| 自适应进化规划及其在多目标最优潮流中的应用(Ⅱ)--基于自适应进化规划的多目标最优潮流 |
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| 引用本文： | 石立宝,徐国禹.自适应进化规划及其在多目标最优潮流中的应用(Ⅱ)--基于自适应进化规划的多目标最优潮流[J].电力系统自动化,2000,24(8):33-36. |
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| 作者姓名： | 石立宝 徐国禹 |
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| 作者单位： | 重庆大学电气工程学院,重庆,400044 |
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| 摘 要： | 电力系统多目标最优潮流是一个极其复杂的非线性规划问题,其解算方法目前仍处于研究阶段,而开发高效、快速、可靠的最优潮流算法是一项相当艰巨的工作.鉴于此,文中探讨了自适应进化规划在电力系统多目标最优潮流应用中的问题.在优化模型、遗传操作等方面进行了研究,进一步拓展了电力系统最优潮流计算方法的应用前景.通过30节点IEEE试验系统的算例表明自适应进化规划算法十分有效,具有广泛的应用价值.
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| 关 键 词： | 自适应进化规划 多目标规划 最优潮流 |
SELF-ADAPTIVE EVOLUTIONARY PROGRAMMING AND ITS APPLICATION TO MULTI-OBJECTIVE OPTIMAL LOAD FLOW Part Two Self-Adaptive Evolutionary Programming Solution of Multi-Objective Optimal Load Flow |
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| Shi Libao,Xu Guoyu.SELF-ADAPTIVE EVOLUTIONARY PROGRAMMING AND ITS APPLICATION TO MULTI-OBJECTIVE OPTIMAL LOAD FLOW Part Two Self-Adaptive Evolutionary Programming Solution of Multi-Objective Optimal Load Flow[J].Automation of Electric Power Systems,2000,24(8):33-36. |
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| Authors: | Shi Libao Xu Guoyu |
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| Abstract: | Multi-objective optimal load flow is an extremely complicated non-linear planning problem. The paper presents anew algorithm for the solution of multi-objective optimal load flow problem. Some related technical problems. such asoptimized model. genetic operation etc. are investigated. The proposed method is applied to an IEEE-30 bus system. Thenumerical results of the simulation demonstrate that thies method can bring about some good results on dealing withconstraints flexibly, reducing the computational requirements and preventing the search from being in local optimum orconverging with difficulty near the global optimum. |
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| Keywords: | self-adaptive evolutionary programming: multi-objective programming optimal load flow |
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