Novel control framework for optimal scheduling in microgrid with demand response support under contingency events

Abstract

This paper presents a new approach to optimize the scheduling of distributed generation resources (DERs) to supply the loads located in a microgrid (MG), with or without the power outage. In this study, the DERs are considered as the wind and solar productions along with diesel generators provided to maintain the power balance in the MG and the upstream network. In the case studies conducted out, it is assumed that an event or a contingency has been occurred in the power grid and then, one or more transmission lines of are likely to go out of circuit. Therefore, due to the participation of customers in optimal demand response (DR) programs and DERs commitment, the operating cost is minimized. The most important feature that helps consumers to minimize the operating costs during safe and faulty modes is the use of incentives tariffs to contribute in DR programs. The simulation results are obtained using modified whale optimization algorithm (MWOA), which produces more accurate response in less simulation time than the existing optimization methods. The analysed case studies and their comparison with other optimization approaches prove the superiority of the proposed scheme to maintain the power grid stability. The simulation results show that at least 5% in power consumption and 11% in total costs could be reduced. Besides, the time taken to run the simulation is almost 13% less than other optimization approaches studied in this paper.