Jie Li,∗ Yuxiang Peng,∗∗ Zhou Yang,∗ and Juntao Pan∗
Parallel computing, virtual power plant, economic dispatch, differential evolution, multi-objective
In the current complex and uncertain environment of the power system, efficient economic dispatch in virtual power plants is one of the challenges that the power industry urgently needs to solve. A dispatch model with higher adaptability and intelligence needs to be proposed. Therefore, a virtual power plant economic dispatch model based on parallel molecular differential evolution (MDE) algorithm is proposed. The multi-objective MDE algorithm is introduced. Non-inferior sorting and parallel computing theory based on MDE are iterated to obtain the Pareto optimal solution set. Meanwhile, a multi-objective parallel MDE algorithm is proposed based on the hierarchical parallelisation. Experiments showed that the CO2 emissions obtained by the multi-objective MDE algorithm were lower than those obtained by traditional multi-objective MDE and multi-objective differential evolution (MOMDE) algorithms. The net benefits were higher than those obtained by traditional multi- objective MDE and MOMDE algorithms. The proposed virtual power plant economic dispatch model can ensure that the electric energy storage system and the thermal energy storage system operate within a safe range. The virtual power plant economic dispatch model based on parallel MDE algorithm can improve the operational efficiency, reduce costs, promote the effective utilisation of clean energy, and contribute to sustainable energy development.
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