Optimization Method of Reactive Power Generation in Wind Plant Based on DE Algorithm

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Abstract:

Reactive power optimization scheduling problem of wind plant including capacitor and fan is researched in this paper. According to the structure of the wind plant to set different scenarios , aiming at minimizing the reactive power loss , establish the reactive power optimization mathematical model of the wind plant, calculate the optimal reactive power of wind turbine in different positions , minimize the reactive power loss inside wind plant under the constraints of the offset range of node voltage and the reactive power demand of grid. Through the analysis of examples,clear whether a reasonable reactive scheduling scheme can be getted, and present the optimization result . Keywords: Wind plant,Reactive power optimization scheduling,DE algorithm

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Periodical:

Advanced Materials Research (Volumes 953-954)

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543-551

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] ZHAO Bo, GUO Chuangxin, ZHANG Pengxiang, et al. Distributed cooperative particles swarm optimization algorithm for reactive power optimization [J]. Proceed of the CSEE, 2005, 25(21): 1-7. (in Chinese).

Google Scholar

[2] CUI Ting, SUN Yuanzhang, XU Jian, et al. Reactive Power Optimization of Power System Based on Improved Niche Genetic Algorithm [J]. Proceed of the CSEE. 2011, 31(19): 43-50. (in Chinese).

Google Scholar

[3] ZHAO Liang, LV Jian-hong. Multi-objective reavtive power optimization of wind farm based on improved genetic algorithm [J]. Electric Power Automation Equipment. 2010, 30(10): 84-88. (in Chinese).

Google Scholar

[4] ZHAO Ligang, FANG Dazhong, KONG Xiangyu, et al. A strategy of reactive power control for wind farm operation using SVC and DFIG [J]. Power System Protection and Control. ISTIC EI, 2012, 40(2). (in Chinese).

Google Scholar

[5] FANG Jingmei, Research on the Optimal Control for Reactive Power in Wind Farms Based on Genetic Algorithm [D]. North China Electric Power University, 2012. (in Chinese).

Google Scholar

[6] CHEN Huifen, QIAO Ying, LU Zongxiang, et al. Design of Circulating Current Suppressing Controllers for Modular Multilevel Converter. Automation of Electric Power System. 2010, 34(18): 78-83. (in Chinese).

Google Scholar

[7] Biswas S, Chakraborty N. Reactive power generation minimization aspect in deregulatory power scenario using particle swarm optimization technique[C]/Energy, Automation, and Signal (ICEAS), 2011 International Conference on. IEEE, 2011: 1-6.

DOI: 10.1109/iceas.2011.6147115

Google Scholar

[8] Meegahapola L G, Vittal E, Keane A, et al. Voltage security constrained reactive power optimization incorporating wind generation[C]/Power System Technology (POWERCON), 2012 IEEE International Conference on. IEEE, 2012: 1-6.

DOI: 10.1109/powercon.2012.6401436

Google Scholar

[9] Peng P, Su S, Luo X, et al. Study on Fuzzy Dynamic Programming for Optimization of Reactive Power Compensation of Power System Including Distributed Generation[C]/Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on. IEEE, 2008, 1: 931-935.

DOI: 10.1109/icicta.2008.443

Google Scholar

[10] Hongwen Y, Junna T. Reactive power optimization research of power system considered the generation transmission and distribution[C]/Industrial Technology, 2008. ICIT 2008. IEEE International Conference on. IEEE, 2008: 1-4.

DOI: 10.1109/icit.2008.4608373

Google Scholar