| 电力系统经济负荷分配的改进混沌粒子群算法 |
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| 引用本文： | 高伟,王建忠,杨耿杰.电力系统经济负荷分配的改进混沌粒子群算法[J].闽江学院学报,2010,31(2):52-56. |
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| 作者姓名： | 高伟 王建忠 杨耿杰 |
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| 作者单位： | 1. 福州大学电气工程与自动化学院,福建,福州,350108
2. 福建省石狮电力有限责任公司,福建,泉州,362700 |
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| 摘 要： | 提出一种用于电力系统经济负荷分配的改进混沌粒子群算法．算法中采用自适应外罚函数法解决目标函数的约束问题，考虑了机组的系统平衡、出力上下限、爬坡速率和工作死区等约束条件；在粒子群算法中引入混沌机制，使算法能快速跳出局部极值区，提高算法的全局寻优性能；针对变惯性权重系数和变最大搜索速度改进措施的不足，提出依据机组爬坡速率约束来缩小最优解的搜索区域．仿真结果表明，改进的混沌粒子群算法对于解决带约束条件的经济负荷分配问题是可行和高效的，与改进前的计算方法相比，降低了运行费用，提高了寻优速度．
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| 关 键 词： | 电力系统 经济负荷分配 混沌粒子群算法 外罚函数 缩小搜索区域 |
Improved chaotic particle swarm optimization algorithm for power system economic load dispatch |
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| GAO Wei,WANG Jian-zhong,YANG Geng-jie.Improved chaotic particle swarm optimization algorithm for power system economic load dispatch[J].Journal of Minjiang University,2010,31(2):52-56. |
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| Authors: | GAO Wei WANG Jian-zhong YANG Geng-jie |
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| Institution: | 1.College of Electrical Engineering and Automation of Fuzhou University;Fuzhou;Fujian 350108;China;2.Shishi Electric Power Limited Company of Fujian province;Quanzhou;Fujian 362700;China |
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| Abstract: | An improved chaotic particle swarm optimization(PSO) algorithm is introduced in order to resolve the power system economic load dispatch(ELD) problem.The new algorithm applies outer-penalty function to solve the constraints of objective function,such as system balance limits,upper and lower output limits,ramp rate limits and prohibited zones of generator units.By integrating chaotic optimization into particle swarm optimization,it can jump out of the local extreme zone quickly and improve particles' searchi... |
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| Keywords: | power system economic load dispatch chaotic particle swarm algorithm outer-penalty function narrow search region |
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