| 改进的粒子群算法在水电站有功负荷分配中的应用 |
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| 引用本文： | 赵燕伟,毛亚明,张仁贡.改进的粒子群算法在水电站有功负荷分配中的应用[J].中国农村水利水电,2014,0(2):144-147. |
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| 作者姓名： | 赵燕伟 毛亚明 张仁贡 |
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| 作者单位： | 1. 浙江工业大学
2. 浙江同济科技职业学院 |
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| 基金项目： | 国家科技支撑计划课题《农村小水电高效发电技术与设备研制》 |
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| 摘 要： | 利用改进的粒子群算法建立了水电站厂内经济运行有功负荷分配数学模型。基于基本的PSO算法，进行了编码设计，改进了适应值函数，同时提出了寻优变异策略，并给出了详细的改进的PSO（Improved Particle Swarm Optimization, IPSO）算法求解步骤。结合华能湘祁贯流式水电站进行实例计算仿真,结果表明,改进的PSO算法求解水电站有功负荷分配问题是可行和有效的，该算法简单，易于实现，具有更好的收敛性能。
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| 收稿时间： | 2013-09-11 |
| 修稿时间： | 2013-10-08 |
The application of improved particle swarm optimization in active load distribution of hydropower station |
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| Abstract: | This paper establishes the mathematical model of genetic algorithm about the active power distribution in inner-plant economical operation of hydropower station. Based on the basic PSO algorithm , encoded is designed and fitness function is improved ,at the same time ,optimization and mutation strategy is proposed, , and a detailed procedure for solving（Improved Particle Swarm Optimization, IPSO） is given. And considers the effects of Huaneng Xiang Qi Tubular hydropower station, it indicates that using the improved algorithm in active load distribution of hydropower station is available. And the algorithm is simple, easy to implement and has better convergence performance. |
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