Optimum Hourly Energy Scheduling in Interconnected Renewable Microgrids

This paper presents a strategy for stochastic, multi-objective, hourly energy management in interconnected microgrids with battery energy storage systems and plug-in hybrid electric vehicles. The effectiveness of the stochastic energy dispatch optimization methodology is assessed on the basis of cost and emission minimization, as well as the maximization of the independence performance index of the multi-microgrid system. The probabilistic power flow solution is procured using the point estimate method, considering the impact of the uncertainties associated with the generated renewable power, consumer demand, and electric vehicle charging load. The multi-objective energy dispatch problem is solved using grey wolf optimizer. The impact of price-based demand response is investigated on the optimum energy schedule of the interconnected microgrid system, considering price-responsive electrical and heat loads.