Coordinated optimization scheduling technology for multiregion virtual power plants based on improved Grey Wolf Optimization Algorithm
To promote the realization of the"dual carbon"goal,the distributed new energy in different regions of the virtual power plant is coordinated and optimized through low-carbon power generation.A multi region virtual power plant coordinated and optimized scheduling technology based on the Grey Wolf Optimization Algorithm is proposed.Firstly,construct an operational optimization model with the best economic benefits,connecting virtual power plants in different regions with distributed new energy,and jointly scheduling wind and solar power generation units and carbon capture units;Secondly,due to the difficulty in solving,strong nonlinearity,and high dimensionality of the constructed model,the advantages of the Grey Wolf Optimization Algorithm such as high search efficiency,fast convergence speed,and few optimization parameters are utilized to optimize the model.At the same time,an improved Grey Wolf Optimization Algorithm is proposed to improve the algorithm's global optimization ability and solve the problem of premature and local optima in the later stage of the algorithm;Finally,through simulation verification,the proposed method can achieve optimal scheduling of virtual power plants in different regions,reducing carbon emissions and net costs.
low carbon electricityvirtual power plantdistributed new energyGrey Wolf Optimization Algorithmoptimize scheduling
万方数据
维普
