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基于差分进化算法的油田区域配电网无功优化技术的研究 被引量:27

Research on the Reactive Power Optimization of Oil-Field Regional Distribution Network Based on Differential Evolution
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摘要 针对油田区域配电网负荷大、无功严重不足、电力损耗大的特点,提出了一种适用于油田区域电网的无功优化方法。该方法建立了综合考虑系统的经济性和安全性并使其互为约束的无功优化数学模型,并采用在电力系统无功优化领域应用较少的差分进化算法对模型进行求解。该方法具有优化结果与初始值的选取无关、需要控制量少和容易找到全局最优解的优点,实例分析和不同优化算法对比结果表明了所提出的区域配电网无功优化方法的可行性和有效性。 As the regional distributed network of oil-field possessing the characteristics of heavy load, severe short of reactive power and large grid losses, a reactive power optimization method which is suitable for the oil-field regional network is proposed in this paper. The mathematical model of reactive power optimization was established which bad comprehensively considered the economy and security of the system to make them constraint each other in the proposed method. The proposed optimization model was solved with the differential evolution algorithm, which had been merely mentioned in previous research of power system reactive power optimization. By using this algorithm, the optimization results are independent of the initial values and few controlled variables are neccessory. It is easy to find the global optimal solutions with the differential evolution. The results of the cases analysis and the compare of different optimization methods suggested that the proposed regional distributed network reactrive power optimization method be feasible and valid.
出处 《电工技术学报》 EI CSCD 北大核心 2013年第6期226-231,共6页 Transactions of China Electrotechnical Society
基金 国家自然科学基金(61271001 60971077) 山东省自然科学基金(ZR2009FM061)资助项目
关键词 配电网 无功优化 动态无功补偿 差分进化算法 Distribution network reactive power optimization dynamic reactive power compensation differential evolution
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