Solving the SWMP Problem Based on Improved Differential Evolution Algorithm
Demand side response can bring considerable benefits to the power grid,and research on economic dispatch optimization methods for power systems that takes into account demand response has become a topic of concern for domestic and foreign scholars.A differential evolution algorithm based on a stochastic black hole model,called the differential evolution hole algorithm(S-DEH),has been proposed to solve the economic dispatching problem of power systems considering demand-side response.This algorithm bases on the original differential evolution algorithm combined with the stochastic black hole model,which is highly sensitive to initial sequence,stable and reliable,and requires little computation.It can select the best control parameters for different problems,reduce artificial operation errors and the time required to adjust the optimization algorithm parameters,and has high solving ef-ficiency.At the same time,the calculation model adopted in this paper is to solve the social welfare maximization problem(SWMP)of the power system in a single period considering the demand-side response to verify the performance of the algorithm.By solving the SWMP scheduling problem in a multi-period,the algorithm can still maintain efficient performance when dealing with complex optimization problems of high dimensions.
adaptive differential evolution algorithmdifferential evolution black hole algorithmeconomic dispatching of power systemdemand-side management
万方数据
维普
