Optimization of microgrid scheduling based on pareto solution set

Jian Zhang; Xianwen Zeng; Guige Gao

doi:10.1117/12.3037459

27 September 2024 Optimization of microgrid scheduling based on pareto solution set

Jian Zhang, Xianwen Zeng, Guige Gao

Proceedings Volume 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024); 132753Q (2024) https://doi.org/10.1117/12.3037459
Event: 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 2024, Wuhan, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jian Zhang, Xianwen Zeng, and Guige Gao "Optimization of microgrid scheduling based on pareto solution set", Proc. SPIE 13275, Sixth International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), 132753Q (27 September 2024); https://doi.org/10.1117/12.3037459

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