Voltage Control to Wind Power System with On-Load Tap Changer Based on Improved Genetic Algorithm

doi:10.11930/j.issn.10.11930.2015.6.51

Abstract

Abstract: In order to overcome voltage control difficulty caused by wind power fluctuation, a multiple OLTC coordinated optimization model is proposed. The model targets on voltage security, power loss optimization and tap changer margin improvement, which aims to flexible tap changers switching under load and effective voltage regulation. The active output of wind turbine generators(WTGs) is divided into several sections according to the Weibull distribution of wind speed and WTG output characteristic. The sectional mean is applied to OLTC coordinated optimization for tap changer regulation scheme and estimation of voltage security probability. The global convergence of genetic algorithm is improved by integer coding and combination of probabilistic survival and optimal reservation strategy in offspring population selection. The crossover and mutation for individuals are based on random coordination array and random array within variation limits. The results show that improved genetic algorithm can effectively reduce round off error of original genetic algorithm. Reasonable selection of weight coefficient of objective function and dividing sections of wind power fluctuation can improve voltage security probability for optimization regulation scheme of tap changers. The smaller weight coefficient of voltage security and smaller number of divided sections yield lower probability of voltage security. The less active output of the WTGs for section combination yields smaller objective function value and better voltage security.

Key words: wind power fluctuation, voltage control, on-load tap changer, OLTC coordinated optimization, weibull distribution, sectional mean, genetic algorithm, weight coefficient

CLC Number:

TM734

LI Shenghu, WANG Yanyan, LEI Qingkun, QIAN Zhuang. Voltage Control to Wind Power System with On-Load Tap Changer Based on Improved Genetic Algorithm[J]. Electric Power, 2015, 48(6): 51-57.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.10.11930.2015.6.51

https://www.electricpower.com.cn/EN/Y2015/V48/I6/51

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