Impact of demand side management on the operational cost of microgrids using ABC algorithm

Self-sustaining microgrids (MG) are now possible due to the integration of renewable energy and communication technology in utility. It is essential have an effective management system (EMS) because unpredictable response these resources, uncertainty load variations, market pricing. Only operational expenses been considered while discussing MG’s optimum operation so far. necessary examine potential adding demand-side (DSM) challenges its impact on overall costs peak reduction. This article investigates influence shaping approach that imposed by utility non-dispatchable sources. A stochastic EMS framework developed come up with solution for day-ahead scheduling minimize operating grid-connected MG. Using real-time weather data, four different solar wind power production profiles first step address issue unpredictability. MG design, restrictions, allocating demand side participation data goal function all addressed this second algorithm development. Artificial Bee Colony (ABC) designed third stage find ideal setup DG units maximum electricity dispatch comparing outcomes scenarios without DSM involvement. has shown a 20% participation, proposed may save 62%, according simulation results.