This paper presents a collaborative strategy for energy management in multiple microgrids. The proposed strategy considers the daily system cost, unsupplied energy, and microgrid autonomy to achieve the best planning for the microgrids. The microgrid operator divides its objectives into primary and secondary objectives to prioritize them. Since the total cost of the microgrids is of great importance, it is considered as the primary objective. However, unsupplied energy and microgrid autonomy are considered as secondary objectives that can be optimized in a limited space. This collaborative strategy allows microgrids to share their local resources and minimize the total system cost. Stochastic optimization is performed to manage the uncertainty of market prices and renewable production. Also, the Pareto optimal solutions are ranked based on their similarity to the ideal solution using a pairwise comparison matrix and prioritization technique. To evaluate the effectiveness of the proposed strategy, this method is tested on a multi-microgrid prototype system. Simulation results show that the proposed model improves the amount of unsupplied energy, losses, and system autonomy.
Monemi Bidgoli M, davari M M. Stochastic energy scheduling in multiple microgrid systems considering independence index and energy not supply index. IJE 2024; 27 (2) :67-87 URL: http://necjournals.ir/article-1-1943-en.html