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基于粒子群算法的电力系统无功规划 被引量:5

Power System Reactive Power Programming Based on Partical Swarm Algorithm
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摘要 对基于粒子群算法的无功规划进行了研究,建立了以无功设备投资和系统有功网损的综合费用最省作为目标的目标函数,同时将节点电压越限和发电机无功出力越限以罚函数的方式进行处理。将该算法应用到IEEE30节点系统,计算结果证明了该算法正确有效并具有较好的实用价值。 Power system reactive power programming has great significance in guaranteeing voltage quality, system security and its economy. This paper presented a method of conducting reactive power programming based on Partical Swarm Algorithm, formulating the objective function of minimum of comprehensive cost of the reactive power facility investment and system power losses, disposing of the bus voltage and generator reactive power which exceeds the limit by introducing penalty function. This algorithm was applied to IEEE 30-bus system to illustrate its effectiveness and practical value.
出处 《电力科学与工程》 2009年第6期16-19,28,共5页 Electric Power Science and Engineering
关键词 粒子群算法 电力系统 无功规划 partical swarm algorithm power system reactive power programming
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参考文献10

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