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改进粒子群优化算法在实时电力调度中的研究与应用

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摘要 针对传统粒子群算法收敛精度不高、易陷入局部最优的缺点,文中提出了一种改进的粒子群优化算法,并将其用于优化实时电力调度问题。对IEEE-14节点系统的计算结果表明:与GA、PSO算法相比,新算法不仅避免了惯性因子权重调整的困难,而且较好地协调了算法的局部与全局搜索能力,从而实现经济因素、污气排放与电力调度之间的平衡。
作者 宫蓉蓉
机构地区 长沙民政职业技术学院
出处 《长沙民政职业技术学院学报》 2012年第A04期178-181,共4页 Journal of Changsha Social Work College
关键词 粒子群算法 遗传算法 实时电力调度
分类号 TP18 [自动化与计算机技术—控制理论与控制工程] TM73 [电气工程—电力系统及自动化]
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参考文献10

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二级参考文献32

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共引文献15

长沙民政职业技术学院学报
2012年 第A04期

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