Day-ahead scheduling problem of smart micro-grid with high penetration of wind energy and demand side management strategies

In this paper, the day-ahead scheduling problem of a smart microgrid (SMG) is modeled as a multi-objective function consisting of: i) minimizing the operation cost and the emission pollution in generation side ii) minimizing the load curtailment cost with the strategic conversion of curtailable loads (CLs) and iii) coordinating of shiftable loads (SLs) and the output power of wind turbines (WTs). The second and the third objectives present a new approach of Demand Side Management (DSM) strategies to improve the customer's satisfaction (CS) and the WT penetration (WTP) using stimulation of customers to use their loads regarding the demand profile of the system. Also, the output power of WTs is considered as the stochastic model, and the participation of the SLs based on the availability of WTs output power are scheduled. To confirm the proposed approach, all objective functions are optimized by the epsilon-constraint approach in the GAMS optimization software and the best solution of the non-dominated Pareto solutions is selected using the decision-making method. To investigate the effectiveness of the proposed model, it is applied on a 24-node microgrid through four case studies.