| 引用本文: | 付锦,王先洪,欧智乐,苏旭辉,赵廷刚.改进类电磁机制算法在多目标动态电网规划中的应用[J].电力系统保护与控制,2014,42(3):94-99.[点击复制] |
| FU Jin,WANG Xian-hong,OU Zhi-le,SU Xu-hui,ZHAO Ting-gang.Application of improved electromagnetism-like mechanism in multi-objective dynamic power network planning[J].Power System Protection and Control,2014,42(3):94-99[点击复制] |
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| 摘要: |
| 基于动态规划思想，提出将类电磁机制（Electromagnetism-Like Mechanism，ELM）算法应用于多目标动态电网规划。消除了总矢量力对距离的过分倚重，并借鉴被动聚集思想，提升了种群移动模型的抗扰动和全局寻优能力。在权重、局部搜索、变异等环节均采用自适应策略来改善寻优速度，利用精英策略提高收敛效率。通过增设的马尔科夫性约束，避免了架线复拆。采用加权法和罚函数法，将描述电网经济性、可靠性、静态N?1安全的多目标进行统一度量，以体现规划方案的综合满意度。通过对19节点、46节点系统进行十进制编码测试，结果验证了该算法能有效地解决多目标动态电网规划。与遗传算法相比，改进的ELM在寻优效率和容错性方面具有明显优势。 |
| 关键词: 动态电网规划 类电磁机制 多目标优化 动态规划模型 多阶段 自适应 |
| DOI：10.7667/j.issn.1674-3415.2014.03.015 |
| 投稿时间：2013-05-19修订日期：2013-06-29 |
| 基金项目: |
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| Application of improved electromagnetism-like mechanism in multi-objective dynamic power network planning |
| FU Jin,WANG Xian-hong,OU Zhi-le,SU Xu-hui,ZHAO Ting-gang |
| (Nanchong Power Supply Company, Sichuan Electric Power Corporation, Nanchong 637000, China) |
| Abstract: |
| Based on the dynamic programming, the electromagnetism-like mechanism algorithm is applied to multi-objective dynamic planning. It eliminates the over-dependence of the total force vector on the distance, and by drawing lessons from passive congregation thought, enhances the anti-disturbance and global optimization ability of the population mobility model. In the sectors of weight, local search, and mutation, the adaptive strategy is used to improve the searching speed, and the elitist strategy is used to improve the convergence efficiency. By adding the Markov constraints, the re-dismantling of lines is avoided. Using the weighted method and penalty function method, multiple objectives describing the grid economy, reliability, and static N-1 security are measured in a unified manner to reflect the overall satisfaction of the plan. Applying decimal coding to 19-bus and 46-bus system, the results show that the algorithm can effectively solve the multi-objective dynamic grid planning. Compared with the genetic algorithm, the improved ELM has obvious advantages in searching efficiency and fault-tolerance. |
| Key words: dynamic power network planning electromagnetism-like mechanism (ELM) multi-objective optimization dynamic planning model multi-stage self-adaptive |
