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Journal articles on the topic 'Optimization of electrical systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Christensen, Mike L., and David L. Zimmerman. "Optimization of Offshore Electrical Power Systems." IEEE Transactions on Industry Applications IA-22, no. 1 (1986): 148–60. http://dx.doi.org/10.1109/tia.1986.4504696.

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2

Helmke, U., and J. Moore. "Optimization and Dynamical Systems." Proceedings of the IEEE 84, no. 6 (1996): 907. http://dx.doi.org/10.1109/jproc.1996.503147.

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3

Dochviri, J. "Optimization of Control Processes of Digital Electrical Drive Systems." Latvian Journal of Physics and Technical Sciences 47, no. 2 (2010): 16–24. http://dx.doi.org/10.2478/v10047-010-0005-2.

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Optimization of Control Processes of Digital Electrical Drive Systems The aim of the work is solution of the problems associated with synthesis of the digital speed regulators both for DC and AC thyristor electrical drives. The investigation is realized based on the parameters of continuous technological equipment (e.g. paper-making machine) by taking into account elastic transmission links of the drive systems. Appropriate frequency characteristics and transient processes are described.

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4

Sechilariu, Manuela. "Intelligent Energy Management of Electrical Power Systems." Applied Sciences 10, no. 8 (2020): 2951. http://dx.doi.org/10.3390/app10082951.

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Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are alternative current (AC) or direct current (DC), high voltage or low voltage, high power or small power, integrated into the distribution system or the transmission network, multi-source systems always require an intelligent energy management that is integrated into the power system. A comprehensive intelligent energy system aims at providing overall energy efficiency with regard to the following: increased power genera

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5

Machado da Silva, Jamir, Renan Eduardo da Silva, José Rui Camargo, and Ederaldo Godoy Junior. "Optimization of a Thermoelectric Air Conditioning Systems." Defect and Diffusion Forum 336 (March 2013): 111–20. http://dx.doi.org/10.4028/www.scientific.net/ddf.336.111.

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This paper studies the optimization of a thermoelectric cooling system of air. Based on both results obtained experimentally and from a mathematical model, we evaluated the available features of thermoelectric modules and parameters subject to optimization. In the thermoelectric cooling air process based on the effect discovered by Jean Peltier Charles Athanase in 1834, when an electrical current is conducted through a semiconductor junction between two materials with different properties, heat is absorbed and dissipated. Thermoelectric modules are made of semiconductor materials and sealed be

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6

Misra, Medha, Pawan Singh, and Anil Kumar. "Energy Optimization for Smart Housing Systems." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 1, no. 1 (2020): 1–6. http://dx.doi.org/10.54060/jieee/001.01.005.

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Smart home is an emerging technology which is growing continuously now. It integrates many of the new technologies with the help of home networking for improving human’s quality and standard of living, so there are many projects which are researching in diverse technologies in order to apply them to the smart home system. As the technology evolves it comforts mankind with some additional ease and advancement. At the time the evolution calls upon all the daily routine devices to operate over internet and this project is based on the idea to make these devices accessible to the owner anytime any

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7

Montoya Giraldo, Oscar Danilo. "Solving a Classical Optimization ProblemUsing GAMS Optimizer Package: Economic Dispatch ProblemImplementation." Ingeniería y Ciencia 13, no. 26 (2017): 39–63. http://dx.doi.org/10.17230/ingciencia.13.26.2.

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This paper presents an effectiveness strategy to model and solve nonlinearmathematical optimization problems in electrical engineering using Gene-ral Algebraic Modeling System (GAMS) for undergraduate students. Aclassical problem known as economic dispatch has been selected to showthe need of using mathematical tools to solve a large scale optimizationproblem related with engineering. The economic dispatch is a classical op-timization problem in operation of thermal electric systems, being the mainidea to find an economical operation for thermal generators. This opera-tion is based on a quadra

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Bracco, Stefano, Federico Delfino, Michela Longo, and Silvia Siri. "Electric Vehicles and Storage Systems Integrated within a Sustainable Urban District Fed by Solar Energy." Journal of Advanced Transportation 2019 (December 12, 2019): 1–19. http://dx.doi.org/10.1155/2019/9572746.

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In this paper, an optimization model is defined for the design of a smart energy infrastructure integrating different technologies to satisfy the electrical demand of a given site. The considered smart energy infrastructure includes a photovoltaic plant, electrical storage systems, electric vehicles (EVs), and charging stations. The objective function of the optimization model considers the costs related to the installation and maintenance of the considered technologies, as well as the costs associated with the energy exchanges with the external grid. A very extensive numerical analysis is rep

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9

Safonov, G. P., A. M. Sorokin, A. V. Buldakov, and P. V. Vorob’ev. "The optimization of the production process for electrical insulation systems." Russian Electrical Engineering 78, no. 3 (2007): 167–69. http://dx.doi.org/10.3103/s1068371207030145.

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10

Lei, Gang, Tianshi Wang, Jianguo Zhu, and Youguang Guo. "Robust multiobjective and multidisciplinary design optimization of electrical drive systems." CES Transactions on Electrical Machines and Systems 2, no. 4 (2018): 409–16. http://dx.doi.org/10.30941/cestems.2018.00052.

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11

Kozlov, V. V., and N. I. Speranskaya. "Optimization of operating costs in managing electrical submersible pumping systems." IOP Conference Series: Earth and Environmental Science 87, no. 5 (2017): 052013. http://dx.doi.org/10.1088/1755-1315/87/5/052013.

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12

Serbetli, S., and A. Yener. "Transceiver Optimization forMultiuser MIMO Systems." IEEE Transactions on Signal Processing 52, no. 1 (2004): 214–26. http://dx.doi.org/10.1109/tsp.2003.819988.

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13

Pancera, Elena, Jens Timmermann, Thomas Zwick, and Werner Wiesbeck. "Spectrum optimization in ultra-wideband systems." International Journal of Microwave and Wireless Technologies 2, no. 2 (2010): 203–9. http://dx.doi.org/10.1017/s1759078710000310.

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In this paper the non-ideal and frequency-dependent behavior of the hardware components of the ultra-wideband (UWB) transmitter RF-front end is analyzed. Both digital and analytical methods to compensate for this frequency-dependent behavior are investigated, in order to optimize the radiated wave, so that its spectrum perfectly matches the given mask. An example of spectral system optimization with analog devices is shown and verified through measurement results.

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14

Dong Mei Shan, Zhi Ning Chen, and Xuan Hui Wu. "Signal optimization for UWB radio systems." IEEE Transactions on Antennas and Propagation 53, no. 7 (2005): 2178–84. http://dx.doi.org/10.1109/tap.2005.850755.

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15

Ferreira, Ewerton L., and Leonardo W. de Oliveira. "Distribution Systems Reconfiguration for Voltage Stability Maximization by using Artificial Immune Systems." International Journal of Swarm Intelligence Research 8, no. 2 (2017): 1–16. http://dx.doi.org/10.4018/ijsir.2017040101.

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This paper proposes a methodology for reconfiguration of Electrical Distribution Systems (EDS) to maximize the system voltage stability. The proposed approach is based on the metaheuristic and bioinspired optimization technique called Artificial Immune System (AIS) and stability indexes. The optimization problem presents operational and network constraints, as well as the radial and connected operation and the nodal voltage limits. Comparisons between two indexes are made for evaluate their impact on the reconfiguration problem. Three case studies are presented to assess the proposed approach

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16

RAVADANEGH, SAJAD NAJAFI, ARASH VAHIDNIA, and HOJAT HATAMI. "ON OPTIMAL DESIGN AND EXPANSION OF ELECTRICAL POWER DISTRIBUTION SYSTEMS." Journal of Circuits, Systems and Computers 19, no. 01 (2010): 45–58. http://dx.doi.org/10.1142/s0218126610005962.

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Optimal planning of large-scale distribution networks is a multiobjective combinatorial optimization problem with many complexities. This paper proposes the application of improved genetic algorithm (GA) for the optimal design of large-scale distribution systems in order to provide optimal sizing and locating of the high voltage (HV) substations and medium voltage (MV) feeders routing, using their corresponding fixed and variable costs associated with operational and optimization constraints. The novel approach presented in the paper, solves hard satisfactory optimization problems with differe

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17

Nunez, Angel. "Hybrid systems in electrical distribution design with genetic algorithm." minerva 1, no. 1 (2020): 32–42. http://dx.doi.org/10.47460/minerva.v1i1.4.

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The incorporation of hybrid systems based on renewable sources for the optimization of electricity distribution systems and planning of power supply strategies using genetic algorithms (GA) is studied. A series of characteristics of electrical sub-stations was chosen and through simulations, data were obtained for the optimization of the existing infrastructure, which provides reliability, security, economic supply and quality of service. An algorithm was obtained with the optimal configuration of various components: photovoltaic panels, batteries, AC generator, fuel cell and inverter, which i

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18

Meckler, Milton. "Optimization of Building CHP Systems." Cogeneration & Distributed Generation Journal 18, no. 4 (2003): 34–57. http://dx.doi.org/10.1080/15453660309509028.

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19

Denysiuk, S. "ANALYSIS AND OPTIMIZATION OF ENERGY PROCESSES IN DISPERSED ELECTRICAL POWER SYSTEMS." Tekhnichna Elektrodynamika 2016, no. 4 (2016): 62–64. http://dx.doi.org/10.15407/techned2016.04.062.

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20

Lei, Gang, Tianshi Wang, Youguang Guo, Jianguo Zhu, and Shuhong Wang. "System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach." IEEE Transactions on Industrial Electronics 61, no. 12 (2014): 6591–602. http://dx.doi.org/10.1109/tie.2014.2321338.

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21

Lei, Gang, Tianshi Wang, Jianguo Zhu, Youguang Guo, and Shuhong Wang. "System-Level Design Optimization Method for Electrical Drive Systems—Robust Approach." IEEE Transactions on Industrial Electronics 62, no. 8 (2015): 4702–13. http://dx.doi.org/10.1109/tie.2015.2404305.

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22

Fernandez, R. D., R. J. Mantz, and P. E. Battatotto. "Sliding Mode Control for Efficiency Optimization of Wind Electrical Pumping Systems." Wind Energy 6, no. 2 (2003): 161–78. http://dx.doi.org/10.1002/we.78.

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23

Duque, Felipe G., Leonardo W. de Oliveira, Edimar J. de Oliveira, and André A. Augusto. "State estimator for electrical distribution systems based on an optimization model." Electric Power Systems Research 152 (November 2017): 122–29. http://dx.doi.org/10.1016/j.epsr.2017.07.009.

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24

Morvaj, Boran, Ralph Evins, and Jan Carmeliet. "Optimization framework for distributed energy systems with integrated electrical grid constraints." Applied Energy 171 (June 2016): 296–313. http://dx.doi.org/10.1016/j.apenergy.2016.03.090.

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25

Varanasi, Santhosh Kumar, Chaitanya Manchikatla, Venkata Goutham Polisetty, and Phanindra Jampana. "Sparse optimization for image reconstruction in Electrical Impedance Tomography." IFAC-PapersOnLine 52, no. 1 (2019): 34–39. http://dx.doi.org/10.1016/j.ifacol.2019.06.033.

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26

Chae, Moo Sung, Wentai Liu, and Mohanasankar Sivaprakasam. "Design Optimization for Integrated Neural Recording Systems." IEEE Journal of Solid-State Circuits 43, no. 9 (2008): 1931–39. http://dx.doi.org/10.1109/jssc.2008.2001877.

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27

CHUMAKEVYCH, Viktor. "Structure Optimization of Functionally Sustainable Electromechanical Systems." PRZEGLĄD ELEKTROTECHNICZNY 1, no. 10 (2020): 172–75. http://dx.doi.org/10.15199/48.2020.10.32.

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28

Du, J., and Y. Li. "Optimization of Antenna Configuration for MIMO Systems." IEEE Transactions on Communications 53, no. 9 (2005): 1451–54. http://dx.doi.org/10.1109/tcomm.2005.855002.

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29

Chan, Ricky R., Yonggon Lee, Scott D. Sudhoff, and Edwin L. Zivi. "Evolutionary Optimization of PowerElectronics Based Power Systems." IEEE Transactions on Power Electronics 23, no. 4 (2008): 1907–17. http://dx.doi.org/10.1109/tpel.2008.925197.

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30

Aizenberg, Natalia, and Sergey Perzhabinsky. "Generation adequacy of electric power systems in market price setting." E3S Web of Conferences 114 (2019): 03006. http://dx.doi.org/10.1051/e3sconf/201911403006.

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We propose the new model of generation adequacy optimization. Optimization criterion is a maximum of social welfare. Social welfare consists of profits of generating companies, consumer surplus, costs for development and servicing of electrical grids. In the article we present a review of existed methods of adequacy level management in liberalized electric power systems. Optimization of adequacy level is based on analysis of variants of development of the electric power system. For adequacy analysis of the variants of development we multiple estimate the electricity shortage in random hours of

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31

Conti, S., G. Tina, and C. Ragusa. "Optimal Sizing Procedure for Stand-Alone Photovoltaic Systems by Fuzzy Logic." Journal of Solar Energy Engineering 124, no. 1 (2001): 77–82. http://dx.doi.org/10.1115/1.1433476.

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In this paper, an automatic procedure to perform the optimal sizing of a stand-alone solar electrical system with battery storage is developed by a fuzzy logic based multi-objective optimization approach. The procedure aims at finding the configuration that yields the best compromise for the two considered objectives: the long-term average performance and the overall cost of the generating system. In particular, the objectives of the optimization problem are: the maximization of the Supplied Load Fraction, that is the fraction of the actual electrical load that can be supplied by the system, a

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32

Truong, Binh Duc, Shane Williams, and Shad Roundy. "Experimentally validated model and analytical investigations on power optimization for piezoelectric-based wireless power transfer systems." Journal of Intelligent Material Systems and Structures 30, no. 16 (2019): 2464–77. http://dx.doi.org/10.1177/1045389x19862383.

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This article presents a near-field low-frequency wireless power transfer system utilizing a piezoelectric transducer with magnet tip mass as a receiver. The interaction moment between the uniform B field generated by a Helmholtz coil and the magnet is the means to deliver the electrical energy from the transmitter to an electrical load, which is therefore referred to as magneto-mechano-electric effect. This is the first time a complete equivalent circuit model of such a structure is developed and experimentally verified. Based on the lumped model, various aspects of the power optimization prob

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33

Erol, Halil, and Mahmut Uçman. "Power optimization in partially shaded photovoltaic systems." Tehnički glasnik 12, no. 1 (2018): 34–38. http://dx.doi.org/10.31803/tg-20180201165044.

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The Power-Voltage characteristic of a photovoltaic (PV) array exhibits non-linear behaviour when exposed to uniform solar irradiance. Maximum Power Point (MPP) tracking is challenging due to the varying climatic conditions in a solar PV system. Moreover, the tracking algorithm becomes more complicated due to the presence of multiple peaks in the power voltage characteristics under the condition of partial shading. This research is devoted to the Stochastic Beam Search (SBS) based algorithm and Stochastic Hill Climbing (SHC) for a maximum power point tracking (MPPT) at a partial shading conditi

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34

Lucchini, Francesco, Nicolò Marconato, and Paolo Bettini. "Automatic Optimization of Gas Insulated Components Based on the Streamer Inception Criterion." Electronics 10, no. 18 (2021): 2280. http://dx.doi.org/10.3390/electronics10182280.

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Gas insulated transmission lines (GILs) are used in electrical systems mainly for power transmission and High Voltage substation interconnection. In this paper, we focus on the development of complex numerical tools for the optimization of gas insulated HVDC components by the estimation of realistic electric field distribution and the voltage holding of the designed geometry. In particular, the paper aims at describing the correct modelling approach suitable to study high voltage components in DC, considering the nonlinear behaviour characterizing the electrical conductivity of solid and gas i

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35

Widl, Edmund, Benedikt Leitner, Daniele Basciotti, Sawsan Henein, Tarik Ferhatbegovic, and René Hofmann. "Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation." Energies 13, no. 8 (2020): 1945. http://dx.doi.org/10.3390/en13081945.

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Innovations in today’s energy grids are mainly driven by the need to reduce carbon emissions and the necessary integration of decentralized renewable energy sources. In this context, a transition towards hybrid distribution systems, which effectively couple thermal and electrical networks, promises to exploit hitherto unused synergies for increasing efficiency and flexibility. However, this transition poses practical challenges, starting already in the design phase where established design optimization approaches struggle to capture the technical details of control and operation of such system

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36

Reed, Mark Alan, and Waymond R. Scott. "Coil Optimization Method for Electromagnetic Induction Systems." IEEE Sensors Journal 13, no. 11 (2013): 4506–12. http://dx.doi.org/10.1109/jsen.2013.2270135.

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37

Franklin, Gene F. "Discrete systems: Analysis, control and optimization." Automatica 22, no. 3 (1986): 386–87. http://dx.doi.org/10.1016/0005-1098(86)90040-3.

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38

Dris, Mida, and Benattous Djilani. "Hybrid System Power Generation'wind-photovoltaic' Connected to the Electrical Network 220 kV." International Journal of Applied Power Engineering (IJAPE) 7, no. 1 (2018): 10. http://dx.doi.org/10.11591/ijape.v7.i1.pp10-17.

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Renewable energy have the potential to generate electricity cleanly without pollution and a lesser dependence of resources for this production of electric power by these systems sources such as solar, wind, hydro, geothermal and biomass instead anti-environmental conventional systems such as gas, coal and oil is a remarkable idea but not frequent in Algeria. Our research focuses on the study of a hybrid energy system (Photovoltaic-Wind), connected to the Electrical Network 220 kV and this by tracking the maximum power point (MPPT) for two energy sources. For this, methods based on optimization

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39

Şala, Derda E., Yaser Dalveren, Ali Kara, and Mohammad Derawi. "Design and Optimization of Piezoelectric-Powered Portable UV-LED Water Disinfection System." Applied Sciences 11, no. 7 (2021): 3007. http://dx.doi.org/10.3390/app11073007.

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Due to the environmental pollution threatening human life, clean water accessibility is one of the major global issues. In this context, in literature, there are many portable water disinfection systems utilizing ultraviolet (UV) radiation. UV water disinfection systems employ piezoelectric-based electric power along with UV light-emitting diode (LED) sources. This paper elaborates on the detailed design and parametric optimization of a portable UV disinfection system. The proposed system aims to generate piezoelectric harvesting-based electrical power simply by shaking, and the generated powe

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40

Zubair, Muhammad, and Muhammad Moinuddin. "Joint Optimization of Microstrip Patch Antennas Using Particle Swarm Optimization for UWB Systems." International Journal of Antennas and Propagation 2013 (2013): 1–8. http://dx.doi.org/10.1155/2013/649049.

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Ultra wideband (UWB) systems are the most appropriate for high data rate wireless transmission with low power consumption. However, the antenna design for UWB has been a challenging task. Moreover, it is always desirable to have more freedom by designing different shape antennas with identical characteristics so that they can be used in either transmitter or receiver depending on other physical constraints such as area. To tackle these issues, in this paper, we have investigated a joint optimization of three different shape-printed monopole antennas, namely, printed square monopole antenna, pr

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41

Velez, Carlos, Zhihua Qu, Kuo-Chi Lin, and Shiyuan Jin. "Design, Modeling and Optimization of an Ocean Wave Power Generation Buoy." Marine Technology Society Journal 48, no. 4 (2014): 51–60. http://dx.doi.org/10.4031/mtsj.48.4.6.

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Abstract Ocean waves provide an abundant, clean, and renewable source of energy. Existing systems, typically hydraulic turbines powered by high-pressure fluids, are very large in size and costly. Additionally, they require large ocean waves in which to operate. This paper details the design, development, and laboratory prototype testing of a wave power generation system comprising a buoy that houses a set of mechanical devices and a permanent magnetic generator. The buoy, floating on the surface of the ocean, utilizes the vertical movement of ocean waves to pull on a chain anchored to the ocea

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42

Boettcher, D. B., and E. M. Hickling. "Instrumentation and Control Systems for Sizewell B." Measurement and Control 26, no. 5 (1993): 132–38. http://dx.doi.org/10.1177/002029409302600501.

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Sizewell B is the first nuclear power station to be built in the UK using the pressurized water reactor system. Although the design is based on that of pressurized water reactor stations constructed in the United States, many changes and new features have been introduced to suit British practice and licensing requirements. Among the novel features of Sizewell B are entirely new designs for the man-machine interfaces in the main control and auxiliary shutdown rooms, and for the control and instrumentation systems. These new designs incorporate lessons learned by Nuclear Electric as an electrica

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43

Frangopoulos, Christos A. "Developments, Trends, and Challenges in Optimization of Ship Energy Systems." Applied Sciences 10, no. 13 (2020): 4639. http://dx.doi.org/10.3390/app10134639.

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A review of developments, trends, and challenges in synthesis, design, and operation optimization of ship energy systems is presented in this article. For better understanding of the context of this review, pertinent terms are defined, including the three levels of optimization: synthesis, design, and operation (SDO). The static and dynamic optimization problems are stated mathematically in single- and multiobjective form. The need for intertemporal optimization is highlighted. The developments in ship energy systems optimization throughout the years is clearly presented by means of journal ar

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44

Chicco, Gianfranco, and Andrea Mazza. "Heuristic optimization of electrical energy systems: Refined metrics to compare the solutions." Sustainable Energy, Grids and Networks 17 (March 2019): 100197. http://dx.doi.org/10.1016/j.segan.2019.100197.

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45

S., SAKUNTHALA. "Study on Genetic Algorithm Concepts, Search And Optimization Techniques in Electrical Systems." i-manager’s Journal on Electrical Engineering 10, no. 3 (2017): 43. http://dx.doi.org/10.26634/jee.10.3.13413.

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46

Freschi, Fabio, and Maurizio Repetto. "Comparison of artificial immune systems and genetic algorithms in electrical engineering optimization." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 25, no. 4 (2006): 792–811. http://dx.doi.org/10.1108/03321640610684006.

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47

Göllei, Attila, Péter Görbe, and Attila Magyar. "Modeling and optimization of electrical vehicle batteries in complex clean energy systems." Journal of Cleaner Production 34 (October 2012): 138–45. http://dx.doi.org/10.1016/j.jclepro.2011.12.013.

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48

Orths, A., A. Schmitt, Z. A. Styczynski, and J. Verstege. "Multi-criteria optimization methods for planning and operation of electrical energy systems." Electrical Engineering (Archiv fur Elektrotechnik) 83, no. 5-6 (2001): 251–58. http://dx.doi.org/10.1007/s002020100085.

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49

Zhao, Tian, Yong Min, Qun Chen, and Jun-Hong Hao. "Electrical circuit analogy for analysis and optimization of absorption energy storage systems." Energy 104 (June 2016): 171–83. http://dx.doi.org/10.1016/j.energy.2016.03.120.

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50

Obukhov, S. G., G. N. Klimova, and A. Ibrahim. "Methodology of optimum unit commitment of energy systems with renewable energy sources." Vestnik IGEU, no. 6 (December 28, 2020): 25–38. http://dx.doi.org/10.17588/2072-2672.2020.6.025-038.

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One of the promising ways to improve the reliability and efficiency of power supply for customers in the areas remote from central electrical grid is the use of hybrid power systems with renewable energy sources. The primary task of designing such systems is the unit commitment of the generating equipment that provides the optimal technical and economic indexes of the electric power system. The stochastic nature of generation and nonlinearity of the characteristics of power plants cause a high complexity of solving this problem, which, from a mathematical point of view, is formulated as an opt

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