Abstract: The expansion of special loads in power distribution networks results in uncertain power flow distribution,great voltage fluctuation and difficulties in the control of reactive power.In order to solve this problem,a dynamic reactive power optimization method of the distribution network containing special loads is proposed.In the investigation,first,the uncertainty of power flow in the distribution network containing special loads is described via the calculation of probabilistic load flow.Next,in order to overcome the strong space-time coupling of dynamic reactive power optimization issue created by the action constraints of the discrete control equipment,a time decoupling strategy is proposed,which transforms the original problem into a continuous optimization decision in each period.Then,a voltage quality penalty function and an equipment switch penalty function are designed based on the probabilistic voltage distribution information and the equipment adjustment ability.The optimization goal fully considers the network loss,the probabilistic voltage distribution and the equipment adjustment ability,so that the reactive voltage of the distribution network can be optimized according to the optimization process of control variables and state variables.Finally,a case study on IEEE 33-bus system is performed to verify the effectiveness of the proposed method.

Key words: power distribution network, dynamic reactive power optimization, time decoupling, special load, probabilistic load flow, multi-population genetic algorithm