Optimal Allocation Of Wind-storage Combined Generation Systems Considering Probability Distribution Model Of Generation Systems Output

In the severe energy situation, the development and utilization of wind energy and other clean energy has become a global energy development strategy. Penetration rate of distributed wind generation(DWG) in distribution system increases gradually, the uncertainties of wind power has brought many challenges to the system operation, fluctuation of wind power output can be smoothed by combine DWG and energy storage system(ESS) into a wind-storage combined generation systems, and the wind power accommodation capacity of distribution system can be improved. This paper discusses the optimal allocation of wind-storage combined generation systems in distribution system.Firstly, this paper designs a modeling method for probability distribution model of wind-storage combined generation systems output based on probability distribution model of DWG output and operating characteristic of ESS. With this method probability model of wind-storage combined generation systems are obtained based on probability distribution model of DWG output and parameter of ESS, the output behavior of wind-storage combined generation systems can be described.Secondly, the power generation system can be established by using in view of the shortcomings that the ESS are not considered in probabilistic load flow model, the probability distribution model of wind-storage combined generation systems can be established and applied to the probabilistic load flow model by using the proposed method. The probabilistic load flow analysis can be realized under the condition of the given energy storage allocation scheme. This method is a useful supplement and extension to the current probabilistic load flow model with wind power.On this basis, wind-storage combined generation systems are established for the distribution system with high penetration rate so as to optimize the operation state of the system.This paper built the multiobjective optimal allocation model of ESS that considered the gateway power fluctuation, node voltage fluctuation and capacity of ESS, using the Nondominated Sorting Genetic Algorithm II and weighted ideal point method to make the optimal decision. The case was given to verify the optimal decision can be given by the proposed method with preference of the decision maker.In the end, the optimal allocation model of the DWG and ESS is built, whose objective function was to maximize the annual value of comprehensive income. In order to solve the the model fastly, this paper proposed an improved multiple population genetic algorithm with the effective searching optimal mechanism that could enhance the performance of the algorithm. The case shows the optimized scheme can be obtained which has more considerable comprehensive benefits, through the rational allocation of DWG and ESS can effectively improve the distribution system of wind power accommodation capacity, maximum use of renewable energy.