基于微粒群优化算法的电力系统动态无功优化Dynamic Reactive Power Optimization Based on Particle Swarm Optimization Algorithm
何佳;吴耀武;娄素华;熊信艮;
摘要(Abstract):
根据系统负荷曲线变化趋势按单调性将一天的预测负荷曲线划分为若干(小于24)个时段,并将动作次数约束还原为经济成本,将它与网损费用等之和作为目标函数,并考虑了各种运行约束条件,采用微粒群优化算法进行计算,该算法收敛速度较快。与静态无功优化模型相比表明,该无功优化模型更适合给定的地区电网,优化后全天的网损略有增大,但变压器抽头调节次数以及电容器组投切次数明显减少。
关键词(KeyWords): 动态无功优化;单调性;经济成本;微粒群优化算法;电力系统
基金项目(Foundation):
作者(Author): 何佳;吴耀武;娄素华;熊信艮;
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DOI:
参考文献(References):
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