基于Tabu搜索算法的配电网电容器优化配置

应用Tabu搜索算法来解决配电网电容器优化配置问题，建立了相应的数学模型，目标函数为系统有功损耗费用和补偿电容器费用之和最小。文中在传统Tabu搜索法的基础上，利用灵敏度分析和嵌套Tabu搜索等方法对配电网电容器的安装位置和容量进行了优化配置。利用灵敏度分析可以产生较优的初始解，并在Tabu搜索中定义更好的邻域试验解，这样可以更快速地搜索到邻域内的最优解；嵌套Tabu搜索法对电容器安装位置和容量分别进行优化配置，保证可以搜索到整个可行域，从而能更有效地搜索全局最优解。用测试算例验证了文中算法的有效性和可行性。

OPTIMAL CONFIGURATION OF CAPACITORS IN DISTRIBUTION NETWORK BASED ON TABU SEARCH ALGORITHM

To solve the problem of the configuration of capacitors in radial distribution networks by Tabu search algorithm, a mathematical model is established, whose objective function is that the total cost, including the cost for network real power losses and the investment of compensating capacitors, should be minimum. On the basis of traditional Tabu search algorithm, we use the sensitivity analysis and embedded Tabu Search to optimize the configurations of installation position and capacity of the capacitors in distribution network. The sensitivity analysis can produce a better initial solution and define a better testing solution in neighborhood during Tabu Search. In this way, the optimal solution within neighborhood can be searched more quickly. Applying the embedded Tabu search to respectively optimize the configurations of the installation position and the capacity of capacitors ensures that the total feasible field can be searched. Therefore, the global optimal solution can be searched more effectively. The results of test and calculation examples show that the presented algorithm is feasible and effective.