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。
(Excellent deals on the corresponding source code. Power system with reactive power distribution network optimal planning is to ensure the safety, economic operation of an effective means of reducing the net loss, an important measure to improve the voltage quality. Therefore, the power system reactive power optimization of distribution network planning study, not only has theoretical significance, but also has practical engineering value. Optimal distribution system planning is a complicated nonlinear optimization problem, has not been solved. Tabu Search (TS-Tabu search) algorithm is used in recent years for solving combinatorial optimization problems an efficient heuristic search techniques. In this paper, as the research object of fixed shunt capacitors for reactive power compensation system, and using intelligent optimization method to reduce the loss of the largest distribution network node corresponding to the optimal solution. Compensation capacity in the neighborhood search are)