PSO improved algorithm-based microgrid multi-target operation optimization method

Abstract

The invention discloses a PSO improved algorithm-based microgrid multi-target operation optimization method. A multi-target operation optimization model based on the minimum microgrid operation cost,the minimum pollution emission treatment expenditure and the optimal renewable energy output power fluctuation suppression effect is established; an improved hybrid POS algorithm is adopted for solving the model; according to the algorithm, a particle swarm is divided into multiple sub groups averagely corresponding to multiple optimization targets; next, parent particles with the appointed quantity are selected from each sub group for hybridization; finally, a Pareto solution set is obtained, and the solution set is subjected to standardization sorting to solve a group of accurate optimal solutions; in addition; a judgment threshold value on the environment change is added to the algorithm, so that timelines of the algorithm is further improved, and quick and accurate optimization is realized; and therefore, the microgrid system can make corresponding adjustment according to the environment changes in real time, so as to realize stable, economic and environment friendly operation of the microgrid finally.

Description

technical field [0001] The invention relates to the technical field of micro-grids, in particular to a multi-objective operation optimization method for micro-grids based on an improved PSO algorithm. Background technique [0002] Microgrid is an effective technical means to manage distributed power in smart grid, and its optimal operation has always been a hot research topic at home and abroad. In the process of optimization, it is first necessary to establish a microgrid system model, then set the corresponding constraints, and select one or more indicators as the optimization target according to the optimization requirements of the microgrid, and finally solve the optimal configuration problem through a certain solution method The optimal solution obtained is the optimal configuration scheme. In the selection of optimization objectives, due to the improvement of people's requirements for power supply reliability, safety, and environmental protection of microgrid systems,...

AI Technical Summary

Problems solved by technology

[0004] Distributed power generation has strong volatility, and even mutations will occur in harsh environments. These characteristics will increase the difficulty of solving multi-objective optimization problems in microgrids, and have high requirements for the real-time and rapidity of the optimization solution algorithm. The usual optimization Algorithms and improved optimization algorithms are difficult to guarantee the speed and accuracy of model solving at the same time

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