互联微电网中考虑灵活多能需求的最优能量调度

This article presents an economical and sustainable, stochastic, multi-objective energy management strategy for an interconnected multi-microgrid system with flexible multi-energy demands, battery energy storage systems, and plug-in hybrid electric vehicles. A novel, smart prosumer-oriented hybrid demand response program is proposed, which fosters the interests of the prosumers in the interconnected microgrids by motivating them to participate in the demand response program of their choice. The walrus optimization algorithm is harnessed to furnish a suitable trade-off solution to the energy dispatch problem with multiple conflicting objectives, including minimization of the daily operational expenses, emissions, and power losses, as well as maximization of the daily independence performance index of the interconnected microgrids. The modification of the consumption patterns of the prosumers due to the implementation of the hybrid demand response program, together with the determination of the daily independence performance index, incorporates the impact of both price-responsive electrical and heat loads. Each evaluation of the objective function involves the probabilistic power flow solution using the point estimate method by representing the uncertain generation and load variables using suitable probability density functions. The results ratify the effectiveness of the optimal energy scheduling algorithm under the influence of the hybrid demand response program.