Capacity Smart Charger for Electric Vehicles on Single-Phase Three-Wire Distribution Feeders With Reactive Power Control." IEEE Transactions on Industry Applications 51, no. 1 (2015): 315–24. http://dx.doi.org/10.1109/tia.2014.2327156.

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Yahzunka, Adel, Agung Budi Prasetyo, Muhammad Rafiul Haq, Euaglion Eko Firmansyah, and Dafit Ari Prasetyo. "Smart Cultivation System: Innovation Concept for Designing a Modern and Automatic Shrimp Farming Technology System Powered by Renewable Energy." Action Research Literate 8, no. 4 (2024): 677–83. http://dx.doi.org/10.46799/arl.v8i4.296.

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The research presents a comprehensive exploration of energy calculations and pond design for smart cultivation systems, with a focus on shrimp ponds. Through interviews and analysis, the energy consumption of various components such as lights, waterwheels, and pumps was determined, leading to the calculation of total power consumption and the specification of necessary equipment like inverters, batteries, and solar panels. Furthermore, the study proposes the integration of renewable energy sources, such as solar and wind power, into the pond system, enhancing sustainability and reducing environmental impact. The incorporation of IoT technology facilitates real-time energy monitoring and optimization. Additionally, innovative solutions like water filtration systems and solar-powered automatic feeders are introduced to improve water quality and feeding efficiency, respectively. The application of microcontroller-based solar street lighting enhances energy efficiency and maintenance ease. A SWOT analysis underscores the strengths, weaknesses, opportunities, and threats of the proposed smart cultivation system, emphasizing its potential for energy efficiency, environmental friendliness, and long-term cost savings despite challenges such as weather dependence and technological limitations. Overall, the research underscores the feasibility and benefits of integrating renewable energy and modern technology in shrimp pond management for sustainable and efficient aquaculture practices.
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Tanaka, Hidenori, Takaaki Wakimoto, Toshihiko Tanaka, Masayuki Okamoto, and Eiji Hiraki. "Reducing Capacity of Smart Charger for Electric Vehicles on Single-Phase Three-Wire Distribution Feeders with Reactive Power Control." IEEJ Journal of Industry Applications 3, no. 6 (2014): 437–45. http://dx.doi.org/10.1541/ieejjia.3.437.

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47

Hamedi, Masoud, Hossein Shayeghi, Seyedjalal Seyedshenava, et al. "Developing an Integration of Smart-Inverter-Based Hosting-Capacity Enhancement in Dynamic Expansion Planning of PV-Penetrated LV Distribution Networks." Sustainability 15, no. 14 (2023): 11183. http://dx.doi.org/10.3390/su151411183.

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With the penetration of distributed energy resources (DERs), new network challenges arise that limit the hosting capacity of the network, which consequently makes the current expansion-planning models inadequate. Smart inverters as a promising tool can be utilized to enhance the hosting capacity. Therefore, in response to technical, economic, and environmental challenges, as well as government support for renewable resources, especially domestic solar resources located at the point of consumption, this paper is an endeavor to propose a smart-inverter-based low-voltage (LV) distribution expansion-planning model. The proposed model is capable of dynamic planning, where multiple periods are considered over the planning horizon. In this model, a distribution company (DISCO), as the owner of the network, intends to minimize the planning and operational costs. Optimal loading of transformers is considered, which is utilized to operate the transformers efficiently. Here, to model the problem, a mixed-integer nonlinear programming (MINLP) model is utilized. Using the GAMS software, the decision variables of the problem, such as the site and size of the installation of distribution transformers, and their service areas specified by the LV lines over the planning years, and the reactive power generation/absorption of the smart inverters over the years, seasons, and hours are determined. To tackle the operational challenges such as voltage control in the points of common coupling (PCC) and the limitations in the hosting capacity of the network for the maximized penetration level of PV cells, a smart-inverter model with voltage control capability in PCC points is integrated into the expansion-planning problem. Then, a two-stage procedure is proposed to integrate the reactive power exchange capability of smart inverters in the distribution expansion planning. Based on the simulations of a residential district with PV penetration, results show that by a 14.7% share of PV energy generation, the loss cost of LV feeders is reduced by 28.3%. Also, it is observed that by optimally making use of the reactive power absorption capability of the smart inverters, the hosting capacity of the network is increased by 50%.
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48

Silva, Felipe Condon, Mohamed A. Ahmed, José Manuel Martínez, and Young-Chon Kim. "Design and Implementation of a Blockchain-Based Energy Trading Platform for Electric Vehicles in Smart Campus Parking Lots." Energies 12, no. 24 (2019): 4814. http://dx.doi.org/10.3390/en12244814.

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This paper proposes a blockchain-based energy trading platform for electric vehicles in smart campus parking lots. Smart parking lots are smart places capable of supporting both parking and charging services for electric vehicles. The electric vehicle owner may want to charge energy at a low price and sell it during peak hours at a higher price. The proposed system architecture consists of two layers: the physical infrastructure layer and the cyber infrastructure layer. The physical infrastructure layer represents all of the physical components located in the campus distribution power system, such as electric vehicles charging stations, transformers, and electric feeders, while the cyber infrastructure layer supports the operation of the physical infrastructure layer and enables selling/buying energy among participants. Blockchain technology is a promising candidate to facilitate auditability and traceability of energy transactions among participants. A real case of a parking lot with a realistic parking pattern in a university campus is considered. The system consists of a university control center and various parking lot local controllers (PLLCs). The PLLC broadcasts the electricity demand and the grid price, and each electric vehicle owner decides whether to charge/discharge based on their benefits. The proposed system is implemented on Hyperledger Fabric. Participants, assets, transactions, and smart contracts are defined and discussed. Two scenarios are considered. The first scenario represents energy trading between electric vehicles as sellers and the PLLC as a buyer, while the second scenario involves energy trading between electric vehicles as buyers and the PLLC as a seller. The proposed platform provides profits for participants, as well as enables balancing for the university load demand locally.
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49

David Chigozie Madumere, Evans C. Ashigwuike, and N.B. Gafai. "Expert system for improving and controlling insulation system of service transformers using fuzzy logic controller." Global Journal of Engineering and Technology Advances 18, no. 3 (2024): 066–74. http://dx.doi.org/10.30574/gjeta.2024.18.3.0194.

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Implementation of the smart transformer concept is critical for the deployment of IOT-based smart grids. Top manufacturers of power electrics develop and adopt online monitoring systems. Such systems become part of high-voltage grid and unit transformers. However, furnace transformers are a broad category that this change does not affect yet. At the same time, adoption of diagnostic systems for furnace transformers is relevant because they are a heavy-duty application with no redundancy. Creating any such system requires a well-founded mathematical analysis of the facility’s condition, carefully selected diagnostic parameters, and set points thereof, which serve as the condition categories. The goal hereof was to create an expert system to detect insulation breach and its expansion as well as to evaluate the risk it poses to the system; the core mechanism is mathematical processing of trends in partial discharge (PD). This research work examined the acidity of distribution transformer oil in service through laboratory tests using a case study of installed distribution transformers at Abuja metropolis network comprising ten Feeders. The result shows the minimum breakdown voltage of 40KV/mm and maximum breakdown voltage of 58KV/mm. The maximum transformer oil Acidity is 0.1143mgKOH/g and the minimum transformer oil Acidity level is 0.0954mgKOH/g. The transformer efficiency without fuzzy is 82.89% and transformer efficiency with fuzzy controller is 98.10%.
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David, Chigozie Madumere, C. Ashigwuike Evans, and Gafai N.B. "Expert system for improving and controlling insulation system of service transformers using fuzzy logic controller." Global Journal of Engineering and Technology Advances 18, no. 3 (2024): 066–74. https://doi.org/10.5281/zenodo.10951826.

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Implementation of the smart transformer concept is critical for the deployment of IOT-based smart grids. Top manufacturers of power electrics develop and adopt online monitoring systems. Such systems become part of high-voltage grid and unit transformers. However, furnace transformers are a broad category that this change does not affect yet. At the same time, adoption of diagnostic systems for furnace transformers is relevant because they are a heavy-duty application with no redundancy. Creating any such system requires a well-founded mathematical analysis of the facility’s condition, carefully selected diagnostic parameters, and set points thereof, which serve as the condition categories. The goal hereof was to create an expert system to detect insulation breach and its expansion as well as to evaluate the risk it poses to the system; the core mechanism is mathematical processing of trends in partial discharge (PD). This research work examined the acidity of distribution transformer oil in service through laboratory tests using a case study of installed distribution transformers at Abuja metropolis network comprising ten Feeders. The result shows the minimum breakdown voltage of 40KV/mm and maximum breakdown voltage of 58KV/mm. The maximum transformer oil Acidity is 0.1143mgKOH/g and the minimum transformer oil Acidity level is 0.0954mgKOH/g. The transformer efficiency without fuzzy is 82.89% and transformer efficiency with fuzzy controller is 98.10%.
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