基于IPM-intPSO的两阶段动态无功优化算法

A heuristic search-variable correction two-stage dynamic reactive power optimization algorithm is proposed based on the combination of IPM(Interior Point Method) and intPSO(integer Particle Swarm Optimization) algorithm. Firstly, intPSO algorithm is adopted to solve the discrete variables, and IPM is used to deal with the continuous variables, by the alternate iteration of which the solution method of static reactive power optimization is obtained. Then, the optimal dynamic segmentation number is self-adaptively obtained with the minimum power loss guaranteed, which overcomes the shortages of the load curve based artificial segmentation method. Finally, the re-optimization of variable correction based on the results of heuristic search is carried out for the objective function. The simulative results of IEEE 9-, 14-, 30-, 57- and 118-bus systems verify the effectiveness of the proposed algorithm.