DEMAND SIDE MANAGEMENT IN DISTRIBUTION SYSTEM

Abstract

Discussions regarding Demand Side Maiiagemcnt(DSM) concept ,significance,types and implementation are initiated on a broad base.This discussion is then backed by its two main classification types namely incentive based and price based schemes, carried out by studying two case studies. Taking forward the price based Demand Response(DR) program, the residential end consumer loads are modeled and their optimal operation is analyzed in real time scheme(RTP) scheme, using a heuristic optimization technique, particle swarm optimization (PSO).The underlying aim of the work is to schedule the loads in the dynamic pricing environment to minimize the operation cost over a day, as the consumer set comfort preferences are not violated.Heat ventilation and air condition-ing(I-IVAC), electric vehicle(EV), electric water heater (EWI-I) are the loads mnodeled.The results show the cost and energy reduction in the proposed scheme as compared to the iioi'iiial operation(on/ofl) . Nevly developed water P1III1I) and UPS-inverter are integrated into the load models. A building case study is taken for analyzing the optimal control of all the loads in the building globally, using PSO.The objective is to minimize the cost of operation of all the devices in the entire building.The comparison between the global and individual optimization show that the cost and energy saving in the global optimization is better than in the individual case as compared to the normal operation.