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Journal articles on the topic 'Complex power systems'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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1

Tarasov, V. A., A. B. Petrochenkov, and B. V. Kavalerov. "Simulation of Complex Electric Power Systems." Russian Electrical Engineering 89, no. 11 (November 2018): 664–69. http://dx.doi.org/10.3103/s1068371218110123.

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2

Lima, L. T. G., N. Martins, and H. J. C. P. Pinto. "Mixed real/complex factorization (power systems)." IEEE Transactions on Power Systems 8, no. 1 (1993): 302–8. http://dx.doi.org/10.1109/59.221227.

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3

Lopes, António, and J. Machado. "Power Law Behaviour in Complex Systems." Entropy 20, no. 9 (September 5, 2018): 671. http://dx.doi.org/10.3390/e20090671.

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4

Palensky, Peter, Arjen van der Meer, Claudio Lopez, Arun Joseph, and Kaikai Pan. "Applied Cosimulation of Intelligent Power Systems: Implementing Hybrid Simulators for Complex Power Systems." IEEE Industrial Electronics Magazine 11, no. 2 (June 2017): 6–21. http://dx.doi.org/10.1109/mie.2017.2671198.

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5

Solopov, R. V. "Criterion complex optimization in electric-power systems." Russian Electrical Engineering 88, no. 5 (May 2017): 280–84. http://dx.doi.org/10.3103/s1068371217050133.

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6

Pau, Marco, and Paolo Attilio Pegoraro. "Monitoring and Automation of Complex Power Systems." Energies 15, no. 8 (April 18, 2022): 2949. http://dx.doi.org/10.3390/en15082949.

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7

Soares, João, Fernando Lezama, Tiago Pinto, and Hugo Morais. "Complex Optimization and Simulation in Power Systems." Complexity 2018 (October 14, 2018): 1–3. http://dx.doi.org/10.1155/2018/6562876.

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8

Gramatikov, Pavlin, Roumen Nedkov, and Doino Petkov. "Secondary power systems for videometric complex "Fregat"." Aerospace Research in Bulgaria 30 (2018): 134–42. http://dx.doi.org/10.3897/arb.v30.e11.

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The power supply for the video-spectrometric complex (VSC) "Fregat" is being considered. This secondary power supply systems have the following functions: Reception and switching of the voltages; Protection from overload and short circuit in the internal circuits and the exit circuits; Transformation of primary voltage in stabilized secondary voltages; Galvanically untethered secondary circuits by primary and Hull; Protection of the users from the electromagnetic noises; Provision of "Cold" and "Hot" reserve, etc. A set of technical documentation and test-measuring equipment for testing were created. Four sets of Secondary Power Systems for "Fregat" are designed and implemented for two flights to planet Mars.

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9

He, X. Z. "Mathematical modelling of complex power electronic systems." Mathematical and Computer Modelling 12, no. 7 (1989): 871–89. http://dx.doi.org/10.1016/0895-7177(89)90142-8.

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10

Bacha, Seddik, Hong Li, and Davis Montenegro-Martinez. "Complex Power Electronics Systems Modeling and Analysis." IEEE Transactions on Industrial Electronics 66, no. 8 (August 2019): 6412–15. http://dx.doi.org/10.1109/tie.2019.2901189.

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11

Lopes, António M., and José A. Tenreiro Machado. "Symmetry in Complex Systems." Symmetry 12, no. 6 (June 8, 2020): 982. http://dx.doi.org/10.3390/sym12060982.

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Complex systems with symmetry arise in many fields, at various length scales, including financial markets, social, transportation, telecommunication and power grid networks, world and country economies, ecosystems, molecular dynamics, immunology, living organisms, computational systems, and celestial and continuum mechanics [...]

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12

Roychoudhury, Indranil, Matthew Daigle, Gautam Biswas, Xenofon Koutsoukos, Ann Patterson-Hine, and Scott Poll. "Comprehensive Diagnosis of Complex Electrical Power Distribution Systems." IFAC Proceedings Volumes 42, no. 8 (2009): 722–27. http://dx.doi.org/10.3182/20090630-4-es-2003.00120.

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13

WANG, C., and Y. ZHANG. "Fault Correspondence Analysis in Complex Electric Power Systems." Advances in Electrical and Computer Engineering 15, no. 1 (2015): 11–16. http://dx.doi.org/10.4316/aece.2015.01002.

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14

Barova, Valentina G., Sergey G. Zakharenko, Sergey A. Zakharov, Victor A. Brodt, and Roman S. Vershinin. "Automated dispatch control systems in electric power complex." Mining equipment and electromechanics, no. 4 (2018): 46–52. http://dx.doi.org/10.26730/1816-4528-2018-4-46-52.

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15

Xu, Hongan, and Wen L. Li. "Vibrations, energies, and power flows in complex systems." Journal of the Acoustical Society of America 128, no. 4 (October 2010): 2316. http://dx.doi.org/10.1121/1.3508158.

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16

Alexandru, Adriana, and Adela Buzuloiu. "Supervision and Diagnosis of Complex PV Power Systems." IFAC Proceedings Volumes 34, no. 8 (July 2001): 165–69. http://dx.doi.org/10.1016/s1474-6670(17)40812-3.

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17

Carreras, B. A., V. E. Lynch, I. Dobson, and D. E. Newman. "Complex dynamics of blackouts in power transmission systems." Chaos: An Interdisciplinary Journal of Nonlinear Science 14, no. 3 (September 2004): 643–52. http://dx.doi.org/10.1063/1.1781391.

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18

Riser, Roman, Vladimir Al Osipov, and Eugene Kanzieper. "Nonperturbative theory of power spectrum in complex systems." Annals of Physics 413 (February 2020): 168065. http://dx.doi.org/10.1016/j.aop.2019.168065.

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19

Denysov, Viktor, and Vitalii Babak. "Software and information simulation complex of multi-node integrated and autonomous power and heat supply systems." System Research in Energy 2023, no. 3 (August 25, 2023): 50–63. http://dx.doi.org/10.15407/srenergy2023.03.050.

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A software and information complex for modeling multi-node integrated and autonomous power and heat supply systems is proposed. The main difference of the proposed software and information complex is the possibility of a detailed consideration of the influence of economic and technological parameters contained in the power system of individual power units and nodes. These parameters can be presented both in the form of matrices on the sheets of the software and information complex, and in the form of separate attached files available for automated input by the software and information complex. The main advantages of the complex, which distinguish it from the known ones, include versatility, which makes it possible to study various models of energy systems in a short time. This versatility is ensured by the fact that the complex is developed using a combination of standard Microsoft Excel software and SolverStudio – an add-in for Excel 2007 and later versions on Windows, which allows you to explore a variety of optimization models using a large list of optimization modeling languages. With the SolverStudio add-in in the information package, the user can develop, edit, save, and debug an optimization model in an Excel workbook. The connection of source data, sets, parameters, constants and variables used in the model is conveniently organized. After editing the parameters and source data, the model is launched. Simulation results can be displayed both on model sheets and displayed as separate files. Another advantage of the software and information complex is the ability to conveniently compare many models, due to the fact that each of the worksheets can have its own model. The developed software and information complex makes it possible to calculate in detail the energy, technological and economic indicators of the optimal use of power system components, to determine the permissible limits of the operating parameters of power units of autonomous and integrated power systems. The results of these calculations make it possible to select appropriate measures for the future renewal of technologies for the production of electric and thermal energy. The ease of use and editing of both individual parameters and program texts used in modeling the development of power systems improves the quality of the resulting development scenarios. The proposed software and information complex can be used to study the prospects for short-term and long-term development of Ukraine, as well as the energy system integrated with the power systems of neighboring ENTSO-E member countries, which is relevant in these conditions. Keywords: software, information, complex, multi-node, integrated, autonomous, power, systems.

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20

Shevtsova, Olga. "Structural features of complex hydrochemical systems." E3S Web of Conferences 127 (2019): 02029. http://dx.doi.org/10.1051/e3sconf/201912702029.

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The set of non-conservative hydrochemical parameters is considered as a complex system, which displays collective behavior. It is found that the collective behavior is described by the power relation between the time variability (the standard deviations) and the average concentrations of different hydrochemical parameters in the scale range 100 – 0:0001 mg/kg. The exponent can be 0:7 – 0:9. Power law scaling is the mathematical expression of self similarity and fractality. The complex systems of nonconservative chemical parameters have a structure that can be characterized by exponent, normalization coefficient, standard error, correlation coefficient, and by sharp deviations of the individual parameters from the regression line and from the most probable average and standard deviation values, if any. It is shown with specific examples that changes in the hydrochemical systems structure are the result of the manifestation of biogeochemical processes and the dynamics of water. Regression analysis of collective behavior of complex hydrochemical systems is one of the examples of the use of modern information technologies based on the methods of system analysis.

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21

Ledukhovsky, G. V., V. P. Zhukov, and E. V. Barochkin. "Regularization of physical gas flows in complex power systems." Vestnik IGEU, no. 6 (2016): 5–15. http://dx.doi.org/10.17588/2072-2672.2016.6.005-015.

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22

ZHANG, Y., Z. WANG, J. ZHANG, and J. MA. "PCA Fault Feature Extraction in Complex Electric Power Systems." Advances in Electrical and Computer Engineering 10, no. 3 (2010): 102–7. http://dx.doi.org/10.4316/aece.2010.03017.

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23

Draganov, B., and A. Mishenko. "Exergy and economic optimization of complex power supply systems." Energy and automation, no. 5(51) (October 28, 2020): 5–14. http://dx.doi.org/10.31548/energiya2020.05.005.

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The optimization of energy supply system becomes especially important problem in those cases where there are several different energy sources, including, e.g., renewable energy sources, and several energy sinks of different power. This problems can be solved with the use of a graph of exergy and economic expenditures for the pairwise interaction of flows. The purpose of the study is to specify the concept of exergy schedule and economic costs applied to energy supply systems (ESS). We shall interpret a graph of the exergy and economic expenditures of an ESS, having an arbitrary structure, as a bipartite graph Z such that the set of its nodes C corresponds to the heating H and heated C flows, and the set of its arcs D to a possible distribution of the exergy and economic expenditures in the corresponding elements of this ESS in the course of interaction between the heating and heated flows. A symmetric graph represents an oriented graph, whose arcs can be grouped into pairs of parallel but oppositely directed arcs. Such graphs, having no isolated nodes, are convenient for studying complex interrelated systems. If we have determined the optimal pair of elements (аі, aj), corresponding to the sequence of nodes, beginning from the root of the foretree and finishing by a suspended node, giving a matrix of unit dimension, then the obtained sequence of elements forms a single-contour system with the minimum level of exergy and economic expenditure. For finding the optimal solution it is advisable to use the method of branches and boundaries, which enables one to improve the solution simpler than with the application of different methods of exergy analysis.

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24

Molodtsov, Viktor, and Mihail Molodtsov. "Equivalenting of complex electric networks of power supply systems." Известия высших учебных заведений. Электромеханика, no. 6 (2014): 61–66. http://dx.doi.org/10.17213/0136-3360-2014-6-61-66.

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25

Vysotskii, V. E., D. S. Nazarenko, V. D. Privalov, and A. S. Gurtov. "Simulative complex for the studying autonomous power-supply systems." Russian Electrical Engineering 79, no. 8 (August 2008): 411–14. http://dx.doi.org/10.3103/s1068371208080014.

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26

Katagiri, Fumiaki. "Attacking Complex Problems with the Power of Systems Biology." Plant Physiology 132, no. 2 (June 2003): 417–19. http://dx.doi.org/10.1104/pp.103.021774.

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27

Raximovich, Allaev Kaxramon, and Makhmudov Tokhir Farkhadovich. "Analysis of Small Oscillations in Complex Electric Power Systems." Engineering 10, no. 05 (2018): 253–61. http://dx.doi.org/10.4236/eng.2018.105017.

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28

Burkhardt, John, and Richard Weaver. "Power transmission variance predictions in complex systems with dissipation." Journal of the Acoustical Society of America 97, no. 5 (May 1995): 3360. http://dx.doi.org/10.1121/1.412710.

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29

Saleh, Mahmoud, Yusef Esa, and Ahmed Mohamed. "Applications of Complex Network Analysis in Electric Power Systems." Energies 11, no. 6 (May 29, 2018): 1381. http://dx.doi.org/10.3390/en11061381.

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30

Heuermann, Oliver, Alexander Fleischer, and Wolfgang Fengler. "Discrete Event Simulation for Complex High-Power Medical Systems." IEEE Transactions on Plasma Science 40, no. 7 (July 2012): 1854–59. http://dx.doi.org/10.1109/tps.2012.2195684.

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31

Lysikov, B. V., V. V. Kondratyev, M. N. Mikhailov, V. P. Potapova, and S. G. Ukharov. "Development of complex systems for automating nuclear power facilities." Atomic Energy 113, no. 1 (October 18, 2012): 11–16. http://dx.doi.org/10.1007/s10512-012-9588-4.

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32

Chernyi, Sergei, and Anton Zhilenkov. "Modeling of Complex Structures for the Ship's Power Complex Using Xilinx System." Transport and Telecommunication Journal 16, no. 1 (February 28, 2015): 73–82. http://dx.doi.org/10.1515/ttj-2015-0008.

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Abstract One of the most essential tasks for a number of systems of the automatic controls in the autonomous electric power systems of the water transport is accurate calculation of variable harmonic components in the non-sinusoidal signal. In the autonomous electric power systems operating with full semiconductor capacity, the forms of line currents and voltages are greatly distorted, and generator devices generate voltage with inconsistent frequency, phase and amplitude. It makes calculation of harmonic composition of the distorted signals be a non-trivial task. The present paper provides a mathematical set for solution of the outlined problem including the realization in the discrete form. The simplicity and efficiency of the system proposed make possible to perform its practical realization with the help of cheap FPGA. The test of the developed system has been performed in the medium Matlab.

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33

Zhou, Xue Song, Xin Fang Liu, and You Jie Ma. "Research Summary of Chaos in Power Systems." Applied Mechanics and Materials 182-183 (June 2012): 1796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1796.

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It has been found that there is a very complex and chaotic phenomena in the power system and other nonlinear system. Chaos is a very complex phenomenon caused by the interaction of the parameters in nonlinear systems, its appearance will accompany the non-periodic、seems to be without rules、sudden or paroxysmal mechanical and electrical oscillation of the system, which will cause widespread blackout and disintegration of the system when the oscillation becomes serious. Therefore, due to the wind power system is a typical large-scale complex non-linear system, so that chaotic phenomena will also occur under certain conditions and chaos will influence the stable operation of the wind power system, so the chaotic research are particularly important along with the fast development of grid-connected wind power technology.

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34

Tarana Veliyeva, Tarana Veliyeva. "STUDY OF STATIC STABILITY OF COMPLEX ELECTRICAL SYSTEMS." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 31, no. 08 (May 23, 2023): 218–25. http://dx.doi.org/10.36962/pahtei31082023-218.

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An analysis of the currently used algorithms and programs for assessing the static stability reserve of electric power systems (EPS) is carried out, which make it possible to build the boundaries of stability and calculate the sensitivity coefficient of all generators of the power system, which speeds up the process of selecting the settings of automatic excitation regulators (AER) and increases the visibility of the calculation results. On the example of the well-known in the theory of automatic regulation "Butterworth's rule", a qualitative analysis of the transient process in the control system in the presence of optimal stochastic AER is given and it is proved that the method of synthesis of optimal stochastic systems allows, under conditions of real limitations, to more accurately and qualitatively build regulators that provide the necessary stabilization accuracy. Keywords: static stability, electric power system, transient process, vibrational stability, constant voltage, aperiodic stability, automatic excitation regulator.

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35

Kalimoldayev, M., M. Jenaliyev, A. Abdildayeva, T. Zhukabayeva, and M. Akhmetzhanov. "OPTIMAL CONTROL OF POWER SYSTEMS." PHYSICO-MATHEMATICAL SERIES 5, no. 333 (October 15, 2020): 86–94. http://dx.doi.org/10.32014/2020.2518-1726.86.

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This article discusses the study of problems of optimal control for electric power systems. The numerical solution of optimal control problems for complex electric power systems using an iterative algorithm is shown. Also considered are issues of solving the optimal control of a nonlinear system of ordinary differential equations in two different cases. The proposed solution methods follow the principle of continuation of extremal problems based on sufficient conditions for optimality of V. F. Krotov. A special case of optimal control problems is considered. Numerical experiments showed sufficient efficiency of the implemented algorithms. The problem of optimal motion control of a two-system electric power system is graphically illustrated in the proposed numerical example.

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36

Gao, Fang, and Guojian Wu. "Application of Quantum Computing in Power Systems." Energies 16, no. 5 (February 25, 2023): 2240. http://dx.doi.org/10.3390/en16052240.

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37

Chen, Xin, Tong Huang, and Donghui Zhang. "Modeling, Control and Stability Analysis of Power Systems Dominated by Power Electronics." Energies 15, no. 16 (August 20, 2022): 6041. http://dx.doi.org/10.3390/en15166041.

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With the growth of economic and social demand for electricity, the power system has gradually evolved into a complex network containing a high proportion of renewable generators and large-scale electrical devices [...]

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38

Nam, Soon-Ryul, Dong-Gyu Lee, Sang-Hee Kang, Seon-Ju Ahn, and Joon-Ho Choi. "Fundamental Frequency Estimation in Power Systems Using Complex Prony Analysis." Journal of Electrical Engineering and Technology 6, no. 2 (March 1, 2011): 154–60. http://dx.doi.org/10.5370/jeet.2011.6.2.154.

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39

Guo, Cheng, and Delin Wang. "Frequency Regulation and Coordinated Control for Complex Wind Power Systems." Complexity 2019 (May 16, 2019): 1–12. http://dx.doi.org/10.1155/2019/8525397.

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With the development of complex renewable energy systems, the frequency control and regulation of the power grid powered by such renewable energies (e.g., wind turbine) are more critical, since the adopted different power generators can lead to frequency variations. To address the frequency regulation of such power grids, we will present a variable coefficient coordinated primary frequency regulation scheme for synchronous generator (SG) and doubly fed induction generator (DFIG). The variable adjustment coefficient of DFIG is defined according to the current reserve capacity, which can be applied to adjust different operation conditions to regulate the frequency variation within a predefined allowable range. Since the DFIG can make full use of the reserve wind power in the system frequency regulation, the proposed method can address both the frequency regulation response and the economic performance. Simulation results indicate that the proposed coordinated control scheme can achieve satisfactory frequency regulation response and lead to reduced demand for frequency regulation of SG.

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40

Krumm, L., Ü. Kurrel, A. Tauts, O. Terno, I. Zeidmanis, and Z. Krišans. "Power Systems Control Complex Optimization in the New Market Conditions." IFAC Proceedings Volumes 33, no. 5 (April 2000): 389–94. http://dx.doi.org/10.1016/s1474-6670(17)40988-8.

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41

Chan, K. W., R. W. Dunn, and A. R. Daniels. "On-line stability constraint assessment for large complex power systems." Electric Power Systems Research 46, no. 3 (September 1998): 169–76. http://dx.doi.org/10.1016/s0378-7796(98)00006-6.

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42

Xia, Yili, Zoran Blazic, and Danilo P. Mandic. "Complex-Valued Least Squares Frequency Estimation for Unbalanced Power Systems." IEEE Transactions on Instrumentation and Measurement 64, no. 3 (March 2015): 638–48. http://dx.doi.org/10.1109/tim.2014.2351291.

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43

XIONG, Y. P., J. T. XING, and W. G. PRICE. "POWER FLOW ANALYSIS OF COMPLEX COUPLED SYSTEMS BY PROGRESSIVE APPROACHES." Journal of Sound and Vibration 239, no. 2 (January 2001): 275–95. http://dx.doi.org/10.1006/jsvi.2000.3159.

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44

Al-Hussein, Abdul-Basset. "Chaos Phenomenon in Power Systems: A Review." Iraqi Journal for Electrical and Electronic Engineering 17, no. 2 (November 2, 2021): 219–25. http://dx.doi.org/10.37917/ijeee.17.2.25.

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This review article puts forward the phenomena of chaotic oscillation in electrical power systems. The aim is to present some short summaries written by distinguished researchers in the field of chaotic oscillation in power systems. The reviewed papers are classified according to the phenomena that cause the chaotic oscillations in electrical power systems. Modern electrical power systems are evolving day by day from small networks toward large-scale grids. Electrical power systems are constituted of multiple inter-linked together elements, such as synchronous generators, transformers, transmission lines, linear and nonlinear loads, and many other devices. Most of these components are inherently nonlinear in nature rendering the whole electrical power system as a complex nonlinear network. Nonlinear systems can evolve very complex dynamics such as static and dynamic bifurcations and may also behave chaotically. Chaos in electrical power systems is very unwanted as it can drive system bus voltage to instability and can lead to voltage collapse and ultimately cause a general blackout.

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45

Lindsay, N. Mahiban, and A. K. Parvathy. "Power System Reliability Assessment in a Complex Restructured Power System." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (August 1, 2019): 2296. http://dx.doi.org/10.11591/ijece.v9i4.pp2296-2302.

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The basic purpose of an electric power system is to supply its consumers with electric energy as parsimoniously as possible and with a sensible degree of continuity and quality. It is expected that the solicitation of power system reliability assessment in bulk power systems will continue to increase in the future especially in the newly deregulated power diligence. This paper presents the research conducted on the three areas of incorporating multi-state generating unit models, evaluating system performance indices and identifying transmission paucities in complex system adequacy assessment. The incentives for electricity market participants to endow in new generation and transmission facilities are highly influenced by the market risk in a complex restructured environment. This paper also presents a procedure to identify transmission deficiencies and remedial modification in the composite generation and transmission system and focused on the application of probabilistic techniques in composite system adequacy assessment

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46

Stavroglou, Stavros K., Athanasios A. Pantelous, H. Eugene Stanley, and Konstantin M. Zuev. "Unveiling causal interactions in complex systems." Proceedings of the National Academy of Sciences 117, no. 14 (March 25, 2020): 7599–605. http://dx.doi.org/10.1073/pnas.1918269117.

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Throughout time, operational laws and concepts from complex systems have been employed to quantitatively model important aspects and interactions in nature and society. Nevertheless, it remains enigmatic and challenging, yet inspiring, to predict the actual interdependencies that comprise the structure of such systems, particularly when the causal interactions observed in real-world phenomena might be persistently hidden. In this article, we propose a robust methodology for detecting the latent and elusive structure of dynamic complex systems. Our treatment utilizes short-term predictions from information embedded in reconstructed state space. In this regard, using a broad class of real-world applications from ecology, neurology, and finance, we explore and are able to demonstrate our method’s power and accuracy to reconstruct the fundamental structure of these complex systems, and simultaneously highlight their most fundamental operations.

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47

Popovych, O. M., and I. V. Golovan. "COMPLEX DESIGN TOOLS FOR IMPROVEMENT OF ELECTROMECHANICAL SYSTEMS WITH INDUCTION MOTORS." Tekhnichna Elektrodynamika 2022, no. 2 (March 19, 2022): 52–59. http://dx.doi.org/10.15407/techned2022.02.052.

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The stages, methodology and complex design tools of electromechanical systems with inductions motors are substantiated. A quantitative assessment of the possibilities of increasing their economic efficiency using complex design according to the criterion of maximum income is provided. The expressions of complex criteria of efficiency, complex mathematical models and research methods are substantiated. The change in economic efficiency is determined when the value of design parameters deviates from the optimal value. Using the developed means of complex design can increase economic efficiency by tens of percent is shown. References 22, table 1, figures 2.

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48

Jose, Editha C., Dylan Antonio SJ Talabis, and Eduardo R. Mendoza. "Absolutely Complex Balanced Kinetic Systems." MATCH Communications in Mathematical and in Computer Chemistry 88, no. 2 (2022): 397–436. http://dx.doi.org/10.46793/match.88-2.397j.

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A complex balanced kinetic system is absolutely complex balanced (ACB) if every positive equilibrium is complex balanced. Two results on absolute complex balancing were foundational for modern chemical reaction network theory (CRNT): in 1972, M. Feinberg proved that any deficiency zero complex balanced system is absolutely complex balanced. In the same year, F. Horn and R. Jackson showed that the (full) converse of the result is not true: any complex balanced mass action system, regardless of its deficiency, is absolutely complex balanced. In this paper, we present initial results on the extension of the Horn and Jackson ACB Theorem. In particular, we focus on other kinetic systems with positive deficiency where complex balancing implies absolute complex balancing. While doing so, we found out that complex balanced power law reactant determined kinetic systems (PL-RDK) systems are not ACB. In our search for necessary and sufficient conditions for complex balanced systems to be absolutely complex balanced, we came across the so-called CLP systems (complex balanced systems with a desired "log parametrization" property). It is shown that complex balanced systems with bi-LP property are absolutely complex balanced. For non-CLP systems, we discuss novel methods for finding sufficient conditions for ACB in kinetic systems containing non-CLP systems: decompositions, the Positive Function Factor (PFF) and the Coset Intersection Count (CIC) and their application to poly-PL and Hill-type systems.

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49

Shi, Bing Jie, Yin He Wang, Qin Ruo Wang, and Zi Lin Gao. "The Power Tracking Control Design for Wind Power Generation Systems with DFIG." Applied Mechanics and Materials 321-324 (June 2013): 1388–91. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.1388.

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Because of the complex structure and the changeable parameters of the DFIG and the shortcomings of the traditional PI controller, a new nonlinear P+C (C for constant) controller is raised to achieve the active power and reactive power decoupling control. The simulation results show the validity, effectiveness and robustness of the method in this paper.

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Ferreira dos Santos, António, and João Tomé Saraiva. "Agent Based Models in Power Systems." U.Porto Journal of Engineering 7, no. 3 (April 30, 2021): 101–13. http://dx.doi.org/10.24840/2183-6493_007.003_0009.

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Abstract:

In the last two decades, power systems have experienced several changes, mainly related to organizational and operational restructuring. The appearance of new actors contributes to developing new business models and modifies its traditional operation activities. As a direct result, there is a need for new control solutions and strategies to integrate these different players. Agent-Based Models (ABM) have been increasingly used to model complex systems since they are especially suited to model systems influenced by social interactions between flexible, autonomous, and proactive agents. This paper provides a review of the literature regarding ABM in power systems followed by an analysis in more detail regarding specific applications that are becoming relevant in this new paradigm.

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