中文说明：
优秀论论及对应源码。电力系统配电网的无功优化规划是保证配电网安全、经济运行的一项有效手段，是降低网损、提高电压质量的重要措施。因此，电力系统配电网无功优化规划问题的研究，既具有理论意义，又具有工程实际应用价值。配电系统最优规划问题是一个复杂的非线性组合优化问题，至今未得到很好的解决。Tabu搜索(TS—Tabu search)算法是近年来出现的用于求解组合优化问题的一种高效的启发式搜索技术。本文采用固定并联电容器作为研究对象对系统进行无功补偿，并利用智能优化方法得到使配电网损耗降低最大对应的最优节点解。并在补偿容量的邻域搜索方面做了改进，采用扩大邻域搜索范围以达到全局最优的效果。用IEEE的两个算例得出的计算结果证明了这种方法的可行性。
English Description：
Excellent theory and corresponding source code. Reactive power optimization planning of power system distribution network is an effective means to ensure the safe and economic operation of distribution network. It is an important measure to reduce network loss and improve voltage quality. Therefore, the research on reactive power optimization planning of power system distribution network has both theoretical significance and practical application value. The optimal planning of distribution system is a complex nonlinear combinatorial optimization problem, which has not been well solved. Tabu search (ts-tabu search) algorithm is an efficient heuristic search technique for solving combinatorial optimization problems. In this paper, the fixed shunt capacitor is used as the research object to compensate the reactive power of the system, and the intelligent optimization method is used to obtain the optimal node solution corresponding to the maximum loss reduction of the distribution network. In order to achieve the global optimal effect, the neighborhood search of compensation capacity is improved by expanding the neighborhood search range. Two IEEE examples show the feasibility of this method