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Hierarchical optimal scheduling of regional integrated energy power system based on multi-objective particle swarm optimization algorithm

In order to improve the operation efficiency of power system and reduce the operation performance of power system, a new hierarchical optimal scheduling method of regional integrated energy power system based on multi-objective particle swarm optimization algorithm is proposed in this paper. Aiming at the economic goal of regional integrated energy power system dispatching, the regional integrated energy power system dispatching objective function is constructed, and the constraints are constructed from three aspects: Branch power flow constraint, upper power grid injection power and power system gas turbine. The multi-objective particle swarm optimization algorithm is used to optimize the optimization model, build the upper and lower optimization models, and the multi-objective particle swarm optimization algorithm is used to complete the optimization. The experimental results show that compared with the traditional optimal scheduling method, the text method can improve the operation efficiency of power system and reduce the operation cost of power system, which shows that the practical application performance of this method is strong.