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Relevant bibliographies by topics / Intelligent power distribution terminal

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Academic literature on the topic 'Intelligent power distribution terminal'

Author: Grafiati

Published: 4 June 2025

Last updated: 23 June 2025

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Journal articles on the topic "Intelligent power distribution terminal"

1

Xiang, Yingyu, Haoqing Hu, Qian Fang, Hongwen Liu, and Tianze Cheng. "Research on Cloud-Edge-Terminal function configuration based on differentiated low-voltage intelligent distribution network." Journal of Physics: Conference Series 2479, no. 1 (2023): 012061. http://dx.doi.org/10.1088/1742-6596/2479/1/012061.

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Abstract At the present, more than 30 low-voltage intelligent distribution rooms have been built in Yunnan Power Grid, covering incoming cabinets, distribution substations, low-voltage switches and environmental monitoring, etc. The intelligent distribution rooms use the Cloud-Edge-Terminal architecture model for intelligent management, monitoring and control of low-voltage distribution rooms but there are generally problems such as low level of heterogeneous data application, insufficient correlation analysis capability, fault location. However, there are problems such as low level of heterogeneous data application, insufficient correlation analysis capability, inaccurate fault location, excessive network load, insufficient sensing capability of sensing terminals and unreasonable configuration. Based on the application model of low-voltage intelligent distribution network of Yunnan power grid, Our paper intends to summarize the experience and methods to support operation and maintenance, fault repair and customer service and study the differentiated low-voltage intelligent distribution Cloud-Edge-Terminal solution to improve the efficiency of intelligent distribution network operation and maintenance.

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Lu, Dan, Yang Liu, Jungang Li, et al. "Research on typical application in distribution station area." Journal of Physics: Conference Series 2087, no. 1 (2021): 012022. http://dx.doi.org/10.1088/1742-6596/2087/1/012022.

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Abstract The traditional power distribution station area lacks advanced functions for power distribution, and it is not conducive to operation and maintenance management. In order to improve the intelligent level of the distribution station area, it is constructed around with the intelligent distribution transformer terminal. Take intelligent distribution transformer terminal as the centre, the schemes of some typical applications, such as topology identification, line impedance analysis and three-phase unbalanced governance, are researched and designed to support the construction of distribution station area.

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Zu, Zhang, Qing Zhang, and Tongtong Sun. "Design of Intelligent Power Distribution Terminal Based on DSP." International Journal of Sciences Volume 6, no. 2017-02 (2017): 11–15. https://doi.org/10.5281/zenodo.3349357.

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In view of the traditional distribution terminal reactive power compensation effect is poor, the response is not quick enough and so on, this paper designs a kind of intelligent power distribution terminal device based on TMS320F28335 chip DSP. Reactive power compensation module using switching virtual circuit(SVC), proposed by improving the C.P.Steinmetz theory, we derive a containing power factor compensation admittance algorithm, reactive power theory and practical formula using instantaneous with this algorithm as SVC control strategy. The distribution terminal can realize dynamic reactive power compensation system, improve the three-phase unbalance,effectively prevent excessive compensation, but also be used for the on-line monitoring of distribution transformer has a rich communication interface can also be used for online monitoring of the transformer, has a rich communication interface. Simulation results show the algorithm has high response speed and accuracy.Read Complete Article at ijSciences: V62017011183 AND DOI: http://dx.doi.org/10.18483/ijSci.1183

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Amjad, Khan, Ullah Kaleem, and Muhammad Naeem Arbaab Dr. "Designing and Simulation Analysis of Power management (Power Monitoring and Power Distribution) and Automatic System through Wireless communication." International Journal of Engineering Works (ISSN:2409-2770) 4, no. 1 (2017): 29–32. https://doi.org/10.5281/zenodo.268412.

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This Paper presents the basic concept and methodology of smart grid, intelligent load management, intelligent load shedding, theft control, and automatic monitoring through wireless communication using Zigbee module. We have three main units in our project main server, intelligent terminal, local controller. The main server is used to monitor the load and distribute the load according to the requirement of the local controller. The intelligent terminal unit (I.T.U) is a customized unit that is used to distribute the load to the local controller. The local controller is used to monitor and store the consumption of load of the user. Simulations are carried out using PROTEUS Software to verify the performance of the proposed controller. The output shows the controller has fast dynamic response high accuracy of monitoring controlling.

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Song, Hong, Xiao Hui Zeng, and Wei Peng Zhou. "The Software Design for an Automation Intelligent Distribution Terminal Unit in Electric Power Systems Based on C and Assembly Language." Advanced Materials Research 676 (March 2013): 302–5. http://dx.doi.org/10.4028/www.scientific.net/amr.676.302.

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Electric power distribution systems play an important role in electric power systems, in which automation intelligent distribution terminal units are critical for the performance of power distribution systems. The software of an automation intelligent electric power distribution terminal unit based on digital signal processor is designed in the paper, a way of admixture programming with C language and assembly language. In this manner, real-time requirement on the electric power distribution system will be satisfied, the reliability and stability of the software are ensured as while. It has a broad application prospects in electric power systems.

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Zu, Zhang, Qing Zhang, and Tongtong Sun. "Design of Intelligent Power Distribution Terminal Based on DSP." International Journal of Sciences 3, no. 02 (2017): 11–15. http://dx.doi.org/10.18483/ijsci.1183.

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Chen, Zhijun, Chunli Zhou, Chengyu He, Xiqiao Lin, Huiling Qin, and Min Cheng. "Research on Intelligent Terminal Based on Distribution Multi-service Integration under The Dual-carbon Target." Journal of Physics: Conference Series 2564, no. 1 (2023): 012063. http://dx.doi.org/10.1088/1742-6596/2564/1/012063.

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Abstract The distribution network is used to distribute electric energy in the power system, which can reasonably allocate resources according to the power demand of different users. Intelligent terminals for distribution multi-service integration mainly include a distribution switch monitoring module, distribution transformer monitoring module, concentrator, gateway, and main controller. Firstly, the current, voltage, and power of electricity are collected by setting monitoring points in the distribution network and installing current transformers, voltage transformers, and energy meters. The collected data are processed by the distribution transformer monitoring module to improve the effectiveness of the data. Finally, the processed data are sent remotely through the main controller and gateway. By designing a four-in-one intelligent terminal device for distribution multi-service integration, it can monitor power equipment and collect power consumption information of different users, further excavating the potential value of power data, which has practical significance for the improvement of energy utilization efficiency.

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Zhu, Ya Jing, Hui Yu Tian, and Ke Bi. "Study on the Construction of Intelligent Power Distribution Area of Rural Power Grid." Advanced Materials Research 846-847 (November 2013): 400–404. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.400.

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In most of Chinas rural areas, the devices of power distribution area are low configured, simply designed and installed, and have few functions but lots of forms. Beyond, most of them only implement simple functions of power distribution and metering. They couldnt meet the needs of transformation of rural power grid. So its extremely urgent to reconstruct and build intelligent rural power distribution and realize the standardization of information model and the intelligent integrated management of power distribution area to improve the quality and reliability of power supply. In this paper, we analyzed the current development situation of Chinas rural area. Then from the aspect of solving the lagging intelligent level of rural power system, we do some research about developing a new intelligent integrated distribution box and distribution transformer terminal , then we propose the intelligent manage system of power distribution area to realize high intelligent level of power distribution management, high level monitoring and control and greatly improved manage efficiency. At the same time, we enhanced the serving strength for the customer and help to improved the entire intelligent power load , so we could supply high quality power to our customers.

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Hu, Lian Jun, Hong Song, Xiao Hui Zeng, and Wei Peng Zhou. "Circuit Designs for an Automation Intelligent Electrical Distribution Terminal Unit Based on DSP." Applied Mechanics and Materials 538 (April 2014): 281–84. http://dx.doi.org/10.4028/www.scientific.net/amm.538.281.

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An automation intelligent electrical distribution terminal unit is designed in the paper, making full use of the super calculation ability of digital signal processors. Whole hardware design and circuit designs, such as power conversion module, relay control module communication and data storage module etc, are discussed respectively in the paper. Researches on the reliability of the intelligent terminal unit are carried on finally. Results show that the unit can operate safely, stably and reliably.

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Shang, Haijing, and Haiqing Shang. "Big Data Application Technology and Prospect Analysis in Smart Distribution Network." Academic Journal of Science and Technology 2, no. 1 (2022): 179–81. http://dx.doi.org/10.54097/ajst.v2i1.982.

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Intelligent power distribution network system main application technology including the communications, computer and network, the modern electronic technology, etc., adapter power automation system main components for the master station, terminal automation monitoring system and communication system, has formed a complete collection, transmission and processing in the integration of information system, to realize the remote management of distribution network. The application of big data technology in smart distribution network makes it more intelligent and ADAPTS to the needs of social development. This paper analyzes the application technology and prospect of smart distribution network big data.

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Dissertations / Theses on the topic "Intelligent power distribution terminal"

1

Jung, Ju-Hwan. "Intelligent systems for strategic power infrastructure defense /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/5971.

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Tsai, Men-Shen. "Intelligent systems for distribution operational planning and alarm processing in power systems /." Thesis, Connect to this title online; UW restricted, 1993. http://hdl.handle.net/1773/6106.

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Davis, Wesley O'Brian Sr. "Intelligent street lighting application for electric power distribution systems the business case for smartgrid technology." Kansas State University, 2011. http://hdl.handle.net/2097/9189.

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Master of Science<br>Department of Electrical and Computer Engineering<br>Anil Pahwa<br>This research project builds upon previous work related to intelligent and energy efficient lighting in modern street and outdoor lighting systems. The concept of implementing modern smart grid technologies such as the proposed Street & Outdoor Lighting Intelligent Monitoring System (SOLIMS) is developed. A random sample of photocells from two municipal electric power systems is used to collect data of the actual on/off times of random photocells versus Civil Twilight (sunrise/sunset) times. A business case was developed using the data collected from the observations to support an electric utility company’s implementation of SOLIMS as an alternative to current operations. The goal of the business case is to demonstrate energy and capacity savings, reduced maintenance and operating costs, and lower carbon emissions.

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Ghaweta, Ahmad. "OPTIMAL DISTRIBUTION FEEDER RECONFIGURATION WITH DISTRIBUTED GENERATION USING INTELLIGENT TECHNIQUES." UKnowledge, 2019. https://uknowledge.uky.edu/ece_etds/134.

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Feeder reconfiguration is performed by changing the open/close status of two types of switches: normally open tie switches and normally closed sectionalizing switches. A whole feeder or part of a feeder may be served from another feeder by closing a tie switch linking the two while an appropriate sectionalizing switch must be opened to maintain the radial structure of the system. Feeder reconfiguration is mainly aiming to reduce the system overall power losses and improve voltage profile. In this dissertation, several approaches have been proposed to reconfigure the radial distribution networks including the potential impact of integrating Distributed Energy Resources (DER) into the grid. These approaches provide a Fast-Genetic Algorithm “FGA” in which the size and convergence speed is improved compared to the conventional genetic algorithm. The size of the population matrix is also smaller because of the simple way of constructing the meshed network. Additionally, FGA deals with integer variable instead of a binary one, which makes FGA a unique method. The number of the mesh/loop is based on the number of tie switches in a particular network. The validity of the proposed FGA is investigated by comparing the obtained results with the one obtained from the most recent approaches. The second the approach is the implementation of the Differential Evolution (DE) algorithm. DE is a population-based method using three operators including crossover, mutation, and selection. It differs from GA in that genetic algorithms rely on crossover while DE relies on mutation. Mutation is based on the differences between randomly sampled pairs of solutions in the population. DE has three advantages: the ability to find the global optimal result regardless of the initial values, fast convergence, and requirement of a few control parameters. DE is a well-known and straightforward population-based probabilistic approach for comprehensive optimization. In distribution systems, if a utility company has the right to control the location and size of distributed generations, then the location and size of DGs may be determined based on some optimization methods. This research provides a promising approach to finding the optimal size and location of the planned DER units using the proposed DE algorithm. DGs location is obtained using the sensitivity of power losses with respect to real power injection at each bus. Then the most sensitive bus is selected for installing the DG unit. Because the integration of the DG adds positive real power injections, the optimal location is the one with the most negative sensitivity in order to get the largest power loss reduction. Finally, after the location is specified, the proposed Differential Evolution Algorithm (DEA) is used to obtain the optimal size of the DG unit. Only the feasible solutions that satisfy all the constraints are considered. The objective of installing DG units to the distribution network is to reduce the system losses and enhance the network voltage profile. Nowadays, these renewable DGs are required to equip with reactive power devices (such as static VAR compensators, capacitor banks, etc.), to provide reactive power as well as to control the voltage at their terminal bus. DGs have various technical benefits such as voltage profile improvement, relief in feeder loading, power loss minimization, stability improvement, and voltage deviation mitigation. The distributed generation may not achieve its full potential of benefits if placed at any random location in the system. It is necessary to investigate and determine the optimum location and size of the DG. Most distribution networks are radial in nature with limited short-circuit capacity. Therefore, there is a limit to which power can be injected into the distribution network without compromising the power quality and the system stability. This research is aiming to investigate this by applying DG technologies to the grid and keeping the system voltage within a defined boundary [0.95 - 1.05 p.u]. The requirements specified in IEEE Standard 1547 are considered. This research considers four objectives related to minimization of the system power loss, minimization of the deviations of the nodes voltage, minimization of branch current constraint violation, and minimization of feeder’s currents imbalance. The research formulates the problem as a multi-objective problem. The effectiveness of the proposed methods is demonstrated on different revised IEEE test systems including 16 and 33-bus radial distribution system.

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Fehr, Ralph E. "An integrated optimal design method for utility power distribution systems." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001356.

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Basu, Meheli. "Optimal dispatch in Smart Power Grids with partially known deviation." Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/1825.

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Power grid is an interconnected system of supplying electricity from the supplier to the consumer, consisting of electricity generating plant, high voltage transmission lines- to carry electricity from the generating plant to the load center, and distribution lines- to carry electricity from load centers to individual consumers. A lot of research is being pursued to develop technologies for improving the next generation of power grid called the Smart Power Grid. The Smart Power Grid will have sophisticated communication infrastructure to improve the efficiency of electricity generation using renewable energy sources like the sun, water, etc and also to inform consumers of their electricity usage pattern. Also, the electricity market is now divided into three sections- generation, transmission and distribution. Private companies are competing with each other to provide electricity at the most competitive market price. We have developed two algorithms to help generating companies achieve their goal of meeting the hourly electricity need of the consumers and to do so at a minimum total cost.

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7

Sumic, Zarko. "The concept and feasibility of automated electrical plat design via an intelligent decision support system approach /." Thesis, Connect to this title online; UW restricted, 1990. http://hdl.handle.net/1773/5885.

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Cvetkovic, Igor. "Modeling, Analysis and Design of Renewable Energy Nanogrid Systems." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/34994.

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The thesis addresses electronic power distribution systems for the residential applications. Presented are both, renewable energy ac-nanogrid system along with the vehicle-to-grid technology implementation, and envisioned structure and operation of dc-nanogrid addressing all system components chosen as an inherent part of the future electrical architecture. The large-scale model is built and tested in the laboratory environment covering a few operational modes of the ac-nanogrid, while later in the thesis is shown how dc bus signaling technique could be contemplated for the energy management of the renewable energy sources and their maximal utilization. Thesis however puts more focus on the dc-nanogrid system to explore its benefits and advantages for the electrical systems of the future homes that can easily impact not only residential, but also microgrid, grid and intergrid levels. Thus, presented is low frequency terminal behavioral modeling of the system components in dc-nanogrid motivated by the fact that system engineers working on the system-level design rarely have access to all the information required to model converters and system components, other than specification and data given in the datasheets. Using terminal behavioral modeling, converters are measured on-line and their low frequency dynamics is identified by the means of the four transfer functions characteristically used in two port network models. This approach could significantly improve system-level design and simulations. In addition to previously mentioned, thesis addresses terminal behavioral modeling of dc-dc converters with non-linear static behavior showing hybrid behavioral models based on the Hammerstein approach.<br>Master of Science

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9

Woolston, C. P. "A method of increasing capacity of an electricity distribution network through predictive modelling and intelligent protection." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/36121/1/36121_Woolston_2000.pdf.

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This thesis describes the development of a software system which was implemented by the South East Queensland Electricity Board Australia (SEQEB). The software uses temperature probes and mathematical modelling to continuously determine maximum current carrying capacity of underground feeders. It identifies other plant capable of modelling (such as Transformers) and develops a higher level software architecture for which models may be integrated and with which automated overload verification and plant protection may be achieved. The usefulness of this software is that it permits higher currents than usual to be conveyed along cables and allows SEQEB to provide less cabling and still provide the same amount of power, achieving cost benefits. The new software runs over the existing Supervisory Control and Data Acquisition system (SCADA) and because of this, the thesis carries out an appraisal of several commercial SCADA products. This thesis describes the development of the cable-modelling algorithm, the higher level software architecture and describes the design, development and commissioning of this software within South East Electricity Boards' Supervisory Control and Data Acquisition System.

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10

Frazao, Rodrigo José Albuquerque. "PMU based situation awareness for smart distribution grids." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT061/document.

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Une infrastructure robuste de surveillance basée sur des mesures numériques classiques est souvent utilisée pour permettre une gestion efficace du réseau de distribution électrique, néanmoins les mesures de phaseurs synchronisés, également connu comme synchrophaseurs, sont particulièrement efficaces pour améliorer la capacité de gestion et la surveillance de ces réseaux. Le synchrophaseur est un phaseur numériquement calculé à partir des échantillons de données en utilisant une source temporelle absolue pour un horodatage extrêmement précis des mesures effectuées.De ce fait, les applications des synchrophaseurs sont très nombreuses dans les réseaux électriques, en particulier dans les réseaux de transport. Ils permettent notamment de mesurer la différence angulaire entre les noeuds, l'estimation d'état linéaire, détecter l'îlotage, surveiller la stabilité oscillatoire, et détecter et identifier les défauts. Ainsi, nous pourrions être amenés à croire que pour apporter les avantages bien connus des mesures synchronisées vers les réseaux de distribution électriques, il serait seulement nécessaire de placer les Unités de Mesure de Phaseur, également connu par l'abréviation anglophone PMU, d'une manière directe dans l'environnement de la distribution électrique. Malheureusement, cette tâchen'est pas aussi évidente qu'elle n'y paraît.Les réseaux de distribution électriques et les réseaux de transport ont des caractéristiques opérationnelles différentes, donc les PMUs dédiées aux réseaux de distribution doivent avoir des caractéristiques différentes de celles consacrées aux réseaux haute tension. Les réseaux de distribution intelligents possèdent des longueurs de ligne plus courtes en produisant une ouverture angulaire plus petite entre les noeuds adjacents. En outre, le contenu harmonique élevé et la déviation en fréquence imposent aussi des défis pour l'estimation des phaseurs. Les appareils synchronisés avancés dédiés pour la surveillance du réseau de distribution doivent surmonter ces défis afin de mener la précision des mesures au-delà des exigences actuelles.Cette problématique globale est traitée et évaluée dans la présente thèse. La précision de l'estimation de phaseur est directement liée à la performance de l'algorithme utilisé pour traiter les données. Une grande robustesse contre les effets pernicieux qui peuvent dégrader la qualité des estimations est fortement souhaitée. De ce fait, trois algorithmes adaptifs en fréquence sont présentés en visant l'amélioration du processus d'estimation des mesures de phaseurs dans les réseaux de distribution actifs. Plusieurs simulations en utilisant des signaux corrompus sont réalisées pour évaluer leurs performances dans des conditions statiques et/ou dynamiques.Prenant en compte l'estimation précise des phaseurs, quatre applications potentielles sont présentées pour augmenter la perception, la compréhension et la projection des actions dans les réseaux de distribution. Des contributions sont apportées concernant le circuit équivalent de Thévenin vu par le point de couplage commun (PCC) entre la production décentralisée et les réseaux de distribution. Des contributions sont également apportées pour les équivalents dynamiques externes et l'évaluation de la chute de tension dans les réseaux moyenne-tension radiaux, ainsi que l'évaluation de la problématique des harmoniques pour l'amélioration de la méthode classique nomée PH (puissance active harmonique) pour détecter à la fois la principale source de pollution harmonique et le vrai flux de puissance harmonique sous déviation en fréquence.Le sujet des mesures de phaseurs synchronisés dans le réseaux électrique de distribution est encore peu exploré et les questionnements quant à son applicabilité sont communs, néanmoins cette thèse vise à fournir des propositions pour contribuer à l'avènement de mesures de phaseurs dans l'environnement de la distribution électrique<br>Robust metering infrastructure based on classical digital measurements has been used to enable a comprehensive power distribution network management, however synchronized phasor measurements, also known as synchrophasors, are especially welcome to improve the overall framework capabilities. Synchrophasor is a phasor digitally computed from data samples using an absolute and accuracy time source as reference. In this way, since the absolute time source has sufficient accuracy to synchronize voltage and current measurements at geographically distant locations, it is possible to extract valuable informations of the real grid operating status without full knowledge of its characteristics.Due to this fact, applications of synchronized phasor measurements in wide-area management systems (WAMSs) have been achieved. Angular separation, linear state estimation, islanding detection, oscillatory stability, and disturbance location identification are some of the several applications that have been proposed. Thus, we could be lead to believe that to bring the well-known benefits of the synchronized measurements toward electric distribution grids it is only required to place in a straightforward manner conventional Phasor Measurement Units (PMUs) into the electric distribution environment. Unfortunately, this is not as simple as it seems.Electric power distribution systems and high-voltage power systems have different operational characteristics, hence PMUs or PMU-enabled IEDs dedicated to distribution systems should have different features from those devoted to the high-voltage systems. Active distribution grids with shorter line lengths produce smaller angular aperture between their adjacent busbars. In addition, high harmonic content and frequency deviation impose more challenges for estimating phasors. Generally, frequency deviation is related to high-voltage power systems, however, due to the interconnected nature of the overall power system, frequency deviation can be propagated toward the distribution grid. The integration of multiple high-rate DERs with poor control capabilities can also impose local frequency drift. Advanced synchronized devices dedicated to smart monitoring framework must overcome these challenges in order to lead the measurement accuracy beyond the levels stipulated by current standard requirements.This overall problematic is treated and evaluated in the present thesis. Phasor estimation accuracy is directly related to the algorithm's performance used for processing the incoming data. Robustness against pernicious effects that can degrade the quality of the estimates is highly desired. Due to this fact, three frequency-adaptive algorithms are presented aiming to boost the phasor estimation process in active distribution grids. Several simulations using spurious and distorted signals are performed for evaluating their performances under static and/or dynamic conditions.Taking into account accurate phasor estimates, four potential applications are presented seeking to increase situational awareness in distribution environment. Contributions are presented concerning online Thévenin's equivalent (TE) circuit seen by the Point of Common Coupling (PCC) between DERs and the grid side, dynamic external equivalents and online three-phase voltage drop assessment in primary radial distribution grids, as well as assessment of harmonic issues for improving the classical PH method (harmonic active power) to detect both the main source of harmonic pollution and true power flow direction under frequency deviation.The issue of synchronized phasor measurements in electric power distribution systems is still underexplored and suspicions about its applicability are common, however this thesis aims to provide propositions to contribute with the advent of phasor measurements in electric distribution environment

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Books on the topic "Intelligent power distribution terminal"

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IEEE Power Engineering Society. Substations Committee., Institute of Electrical and Electronics Engineers., and IEEE Standards Board, eds. IEEE recommended practice for data communications between remote terminal units and intelligent electronic devices in a substation. Institute of Electrical and Electronics Engineers, 2001.

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J, Maire, Huet O, Electricité de France. Direction des études et recherches., and Electric Power Research Institute, eds. Profiling and mapping of intelligent grid R&D programs: Final report / principal investigator, J. Maire. Electric Power Research Institute, 2006.

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IEEE Power Engineering Society. Substations Committee., Institute of Electrical and Electronics Engineers., and IEEE Standards Board, eds. IEEE trial-use recommended practice for data communications between intelligent electronic devices and remote terminal units in a substation. Institute of Electrical and Electronics Engineers, 1998.

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South Africa) IEEE Power & Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (2012 Johannesburg. IEEE Power & Energy Society Conference and Exposition in Africa: Intelligent Grid Integration of Renewable Energy Resources (PowerAfrica 2012): Johannesburg, South Africa, 9-13 July 2012. IEEE, 2012.

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David, Boswarthick, and Elloumi Omar, eds. The internet of things: Applications to the smart grid and building automation. Wiley, 2012.

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Lyubarskiy, Yuriy, and Aleksandr Hrennikov. Intelligent electrical networks: computer support for dispatching solutions. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1134516.

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For" smart " electric networks, intelligent software tools that perform new functions and increase the level of computer support for dispatching solutions are considered. Given that one of the goals of building "smart" networks is to ensure recovery after accidents, the main focus of the textbook is on the problems of diagnosing emergency situations, intelligent monitoring of the state of electrical networks, and planning for the post-accident restoration of power supply. A new type of software simulator for dispatchers of electrical networks — a simulator for analyzing emergency situations-is considered in detail. The theoretical material is accompanied by many examples in the form of protocols for the operation of real intelligent systems. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of electric power specialties, managers and specialists of operational services of enterprises of power systems, electric and distribution networks and power stations, branches of PJSC ROSSETI, PJSC FGC UES, as well as students of advanced training courses.

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Karampelas, Panagiotis, and Lambros Ekonomou. Electricity Distribution: Intelligent Solutions for Electricity Transmission and Distribution Networks. Springer London, Limited, 2016.

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Karampelas, Panagiotis, and Lambros Ekonomou. Electricity Distribution: Intelligent Solutions for Electricity Transmission and Distribution Networks. Springer Berlin / Heidelberg, 2016.

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Zhang, Bo, and Dongyuan Qiu. Multi-Terminal High-voltage Converter. Wiley & Sons, Limited, John, 2018.

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Zhang, Bo, and Dongyuan Qiu. Multi-Terminal High-voltage Converter. Wiley & Sons, Incorporated, John, 2018.

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Book chapters on the topic "Intelligent power distribution terminal"

1

Shao, Siyuan, Chunfu Shao, and Wei Jin. "Transfer Passenger Distribution Prediction on Flow Lines in Transportation Terminal." In Green Intelligent Transportation Systems. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3551-7_53.

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Zhao, Bo. "Application of Electric Power Automation System Based on Power Distribution Network." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31129-2_95.

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Jiang, Jingjing, Sheng Guan, and Xiangwei Mu. "Dynamic Assignment Model of Terminal Distribution Task Based on Improved Quantum Evolution Algorithm." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2568-1_50.

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Zhang, Xu, Xin Xiao, Le Ma, Chao Liu, Xiangju Sun, and Xiaowei Cheng. "Intelligent Optical Distribution Technology in Power Communication Transmission." In Cyber Security Intelligence and Analytics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96908-0_14.

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Rigatos, Gerasimos. "Condition Monitoring of the Electric Power Transmission and Distribution System." In Intelligent Renewable Energy Systems. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39156-4_10.

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Cuevas, Erik, Primitivo Diaz, and Octavio Camarena. "Locus Search Method for Power Loss Reduction on Distribution Networks." In Intelligent Systems Reference Library. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58100-8_7.

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Stamoulis, Ioannis I., Agapios N. Platis, and Vassilis P. Koutras. "Planning of Electric Power Distribution Networks with Reliability Criteria." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19216-1_43.

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Sunita and V. N. Singh. "Laser Power Distribution for Detection Performance in Laser System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0451-3_59.

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Murthy, K. S. R., and O. P. Rahi. "Wind Power Density Estimation Using Rayleigh Probability Distribution Function." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1819-1_26.

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Jia, Zhi-Juan, Yu Zhang, Cong Feng, and Ming-Sheng Hu. "Dynamical Distribution of Capacities Strategy for Suppressing Cascading Failure in Power Grid." In Intelligent Computing Methodologies. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09339-0_79.

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Conference papers on the topic "Intelligent power distribution terminal"

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Tian, Fangyuan, Yan Li, Chengjie Cao, Jiaqi Zheng, Yifei Fan та Fei Wang. "Research on Distribution Automation Terminal μPMU Optimal Configuration and Application Based on Grid-Connected Monitoring in Active Distribution Networks". У 2024 4th International Conference on Intelligent Power and Systems (ICIPS). IEEE, 2024. https://doi.org/10.1109/icips64173.2024.10899968.

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Chen, Qirui, Hongrui Chen, Yan Li, et al. "Configuration of Intelligent Terminals in Distribution Network Considering Reliability and Economy." In 2025 8th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2025. https://doi.org/10.1109/ceepe64987.2025.11033770.

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Yang, Yang, Shenquan Yang, Can Cui, Shuli Liu, Qiuyang Yu, and Xiaolin Liang. "A Multi Time Scale Layered Control Method for Distribution Networks with Multi Terminal Flexible Interconnection Devices." In 2024 International Conference on Artificial Intelligence and Power Systems (AIPS). IEEE, 2024. http://dx.doi.org/10.1109/aips64124.2024.00109.

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Chen, Huimin, Xinhao Lin, Yuzhang She, et al. "Research and Application of Online Status Evaluation Technology for Electric Power Distribution Automation Terminals." In 2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems (ICPICS). IEEE, 2024. https://doi.org/10.1109/icpics62053.2024.10796407.

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Zhang, Yu, Huifeng Bai, Chao Huo, Ganghong Zhang, and Libin Zheng. "Intelligent Terminal State Recognition in the Distribution Network." In 2024 China International Conference on Electricity Distribution (CICED). IEEE, 2024. http://dx.doi.org/10.1109/ciced63421.2024.10754267.

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Li, Wanzhen, Jie Bai, Lingzhi Zhang, Xunwei Zhao, and Shuang Fang. "Design of power communication terminal based on distribution network protection system." In Ninth International Conference on Energy System, Electricity and Power (ESEP 2024), edited by Mohan Lal Kolhe, Yunfei Mu, Ze Cheng, and Qian Xiao. SPIE, 2025. https://doi.org/10.1117/12.3060530.

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Tian, Qi, Xiaotian Xu, Yue Sun, et al. "A Fuzzy Test Method for Communication Protocol of Distribution Terminal." In 2024 5th International Conference on Clean Energy and Electric Power Engineering (ICCEPE). IEEE, 2024. https://doi.org/10.1109/iccepe62686.2024.10931449.

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Zhu, Jiran, Qi Ren, Lei Ren, Shijing Ding, Tong Kang, and Di Zhang. "Practical Application of Distributed Photovoltaic Orderly Control Based on Platform Intelligent Fusion Terminal." In 2024 China International Conference on Electricity Distribution (CICED). IEEE, 2024. http://dx.doi.org/10.1109/ciced63421.2024.10754390.

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Song, Jinliang, Shujun Yang, Defeng Chen, Tong Li, Dongyang Liu, and ZhuoLin Liu. "Malicious Instructions Detection in Distribution Terminal Units - A Machine Learning Approach." In 2024 The 9th International Conference on Power and Renewable Energy (ICPRE). IEEE, 2024. https://doi.org/10.1109/icpre62586.2024.10768296.

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Xiong, Haijun, Saidi Lan, Yahan Li, and Yizhi Zhang. "Architecture Design and Application Research of Software-Defined Distribution Smart Terminal." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS). IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804480.

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Reports on the topic "Intelligent power distribution terminal"

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George, Hawley, and Owston. PR-015-09603-R01 LNG Measurement Uncertainty Analysis. Pipeline Research Council International, Inc. (PRCI), 2010. http://dx.doi.org/10.55274/r0010699.

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Abstract:

The U.S. natural gas industry is expected to import increasing amounts of liquefied natural gas (LNG) in the near future. When an LNG tanker ship arrives at an LNG terminal, the quantity of LNG transferred to the terminal is found by measuring the changes in static volume within the ships tanks. The LNG volume is inferred from measurements of the liquid height, along with tables of tank characteristics predetermined by a method known as �tank strapping.� Once transferred, the LNG is then regasified at the terminal before being sent to limited distribution companies (LDCs) or power plants. There is concern that the basis for uncertainty estimates in the energy content of the transferred LNG (typically taken as �0.5% to �0.6%) may underestimate the true magnitude of measurement uncertainties. Dynamic methods of liquid flow measurement, gas flow measurement, product sampling, and composition determination used elsewhere in the energy industry may reduce the measurement uncertainties at the LNG terminal, as they relate to terminal balances. Measurement uncertainties for conventional meters and equipment placed into LNG service may lead to more accurate LNG measurement and reduced lost-andunaccounted for (LAUF) quantities at receipt terminals. This report describes research to evaluate the measurement uncertainties associated with both static and dynamic methods of determining LNG volumes and energy content delivered to, processed by, and shipped from, LNG terminals. This was performed to determine whether dynamic methods are potentially more effective than existing static methods for accurate measurements and LAUF determination at LNG terminals. Another objective of the research was to establish which methods offer the most potential for reducing custody transfer measurement uncertainty and LAUF within LNG receipt terminals.

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