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基于细菌群体趋药性算法的电力市场发电机组日有功经济调度 被引量：3

Daily Optimal Economic Dispatch in Electricity Market Based on Bacterial Colony Chemotaxis(BCC) Algorithm
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摘要 对电力系统经济运行中的一个基本问题即发电机组经济调度问题进行了研究。讨论了电力市场环境下发电机组经济负荷分配的新特点,并建立了相应的数学模型并将一种新的群体智能优化算法细菌群体趋药性算法应用于其中。优化结果表明本文对在市场机制的新环境下解决机组经济负荷分配问题的尝试是成功的。 The economic dispatch of power system, as one of the basic problems of power system is discussed. A new intelligent optimization algorithm of bacterial colony chemotaxis （BCC） is proposed for the model of generation scheduling considering the new characteristics in bid-based electricity markets. The result of simulation shows that the process is acceptable and useful for economic dispatch in electricity markets.
作者 张聪 黄伟
机构地区 华北电力大学输配电系统研究所
出处 《现代电力》 2008年第3期77-80,共4页 Modern Electric Power
关键词 电力系统 电力市场 经济负荷分配 智能优化 细菌群体趋药性 power system electricity market economic dispatch intelligent optimization bacterial colony chemotaxis
分类号 TM73 [电气工程—电力系统及自动化]
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参考文献17

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二级参考文献19

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共引文献208

同被引文献36

引证文献3

二级引证文献37

现代电力
2008年 第3期

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