Stochastic energy scheduling of multi-microgrid systems considering independence performance index and energy storage systems

This paper presents a cooperative strategy for the energy management of the networked microgrids. The proposed strategy considers the daily cost of the system, energy not supplied, and the independence of microgrids to determine the best plan for the microgrids. The operator of the microgrids prioritizes its objective to the main and secondary objectives. Since the total cost of microgrids has high importance, it has been considered as the main objective. However, the energy not supplied and the independence of microgrids are the secondary objectives that have the ability to be optimized in a limited space. This cooperative strategy allows microgrids to share their local resources and minimizes the total cost of microgrids. Stochastic optimization is performed to handle the uncertain nature of market prices and renewable generation. Also, the optimal Pareto solutions are ranked using the paired comparison matrix and technique for order of preference by similarity to ideal solution. To evaluate the efficiency of the proposed strategy, it has been tested on a sample multi-microgrid system. The simulation results show that the proposed model is able to improve the amount of energy supplied, power losses, and independence of the system by 71.5 %, 8.19 %, and 4%, respectively.

Automated summary

This paper presents a cooperative strategy for the energy management of networked microgrids that prioritizes the total cost of microgrids as the main objective, and energy not supplied and the independence of microgrids as secondary objectives. Through stochastic optimization and ranking optimal Pareto solutions, the proposed strategy is shown to improve energy supplied, power losses, and system independence by significant percentages.