混沌改进粒子群算法及其在储能电站优化调度中的应用

TP18; 储能电站能够提高风电并网效益,减少弃风具有良好的发展前景.在储能电站调度策略中,粒子群算法具有较好的适应性与便捷性,但存在容易陷入局部最优的缺点.针对这一缺点,本文提出将混沌改进的粒子群算法应用到储能电站的控制之中.由于混沌具有随机性、遍历性、规律性和敏感性的特点,将混沌融入到粒子群运动过程中,可以达到粒子群稳定与混沌不断交替进行变动,从而达到全局寻优的特点.最后通过具体算例将算法改进前后进行对比,验证改进的可行性与算法的实际应用性....

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Published in南昌大学学报（理科版） Vol. 44; no. 1; pp. 76 - 86
Main Authors 杨晓辉, 李瑞欣, 姚凯, 周越
Format Journal Article
LanguageChinese
Published 南昌大学信息工程学院,江西 南昌,330031 2020
Subjects
储能电站
目标优化
粒子群算法
logistic混沌序列
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Abstract TP18; 储能电站能够提高风电并网效益,减少弃风具有良好的发展前景.在储能电站调度策略中,粒子群算法具有较好的适应性与便捷性,但存在容易陷入局部最优的缺点.针对这一缺点,本文提出将混沌改进的粒子群算法应用到储能电站的控制之中.由于混沌具有随机性、遍历性、规律性和敏感性的特点,将混沌融入到粒子群运动过程中,可以达到粒子群稳定与混沌不断交替进行变动,从而达到全局寻优的特点.最后通过具体算例将算法改进前后进行对比,验证改进的可行性与算法的实际应用性.
AbstractList TP18; 储能电站能够提高风电并网效益,减少弃风具有良好的发展前景.在储能电站调度策略中,粒子群算法具有较好的适应性与便捷性,但存在容易陷入局部最优的缺点.针对这一缺点,本文提出将混沌改进的粒子群算法应用到储能电站的控制之中.由于混沌具有随机性、遍历性、规律性和敏感性的特点,将混沌融入到粒子群运动过程中,可以达到粒子群稳定与混沌不断交替进行变动,从而达到全局寻优的特点.最后通过具体算例将算法改进前后进行对比,验证改进的可行性与算法的实际应用性.
Author 李瑞欣
周越
姚凯
杨晓辉
AuthorAffiliation 南昌大学信息工程学院,江西 南昌,330031
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LI Ruixin
ZHOU Yue
YANG Xiaohui
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Keywords 储能电站
目标优化
粒子群算法
logistic混沌序列
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