| 基于蚂蚁算法的配电网无功优化 |
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| 引用本文： | 郭恒,罗可,唐贤瑛. 基于蚂蚁算法的配电网无功优化[J]. 电力电容器与无功补偿, 2005, 0(4): 21-24 |
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| 作者姓名： | 郭恒 罗可 唐贤瑛 |
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| 作者单位： | 长沙理工大学计算机与通信工程学院,湖南,长沙,410076 |
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| 摘 要： | 电力系统中无功功率的优化配置在电网经济运行中占有十分重要的地位,无功优化问题是一个复杂的组合优化问题,蚁群算法是用于解决组合优化问题的一种高效的随机化内启发式全局搜索技术。文中采用改进的蚁群算法来解决配电网络无功优化问题,建立了相应的数学模型。并以某城市配电网无功优化结果表明这种方法搜索效率高易于找到全局最优解的优点。
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| 关 键 词： | 蚂蚁算法 无功优化 电力系统 外激素 人工蚂蚁 蚁群优化 |
Improved Ant Colony Algorithm for Distribution Reactive Power Optimization |
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| GUO Heng,LUO Ke,TANG Xian-ying. Improved Ant Colony Algorithm for Distribution Reactive Power Optimization[J]. Power Capacitor $ Reactive Power Compensation, 2005, 0(4): 21-24 |
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| Authors: | GUO Heng LUO Ke TANG Xian-ying |
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| Abstract: | Reactive power optimization is a complex combination optimization problem,and ant colony algorithm is highly efficient for quickly finding high quality solutions to combination optimization problems.In this paper,an improved ant algorithm is introduced to the reactive power optimization,and the corresponding mathematical model.Finally one city′s reactive power optimization solution algorithm is presented.The result of this mathematical method shows that ant colony algorithm′s advantage on computing speed. |
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| Keywords: | Ant colony algorithm Reactive power optimization Power system Pheromore Artificial ant Ant Colony Optimization |
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