To improve the economy and stability of virtual power plants,a virtual power plant economic dispatch model considering interrupted load is proposed.Firstly,a virtual power plant economic dispatch model is constructed with the objective function of minimizing the interruption load cost;Then,the extended memory coefficient improved particle swarm optimization(IPSO)algorithm is used to solve the economic dispatch model of the virtual power plant;Finally,the IPSO algorithm will be compared and analyzed with PSO algorithm and genetic algorithm(GA)through simulation.The simulation results show that compared to the PSO algorithm,the IPSO algorithm GA,The minimum interruption load cost has been reduced by 7700 yuan and 18100 yuan respectively,and the number of iterations has been reduced by 65 and 84 times respectively;Through the optimization scheduling of IPSO algorithm,the electricity load during peak hours of virtual power plants has been effectively reduced,and the economy and stability of virtual power plant operation have been improved.
virtual power plantseconomic dispatch modelinterrupt loadimproved particle swarm optimization algorithm