Research On Distributed Power Planning Considering Uncertainty

With the increase in power demand and the limitations of traditional power generation methods,distributed power has become a rapidly developing new power generation method due to its flexible control and environmentally friendly advantages.The connection of distributed power supply to the distribution network will have a great impact on the reliability,safety and economy of the electrical system.Thus,it is of realistic significance to reasonably optimize the access location and grid-connected capacity of the distributed power supply in the system.This paper first introduces the mathematical models of various distributed power sources and the processing methods of node types,and incorporates various distributed power sources into the distribution network.It uses the road matrix-based forward and backward power flow calculation method to calculate,and analyzes the impact of distributed power access on the distribution network in different ways;Then,by establishing the mathematical probability model of the output and load of the wind turbine,photovoltaic cell group,and considering the uncertainty of the output,the improved Latin hypercube sampling method is used to extract the output of the distributed power source,according to the volt-ampere characteristics of the distribution network branch Deducing the static voltage stability criterion,and solving the calculation results of the probability power flow with distributed power supply,which lays a good foundation for the research of distributed power planning considering the probability power flow;Finally,a method for determining the location of a distributed power supply based on the load node active network loss sensitivity is introduced,and the objective function and constraints of the distributed power multi-objective planning problem are proposed.The objective functions are the system years.The least comprehensive cost,the smallest system active power loss,and the system electrical deviation and lowest;the MOPSO method is proposed to solve the probabilistic power flow embedded dislributcd power supply planning proble,to obtain a series of Pareto optimal solution sets,and then the fuzzy matter element method is combined with the actual situation Evaluate the plan to get the best plan;verify the planning model and solving algorithm through the IEEE-33 node system and the IEEE-69 node system.The conclusion proves that the method proposed in this paper has superiority and practical guiding significance.