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无功优化遗传算法中的潮流算法改进研究 被引量:1

Improvement of power flow algorithm in reactive power optimal genetic algorithm
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摘要 分析了潮流计算的数学模型 ,介绍了快速解耦法求解潮流 ,提出了一些改进措施 ,借以避免每次潮流计算都要反复形成第一因子表的缺点 ,采取收敛精度可变的手段 ,可使无功优化计算时间下降 65 Genetic algorithm is a global optimization algorithm, which has been applied to optimal reactive power calculation of power system. Since the power flow computation needs a large number of storage space and calculating time, it leads too long the search time to meet the need of real time reactive power dispatch optimization of large scale power system. Some improvement measures of Fast Decoupled Load Flow were presented to cut the computation time of reactive power optimization about 65% off.
作者 吴疑
出处 《华东电力》 北大核心 2003年第5期10-12,共3页 East China Electric Power
关键词 电力系统 潮流算法 数学模型 快速解耦法 无功优化 遗传算法 genetic algorithm power flow computation reactive power optimization
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