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Journal articles on the topic 'Power system modeling'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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1

González, Guadalupe G., and Mehrdad Ehsani. "Power-Invariant Magnetic System Modeling." International Journal of Magnetics and Electromagnetism 4, no. 1 (2018): 1–9. http://dx.doi.org/10.35840/2631-5068/6512.

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2

Xie, Heng, and Jie Wang. "ICONE19-43784 A TRANSIENT MODELING OF A HELIUM TURBINE POWER SYSTEM." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2011.19 (2011): _ICONE1943. http://dx.doi.org/10.1299/jsmeicone.2011.19._icone1943_305.

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3

Sun, Tiantian, Shaorun Bian, Yu Sun, Zhenshu Wang, Wenqiao Li, and Fayu Chong. "Technical Support System for Power System Load Modeling." Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) 13, no. 7 (2020): 1059–67. http://dx.doi.org/10.2174/2352096513666200309110756.

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Background: In order to better establish accurate load models and meet the practical demand of current power system load modeling, it is necessary to establish related technical support systems for power system load modeling. Objective: The purpose of the paper was to construct the overall scheme of power system load modeling technology support system and complete the development of the system. Methods: Based on the modular design idea, the system adopts a multi-level architecture combining B/S and C/S modes, covering the key technologies of substation classification based on selforganizing neural network algorithm, load dynamic characteristic classification based on lifting wavelet packet algorithm, load model parameter identification and load modeling based on adaptive interactive multiple model (AIMM) algorithm. Results: After actual operation verification, the built technology support system can well solve the related problems of substation classification, load dynamic characteristic classification, load model parameter identification and load modeling. It has the characteristics of a friendly man-machine interface, simple operation and strong extensibility. Conclusion: The built technology support system provides powerful technical support for improving the load data management level of the power system and establishing an accurate load model, and promotes the practical process of load modeling theory.

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4

Wang, Haosheng, and Hongen Zhong. "Modeling and Simulation of Spacecraft Power System Based on Modelica." E3S Web of Conferences 233 (2021): 04033. http://dx.doi.org/10.1051/e3sconf/202123304033.

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Spacecraft power system simulation involves the coupling of electrical, thermal and control domains. At present, the modeling and simulation of multi-domain physical system mainly uses the single-domain software to establish a single-domain model, and solves the unified multi-domain modeling and simulation through the interface between the software or using HLA. But it cannot fully support the modeling and simulation of multi-domain physical system, and the model has poor reusability and extensibility. As a multi-domain modeling language, Modelica language supports acausal modelling, unified multi-domain modeling, object-oriented physical modeling and hybrid modeling. So it is widely used in the aerospace area. In this paper, Modelica language is used to establish module library of spacecraft power system on simulation platform MWorks, and the multi-domain simulation model of spacecraft power system is obtained by assembling each sub-model, and the performance of the model is simulated and analyzed so as to achieve the purpose of improving and verifying the model.

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5

Kosarev, B. A., and V. K. Fedorov. "Modeling power system with distributed generation." Omsk Scientific Bulletin, no. 167 (2019): 64–71. http://dx.doi.org/10.25206/1813-8225-2019-167-64-71.

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6

Baloch, Taj, Ku KuMamat, and Mas Abd Rahim. "Power system modeling, simulation and analysis." International Conference on Electrical Engineering 6, no. 6 (2008): 1–10. http://dx.doi.org/10.21608/iceeng.2008.34500.

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7

Peterson, J. N., and R. W. Wall. "Interactive relay controlled power system modeling." IEEE Transactions on Power Delivery 6, no. 1 (1991): 96–102. http://dx.doi.org/10.1109/61.103726.

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8

Hiskens, I. A. "Power System Modeling for Inverse Problems." IEEE Transactions on Circuits and Systems I: Regular Papers 51, no. 3 (2004): 539–51. http://dx.doi.org/10.1109/tcsi.2004.823654.

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9

Peterson, J. N., and R. W. Wall. "Interactive Relay Controlled Power System Modeling." IEEE Power Engineering Review 11, no. 1 (1991): 41. http://dx.doi.org/10.1109/mper.1991.88635.

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10

Shi, Weifeng, Tianhao Tang, and Hangying Wei. "Marine Power System Modeling and Simulator." IFAC Proceedings Volumes 36, no. 20 (2003): 491–96. http://dx.doi.org/10.1016/s1474-6670(17)34516-0.

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11

dos Santos, André, and M. T. Correia de Barros. "Stochastic modeling of power system faults." Electric Power Systems Research 126 (September 2015): 29–37. http://dx.doi.org/10.1016/j.epsr.2015.04.015.

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12

K, Anjitha, and B. Kavitha. "Hydraulic Wind Power Transfer System Modeling." International Journal of Engineering Trends and Technology 33, no. 5 (2016): 213–18. http://dx.doi.org/10.14445/22315381/ijett-v33p242.

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13

Baghzouz, Yahia, and Owen T. Tan. "Probabilistic Modeling of Power System Harmonics." IEEE Transactions on Industry Applications IA-23, no. 1 (1987): 173–80. http://dx.doi.org/10.1109/tia.1987.4504883.

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14

Mavromatakis, F., Y. Franghiadakis, and F. Vignola. "Modeling Photovoltaic Power." Engineering, Technology & Applied Science Research 6, no. 5 (2016): 1115–18. http://dx.doi.org/10.48084/etasr.612.

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A robust and reliable model describing the power produced by a photovoltaic system is needed in order to be able to detect module failures, inverter malfunction, shadowing effects and other factors that may result to energy losses. In addition, a reliable model enables an investor to perform accurate estimates of the system energy production, payback times etc. The model utilizes the global irradiance reaching the plane of the photovoltaic modules since in almost all Photovoltaic (PV) facilities the beam and the diffuse solar irradiances are not recorded. The airmass, the angle of incidence and the efficiency drop due to low values of solar irradiance are taken into account. Currently, the model is validated through the use of high quality data available from the National Renewable Energy Laboratory (USA). The data were acquired with IV tracers while the meteorological conditions were also recorded. Several modules of different technologies were deployed but here we present results from a single crystalline module. The performance of the model is acceptable at a level of 5% despite the assumptions made. The dependence of the residuals upon solar irradiance temperature, airmass and angle of incidence is also explored and future work is described.

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15

Mavromatakis, F., Y. Franghiadakis, and F. Vignola. "Modeling Photovoltaic Power." Engineering, Technology & Applied Science Research 6, no. 5 (2016): 1115–18. https://doi.org/10.5281/zenodo.162577.

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A robust and reliable model describing the power produced by a photovoltaic system is needed in order to be able to detect module failures, inverter malfunction, shadowing effects and other factors that may result to energy losses. In addition, a reliable model enables an investor to perform accurate estimates of the system energy production, payback times etc. The model utilizes the global irradiance reaching the plane of the photovoltaic modules since in almost all Photovoltaic (PV) facilities the beam and the diffuse solar irradiances are not recorded. The airmass, the angle of incidence and the efficiency drop due to low values of solar irradiance are taken into account. Currently, the model is validated through the use of high quality data available from the National Renewable Energy Laboratory (USA). The data were acquired with IV tracers while the meteorological conditions were also recorded. Several modules of different technologies were deployed but here we present results from a single crystalline module. The performance of the model is acceptable at a level of 5% despite the assumptions made. The dependence of the residuals upon solar irradiance temperature, airmass and angle of incidence is also explored and future work is described.

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16

Shornikov, Yury, and Evgeny Popov. "Modeling and simulation of transients in electric power systems using hybrid system theory." ITM Web of Conferences 24 (2019): 02012. http://dx.doi.org/10.1051/itmconf/20192402012.

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Transients in electric power systems are of great interest to power engineers when designing a new or maintaining an existing system. The paper deals with using hybrid system theory for modeling and simulation of an electric power system with controllers. The presented technique is rather convenient and recommended as mathematical models of transients in electric power systems with controllers in general contain both continuous and discrete components. The modeling and simulation were carried out in the modeling and simulation environment ISMA, which is briefly presented in the paper.

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17

Jain, Himanshu, Bilal Ahmad Bhatti, Tianying Wu, Barry Mather, and Robert Broadwater. "Integrated Transmission-and-Distribution System Modeling of Power Systems: State-of-the-Art and Future Research Directions." Energies 14, no. 1 (2020): 12. http://dx.doi.org/10.3390/en14010012.

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Integrated transmission-and-distribution (T&D) modeling is a new and developing method for simulating power systems. Interest in integrated T&D modeling is driven by the changes taking place in power systems worldwide that are resulting in more decentralized power systems with increasingly high levels of distributed energy resources. Additionally, the increasing role of the hitherto passive energy consumer in the management and operation of power systems requires more capable and detailed integrated T&D modeling to understand the interactions between T&D systems. Although integrated T&D modeling has not yet found widespread commercial application, its potential for changing the decades-old power system modeling approaches has led to several research efforts in the last few years that tried to (i) develop algorithms and software for steady-state and dynamic modeling of power systems and (ii) demonstrate the advantages of this modeling approach compared with traditional, separated T&D system modeling. In this paper, we provide a review of integrated T&D modeling research efforts and the methods employed for steady-state and dynamic modeling of power systems. We also discuss our current research in integrated T&D modeling and the potential directions for future research. This paper should be useful for power systems researchers and industry members because it will provide them with a critical summary of current research efforts and the potential topics where research efforts are needed to further advance and demonstrate the utility of integrated T&D modeling.

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18

Perez, L. G., A. J. Flechsig, and V. Venkatasubramanian. "Modeling the protective system for power system dynamic analysis." IEEE Transactions on Power Systems 9, no. 4 (1994): 1963–73. http://dx.doi.org/10.1109/59.331457.

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19

Manusmare, Pratik V., Prof Umesh G. Bonde, and Prof Divya A. Bawane. "Modeling of Hybrid Renewable Energy System." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 1226–31. http://dx.doi.org/10.22214/ijraset.2023.49639.

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Abstract: Wind power generation (VAWT) and solar power (PV) generation are combined to make a Modeling Of hybrid Renewable Energy Systems. A On Grid and 24v, 100Ah lead-acid battery is used to store solar power and charging is controlled by a charger circuit which has been discussed here. Power output of this hybrid system is depends on wind flow and power generated by solar cells. Today, the world is progressing at quit fast rate with the use of conventional source of energy. Now a day’s electricity is most needed facility for the human being. All the conventional energy resources are depleting day by day and having disadvantages of using them are environmental pollution created by its use. So we have to shift from conventional to non-conventional energy resources. Many types of clean and renewable energy sources can be used in production of electrical energy. In this project the combination of two energy resources is takes place i.e. wind and solar energy. This process reviles the sustainable energy resources without damaging the nature. We can give uninterrupted power by using hybrid energy system. Basically this system involves the integration of two energy system that will give continuous power. Solar panels are used for converting solar energy into electricity and wind turbines are used for converting wind energy into electricity. This electrical power can utilize for various purpose. Generation of electricity will be takes place at affordable cost. This project deals with the generation of electricity by using two sources combine which leads to generate electricity with affordable cost without damaging the nature balance.

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20

Kim, Youngmin, Kyung-Won Jeon, and Sang-Yong Jung. "Power Management System Simulator Modeling and Characteristics Analysis for Electric Propulsion Ship." Transactions of The Korean Institute of Electrical Engineers 64, no. 6 (2015): 878–84. http://dx.doi.org/10.5370/kiee.2015.64.6.878.

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21

Scott, Timothy C., and Jason Uphold. "Thermal Modeling of Power Steering System Performance." SAE International Journal of Passenger Cars - Mechanical Systems 1, no. 1 (2008): 1039–44. http://dx.doi.org/10.4271/2008-01-1432.

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22

Yao, Ming, Jing Zhong Xu, and Lin Jian Huang. "Software Modeling of Power Quality Monitoring System." Advanced Materials Research 457-458 (January 2012): 427–30. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.427.

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This paper is mainly about power quality monitoring system analysis method, designs and implements the system based on object-oriented UML platform. Combined with UML modeling language CASE tool rational Rose, and further analysis, finally realize the power quality monitoring system.

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23

Varma, Ankush, Bruce Jacob, Eric Debes, Igor Kozintsev, and Paul Klein. "Accurate and fast system-level power modeling." ACM Transactions on Embedded Computing Systems 6, no. 4 (2007): 26. http://dx.doi.org/10.1145/1274858.1274864.

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24

Yao, Ming, Jing Zhong Xu, and Lin Jian Huang. "Software Modeling of Power Quality Monitoring System." Advanced Materials Research 457-458 (January 2012): 427–30. http://dx.doi.org/10.4028/scientific5/amr.457-458.427.

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25

Fish, S., T. Savoie, and H. Vanicek. "Modeling hybrid electric HMMWV power system performance." IEEE Transactions on Magnetics 37, no. 1 (2001): 480–84. http://dx.doi.org/10.1109/20.911882.

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26

Varma, Ankush, Eric Debes, Igor Kozintsev, Paul Klein, and Bruce Jacob. "Accurate and fast system-level power modeling." ACM Transactions on Embedded Computing Systems 7, no. 3 (2008): 1–20. http://dx.doi.org/10.1145/1347375.1347378.

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27

Sanchez, R., X. Guillaud, and G. Dauphin-Tanguy. "Hybrid electrical power system modeling and management." Simulation Modelling Practice and Theory 25 (June 2012): 190–205. http://dx.doi.org/10.1016/j.simpat.2011.08.006.

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28

Gaouda, A. M. "Power system disturbance modeling under deregulated environment." Journal of the Franklin Institute 344, no. 5 (2007): 507–19. http://dx.doi.org/10.1016/j.jfranklin.2006.02.008.

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29

Tomiyama, Katsuyuki. "Modeling Load Dynamics for Power System Analysis." IEEJ Transactions on Power and Energy 119, no. 6 (1999): 697–703. http://dx.doi.org/10.1541/ieejpes1990.119.6_697.

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30

Kong, Fan Nie. "Modeling Hydraulic Power System with Surge Tank." Applied Mechanics and Materials 571-572 (June 2014): 934–39. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.934.

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Based on actual hydraulic structure, the linear and nonlinear hydro power system model with surge tank was established for the first time. The simulation results of model demonstrate that the linear model with surge tank and that of individual penstock exists essential difference. The step response of individual penstock model is monotonic rising up to stable state, but that of model with surge tank is vibrating badly. The nonlinear model with surge tank is dynamic stable.

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31

Levi, V. A., J. M. Nahman, and D. P. Nedic. "Security modeling for power system reliability evaluation." IEEE Transactions on Power Systems 16, no. 1 (2001): 29–37. http://dx.doi.org/10.1109/59.910778.

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32

Ju, Ping, Chuan Qin, Feng Wu, Huiling Xie, and Yan Ning. "Load modeling for wide area power system." International Journal of Electrical Power & Energy Systems 33, no. 4 (2011): 909–17. http://dx.doi.org/10.1016/j.ijepes.2010.12.030.

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33

Song, Hui, Eun-Sung Gil, Kwan-Ho Chun, and Sang-Ho Park. "Modeling and Optimization of Active Power Filter Based on a Switched Linear System." Journal of Clean Energy Technologies 5, no. 6 (2017): 443–47. http://dx.doi.org/10.18178/jocet.2017.5.6.413.

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34

Barsali, Stefano, Antonio De Marco, Giorgio Maria Giannuzzi, Franco Mazzoldi, Andrea Possenti, and Roberto Zaottini. "Modeling Combined Cycle Power Plants for Power System Restoration Studies." IEEE Transactions on Energy Conversion 27, no. 2 (2012): 340–50. http://dx.doi.org/10.1109/tec.2012.2188406.

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35

Li, Shengqiang, Xiaodong Liang, and Wilsun Xu. "Modeling DC Motor Drive Systems in Power System Dynamic Studies." IEEE Transactions on Industry Applications 51, no. 1 (2015): 658–68. http://dx.doi.org/10.1109/tia.2014.2336972.

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36

Hongrae Kim and A. Abur. "Enhancement of external system modeling for state estimation [power systems]." IEEE Transactions on Power Systems 11, no. 3 (1996): 1380–86. http://dx.doi.org/10.1109/59.535678.

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37

Ye, Wang. "Strategic Research on China Domestic Power System Modeling." Open Electrical & Electronic Engineering Journal 9, no. 1 (2015): 175–78. http://dx.doi.org/10.2174/1874129001509010175.

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Power system modeling is a software management tool for managing electricity demand, power system trading electricity and power system generation expansion planning purposes, through the combination of various models and their comparison, which can be used by the Government for its policy support and by the power enterprises for their business development planning decision support, and ensure that power enterprises can provide sufficient and safe quality power supplies at the lowest economic and environmental costs. Based on the study of existing power system models of advanced western countries as well as the current domestic power system modeling status, this article puts forward some proposals and ideas on building domestic power system models.

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38

Nourizadeh, Saber, Vahid Yari, and Ali Mohammad Ranjbar. "Frequency Monitoring and Control during Power System Restoration Based on Wide Area Measurement System." Mathematical Problems in Engineering 2011 (2011): 1–13. http://dx.doi.org/10.1155/2011/489841.

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Frequency control during power system restoration has not been strongly addressed. Operators are often concerned with the offline sizing of load and generation steps, but, nowadays, the introduction of Wide Area Measurement System (WAMS) makes it possible to monitor the stability of power system online. The constraints of WAMS operation result in some changes in power system frequency control. This paper proposes a novel methodology for frequency control and monitoring during the early steps of power system restoration based on WAMS. Detailed load modeling is achieved based on the static load modeling approach. Power generators' modeling is also accomplished utilizing the single machine equivalent of the power system based on PMU measurements. Simulation results of the presented methodology on the 39 bus New England power system clearly show the effectiveness and applicability of the proposed method. The simulation results show that the presented approach has a completely acceptable precision and an outstanding speed with less than 0.05% error. The outstanding speed of the presented approach along with the result precision will result in a great promotion in power system restoration methodologies.

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39

Bhupendra, Pratap, and Chand Tara. "Modeling and Simulation of a Grid Connected Solar PV System." Journal of Recent Trends in Electrical Power System 7, no. 3 (2024): 29–41. https://doi.org/10.5281/zenodo.12634036.

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<em>A small scale three-phase grid connected system for household enterprises described in this research paper. A 40kWp PV array, a DC-DC boost converter with MPPT controller, and a DC-AC inverter with decoupled power controller supplying the load and connected to the local grid are all part of the proposed system. The MPPT controller harvests the maximum power from the solar PV arrays, while the decoupled power controller tracks the true and reactive powers (P & Q) and increases system stability. The proposed model is simulated to demonstrate the efficiency of grid-connected PV systems in northern region of India.</em>

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40

Wen, J. Y., L. Jiang, Q. H. Wu, and S. J. Cheng. "Power system load modeling by learning based on system measurements." IEEE Transactions on Power Delivery 18, no. 2 (2003): 364–71. http://dx.doi.org/10.1109/tpwrd.2003.809730.

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41

Chattopadhyay, D. "Application of general algebraic modeling system to power system optimization." IEEE Transactions on Power Systems 14, no. 1 (1999): 15–22. http://dx.doi.org/10.1109/59.744462.

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42

Calero, Ivan, Claudio A. Canizares, and Kankar Bhattacharya. "Compressed Air Energy Storage System Modeling for Power System Studies." IEEE Transactions on Power Systems 34, no. 5 (2019): 3359–71. http://dx.doi.org/10.1109/tpwrs.2019.2901705.

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43

Luta, Doudou Nanitamo, and Atanda K. Raji. "A SysML based hybrib photovoltaic-wind power system model." Journal of Energy Technology Research 1, no. 2 (2017): 1. http://dx.doi.org/10.22496/jetr.v1i2.75.

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This paper presents a model of hybrid photovoltaic-wind power system based on SysML (System Modeling Language) which is a modeling language in supports to Model Based Systems Engineering (MBSE) practices. MBSE refers to a formalized procedure of systems development through the application of modeling principles, methods, languages and tools to the complete lifetime of a system. Broadly speaking, the modeling of power systems is performed using software such as Matlab/Simulink, DigSilent, PowerWorld, ETAP, etc. These tools allow modeling considering a particular point of view depending on the objective that is to be assessed. SysML offers different aspects ranging from specifications and requirements, structure and behavior. This study focuses more specifically on the structural and behavioral modeling of hybrid photovoltaic-wind system; the main objective is to demonstrate the use of SysML in power systems’ modeling by developing models capturing the system’s major requirements, the structure and connection between entities, the interaction between stakeholders and the system itself and lastly, the system’s behavior in terms of transition between states.

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44

Nayeripour, M., and M. Hoseintabar. "Modeling and Control of an Autonomous Hybrid Power Generation System for Stand-Alone Application." International Journal of Engineering and Technology 4, no. 3 (2012): 265–69. http://dx.doi.org/10.7763/ijet.2012.v4.362.

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45

Tekwani, A. P. N., and B. G. N. Khanduja. "Modeling, Controller Design and Simulation of Power System Friendly Power Supply." Renewable Energy and Power Quality Journal 1, no. 8 (2010): 90–95. http://dx.doi.org/10.24084/repqj08.233.

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46

Soetedjo, Aryuanto, Abraham Lomi, Yusuf Ismail Nakhoda, and Awan Uji Krismanto. "Modeling of Maximum Power Point Tracking Controller for Solar Power System." TELKOMNIKA (Telecommunication Computing Electronics and Control) 10, no. 3 (2012): 419. http://dx.doi.org/10.12928/telkomnika.v10i3.819.

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47

Göransson, Lisa, and Filip Johnsson. "Dispatch modeling of a regional power generation system – Integrating wind power." Renewable Energy 34, no. 4 (2009): 1040–49. http://dx.doi.org/10.1016/j.renene.2008.08.002.

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48

Khatri, Megha, Atul Kumar, and U. K. Choudhary. "Mathematical Modeling of Unified Power Quality Conditioner for Distribution Power System." International Journal of Advance Research and Innovation 5, no. 4 (2017): 43–46. http://dx.doi.org/10.51976/ijari.541707.

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This paper deals with the structure of unified power quality conditioner (UPQC), which is used to eliminate power quality problems such as supply voltage and current harmonics, compensate reactive power, voltage sag/swell compensation on distribution system. The performance of the inverters depends on the control strategy used to generate reference signals for its operation. The mathematical analysis of UPQC is done to see its characteristic performance in the distribution system. This analysis is very useful for the selection of device rating and placement based on its particular application area in the power system.

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49

Fujita, Hirofumi, and Yasuharu Ohsawa. "Modeling of Power System Dynamics Using Neural Network." IEEJ Transactions on Electronics, Information and Systems 117, no. 11 (1997): 1657–63. http://dx.doi.org/10.1541/ieejeiss1987.117.11_1657.

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50

van der Walt, T. N., and C. C. van Waveren. "Planning power system outages with decision analysis modeling." SAIEE Africa Research Journal 96, no. 3 (2005): 172–77. http://dx.doi.org/10.23919/saiee.2005.9488043.

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