人口迁移算法在“N-1”安全输电网规划中的应用

提出了一种改进人口迁移算法求解输电网扩展规划的大规模组合优化问题。针对标准人口迁移算法在求解过程中搜索容易陷入局部最优解和后期收敛时间较长等缺点,对算法的迭代初始化、种群生成策略以及参数设置进行了改进,将遗传算法的最优保留思想引入到算法中,提高了算法搜索全局最优解的能力与收敛到最优解的速度。将改进后的算法应用到满足"N-1"安全准则的输电网扩展规划问题中,建立了输电网扩展规划的数学模型,设计了相应的算法。比较该算法与粒子群算法、标准人口迁移算法对IEEE Garver6节点系统和IEEE Garver18节点系统的仿真计算结果,证明了改进人口迁移算法能有效地解决满足"N-1"安全检验的输电网扩展规划优化问题。

Application of Population Migration Algorithm in Transmission Network Planning with N-1 Security Criterion

In this paper,the improved population migration algorithm for solving large-scale combinatorial optimization problems of transmission line expansion plan is proposed.In connection with disadvantages such as the easiness of search to lapse into local optimal solution during solving process of standard population migration algorithm and long convergence time in later period and so forth,iteration initialization,population producing strategy and parameter setting get upturned,and the introduction of optimal reservation concept into the algorithm increases capability of searching global optimal solution and speed of convergence to optimal solution.The improved algorithm is applied to transmission network expansion planning catering for N-1 security criterion,mathematical model for transmission network expansion planning is established and the corresponding algorithm is devised.The IEEE Garver 6 node system and IEEE Garver 18 node system are compared via simulation calculation results by this algorithm,particle swam algorithm,standard population algorithm.It is demonstrated that improved population migration algorithm can effectively cope with the optimization of transmission network planning catering for N-1 security inspection.