Multi-objective optimization operation of micro energy network with energy storage system based on improved weighted fuzzy method

Abstract

As a terminal type of micro integrated energy system, micro energy network is small in scale and easy to implement, which meets the needs of developing an integrated energy system. Consequently, it has great promotion value. In order to better coordinate the economy, energy conservation and environmental protection of micro energy network, this paper first establishes a multi-objective optimal operation model considering the factors of economy, energy and environment. Second, an improved weighted fuzzy method is proposed to transform the above model into a single-objective one, which can be solved by the particle swarm algorithm. Then, the results and satisfaction of single-objective and multi-objective optimization are compared and analyzed in the example. By optimizing the membership function and multi-objective weight setting method of the traditional weighted fuzzy method, not only the importance of different objectives can be reflected, but also the relationship between single-objective and multi-objective optimization results can be reflected. The proposed improved weighted fuzzy method can improve the comprehensive coordination among multiple objectives and the robustness of the algorithm, optimize the output of each device and realize the coordinated development of energy, environment and economic benefits. It is not only suitable for solving multi-objective optimization problems of micro-energy network, but also for other scenarios.