Multi-objective Reactive Power Optimization Of Distribution Network With Distributed Power

With the vigorous development of the economy,the contradiction between the increasing global energy demand and the depletion of traditional fossil resources has become more serious,and the excessive exploitation and use of fossil fuels has also caused a sharp deterioration in the ecological environment.The power system is facing many challenges.All sectors of the society are actively advocating the use of renewable clean energy and the construction of new smart grids.Distributed power generation is becoming more and more widely used.However,the access of distributed power has changed the structure and operation state of the distribution network,and changed the direction of the power flow of the distribution network.The optimal control of the distribution network is facing huge challenges.The thesis has conducted theoretical and applied research around the optimal control strategy of distributed power access to the distribution network.The main work completed in this article is as follows:First,theoretical analysis and derivation of the impact of distributed power access to the distribution network on the voltage and voltage distribution,through the simulation analysis of the distributed power access location,access capacity,power factor on the distribution network voltage and active power formula Impact.Elaborate on the active and reactive power coupling mechanism of the distribution system,analyze and summarize the effect of active and reactive power fluctuations on the system voltage,network loss and other indicators;model and analyze the active and reactive power output characteristics of the distributed power supply,clarify the active and reactive power Reactive power coordination optimization can get better optimization effect.Then,from the point of reducing network loss and increasing voltage level,by considering distributed power,energy storage and traditional reactive power equipment in the distribution network,an active and reactive power coordination optimization model is proposed,and the NSGA-II algorithm is used to find out The Pareto frontier is obtained,and the optimal compromise solution is selected with the fuzzy membership function,and a good optimization effect is obtained.Finally,on the basis of static optimization,a two-stage pre-optimization-correction dynamic optimization method is proposed.The active network loss and voltage level are evaluated by Gauss-type membership function and Z-type membership function,respectively.Two optimization goals are balanced.The method of fuzzy mean clustering is used to solve the problem of time-space coupling in dynamic optimization.Finally,an example is given to verify the effectiveness of the optimization method.