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。
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 fimction 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.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2014年第3期94-99,共6页
Power System Protection and Control
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
dynamic power network planning
electromagnetism-like mechanism （ELM）
multi-objective optimization
dynamic planning model
multi-stage
self-adaptive
