| 基于文化粒子群算法的梯级水电站优化调度研究 |
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| 引用本文： | 何玲丽,周建中,卢有麟,张勇传.基于文化粒子群算法的梯级水电站优化调度研究[J].水电能源科学,2009,27(1). |
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| 作者姓名： | 何玲丽 周建中 卢有麟 张勇传 |
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| 作者单位： | 华中科技大学,水电与数字化工程学院,湖北,武汉,430074 |
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| 基金项目： | 国家重点基础研究发展规划(973计划)，科技部水利部公益性行业科研专项基金 |
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| 摘 要： | 针对PSO算法中的早熟收敛问题,提出一种文化粒子群算法(CPSO)并将PSO纳入文化算法模型作为群体空间的进化方式,引入一种局部随机搜索算子实现信念空间的知识结构并指导算法的演化过程,在保持种群多样性的同时提高算法的全局寻优性能.将CPSO应用于某梯级水电站的优化调度中,结果表明,CPSO可很好地兼顾计算速度及求解精度,为梯级水库优化调度提供了一条全新途径.
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| 关 键 词： | 文化模型 粒子群优化算法 局部搜索 梯级水库调度 |
Optimal Dispatching of Cascaded Hydropower Stations Based on Cultural Particle Swam Optimization Algorithm |
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| HE Lingli ZHOU Jianzhong LU Youlin ZHANG Yongchuan.Optimal Dispatching of Cascaded Hydropower Stations Based on Cultural Particle Swam Optimization Algorithm[J].International Journal Hydroelectric Energy,2009,27(1). |
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| Authors: | HE Lingli ZHOU Jianzhong LU Youlin ZHANG Yongchuan |
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| Affiliation: | College of Hydropower and Information Engineering;Huazhong University of Science and Technology;Wuhan 430074;China |
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| Abstract: | In order to apply particle swam optimization(PSO) algorithm to the optimal dispatching problem of cascaded hydropower stations,a new global optimization approach-cultural based particle swam optimization algorithm(CPSO) is proposed to improve the critical deficiency of traditional PSO such as the problem of local convergence.In the proposed algorithm,PSO is integrated into the framework of cultural algorithm model and serves as the evolution method of the population space.Meanwhile,a local random search ope... |
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| Keywords: | cultural algorithm model particle swam optimization algorithm local search cascaded hydropower station dispatching |
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