Study on Reactive Power Optimization of Distribution Network Considering the Constraint of the Number of Capacitor Actions

The reactive power optimization model of the distribution network considering the constraint of the number of capacitor actions in a period is an NP-hard problem mathematically. In this paper, a recursive merging strategy is proposed, which heuristically considers the constraint of the number of capacitor actions, and decouples the reactive power optimization in the period into several sub-periods. The expected characteristic network of the sub-period is proposed. Combined with the expected characteristic network, the multi-objective reactive power optimization model of the sub-period is established, and the adaptive genetic algorithm is used to solve the reactive power optimization model. After all the reactive power optimization models of several sub-periods are solved, the solution of the original reactive power optimization model is obtained. The simulation example verifies the effectiveness of the optimization model and algorithm proposed in this paper.