| 基于混合连续蚁群算法的最优潮流研究 |
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| 引用本文： | 陈厚合,吕志远,朱景明. 基于混合连续蚁群算法的最优潮流研究[J]. 东北电力学院学报, 2009, 29(6): 54-59 |
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| 作者姓名： | 陈厚合 吕志远 朱景明 |
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| 作者单位： | 陈厚合(东北电力大学,吉林,吉林,132012);吕志远(烟台供电公司,山东,烟台,264000);朱景明(长春超高压局,吉林,长春,130031) |
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| 摘 要： | 提出了基于混合连续蚁群(HCACO)的最优潮流(OPF)计算方法;该方法将蚁群优化算法(ACO)的正反馈特性与实数遗传算法(GA)的进化策略相结合,克服了基本蚁群算法只适用于离散问题的局限性,并提高了寻优的效率,同时采用动态调整罚函数策略,有效提高了算法的全局收敛能力和计算精度,采用优进策略,提高了算法的收敛速度.应用此算法对标准IEEE-30节点测试系统进行最优潮流计算,该算法能够更好地获得全局最优解,仿真结果表明了该算法的合理性和有效性.
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| 关 键 词： | 最优潮流 混合连续蚁群算法 动态罚函数 |
Study on Optimal Power Flow Based on Hybrid Continuous Ant Colony Optimization |
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| CHEN Hou-he,LV Zhi-yuan,ZHU Jing-ming. Study on Optimal Power Flow Based on Hybrid Continuous Ant Colony Optimization[J]. Journal of Northeast China Institute of Electric Power Engineering, 2009, 29(6): 54-59 |
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| Authors: | CHEN Hou-he LV Zhi-yuan ZHU Jing-ming |
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| Affiliation: | CHEN Hou-he~1,LV Zhi-yuan~2,ZHU Jing-ming~3 (1.Northeast Dianli University,Jilin,132012,2.Yantai Power Supply Corporation,Yantai,Sh,ong,264000,3. Changchun Extra High Voltage Bureau,Changchun,130031) |
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| Abstract: | This paper presents a non-linear model of Optimal Power Flow(OPF) computation,which is based on Hybrid Continuous Ant Colony Optimization(HCACO).Combining the positive feedback of Ant Colony Optimization (ACO) strategy and evolutionary strategy of Float Genetic Algorithm(GA),HCACO enhances the optimization efficiency and global convergence performance.According to the amount overrunning the limit of inequality constraints during the computing process,uses non-stationary multi-stage assignment penalty functi... |
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| Keywords: | Optimal Power Flow Hybrid Continuous Ant Colony Optimization Non-stationary Multi-stage Assignment Penalty Function |
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