Optimization of microgrid scheduling based on pareto solution set

To solve the multi-objective problem of microgrid scheduling, it can be comprehensively considered from three aspects: economy, technology and environment. In terms of evaluation, an economic index model is established to minimize power generation and transaction costs, and a technical index model with minimum network loss and an environmental index model with the lowest pollution gas treatment costs is adopted. In order to select an optimal combination strategy, Pareto optimal solution method is used to solve the multi-objective optimization problem of microgrid, and a double positive distance decision method (ECDPD-MCDM) considering equivalence is proposed to select a reasonable compromise optimal solution for decision makers. The experimental results show that the proposed selection strategy can select a reasonable compromise optimal solution from the optimal solution set, and embodies certain preference.