Optimizing Stochastic Energy Management in Multi-Microgrid Systems Considering Energy Efficiency Improvement Strategies: A Multi-Objective Approach

The integration of renewable energy sources into power systems has led to the development of multi-microgrid systems to play a pivotal role in energy systems. These systems are made of integrated microgrids which can operate autonomously to tackle issues of grid flexibility thus making the grid more flexible. Supply and demand of energy are unpredictable due to the volatile weather conditions, consumption rates as well as changes in the market price, hence the need for a stochastic analysis schedule. This paper examines the stochastic energy scheduling method used in multi-microgrid systems through a comprehensive analysis. The primary contributions include (1) a two-stage stochastic programming framework for multi-microgrid energy management considering the independence index, and ENS simultaneously (2) an innovative method of oxygen extraction during hydrogen conversion to boost energy efficiency and reduce costs; and (3) A taxonomic analysis of superior Pareto solutions which applies the paired comparison matrix alongside the Technique for Order of Priority by Similarity to an Ideal Solution conducts a detailed category assessment. The numerical analysis demonstrates that the implementation of a P2H system alongside the proposed method with multi-energy systems results in a daily cost savings of 763∃.