首页> 中文期刊> 《电力系统保护与控制》 >基于混沌自适应分组和声搜索算法的输电网规划

基于混沌自适应分组和声搜索算法的输电网规划

         

摘要

针对目前大规模输电网规划求解中难以快速地求得全局最优解的问题,给出了基于线路的建设费用、网络损耗费用、输电线路走廊的建设费用、各支路总的过负荷惩罚费用和N-1约束的过负荷惩罚费用为目标函数的输电网规划模型。分析了和声搜索算法随着输电网规模的扩大、优化问题维数的增加,算法求解精度和收敛速率明显降低且易陷入局部寻优的现象及其原因的基础上,设计了一种混沌自适应分组和声搜索算法。该算法通过维数分组、变异和混沌扰动来提升算法的搜索能力,使其能够快速地求解大规模的输电网规划问题。通过对IEEE18节点和巴西南部46节点系统的计算,证明了算法及模型应用于输电网规划的可行性,为实际工程应用打下了基础。%At present, it is difficult to obtain the global optimal solution fast in the large-scale transmission networks planning solving. For that, this paper proposes a model of transmission network planning which takes line investment costs, network loss cost, the over-load cost of normal operation, transmission corridor cost andN-1 overload penalty cost constraints as objectives. After the main disadvantages of being inclined to premature convergence, low accuracy and convergence rate in harmony algorithm are discussed, with the expansion of the transmission network and the increase in the dimension optimization problem, chaos adaptive grouping harmony search algorithm is proposed. Through group dimension, mutation and chaos disturbance to improve search ability of the algorithm, it can quickly solve large-scale transmission networks planning problems. Through the results of 18-node system and Southern Brasilian 46-bus system, it can not only prove the algorithm and model correctness and effectiveness in transmission network planning, but also can demonstrate that the algorithm has high computing speed and convergence, which provides the foundation for practical engineering applications.

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