Combined optimization scheduling of virtual power plant including tram
In view of the problems of virtual power plant dispatching of traditional trams,such as low optimization capacity and large energy loss,a method of combined thermal power optimization dispatching of virtual power plant based on the improved pigeon swarm algorithm is proposed.Firstly,the tram,thermal power plant,wind power generation and photovoltaic power generation equip-ment are combined into a virtual power plant,and the electric boiler decoupling technology is introduced in the virtual power plant to determine the target function and constraint conditions;then,the virtual power plant is built;finally,the improved pigeon flock algo-rithm is used to optimize the model.The results show that compared with the improved algorithm and particle swarm algorithm,the im-proved algorithm is significantly faster and better,which can be applied to the virtual power plant dispatching model including trams.After testing with four strategies in the scheduling model,it was found that the output deviation of the D strategy was only 8.021 MWh,which is significantly lower than the A,B and C strategies.Moreover,the environmental protection cost and net profit of D strategy are 13138.83 yuan and 782541.92 yuan respectively,which are higher than the other three strategies.The comprehensive a-nalysis shows that adopting the D strategy can reduce the energy loss of the optimal dispatching model of the virtual power plant,make full use of the dispatching characteristics of trams and electric boilers,and improve the economic benefits of the virtual power plant.
pigeon flock algorithmvirtual power plant and thermoelectric trolley
万方数据
维普
