Abstract
The concept of Virtual Power Plant (VPP) provides flexibility in the operation of current Smart Grid (SG) based electric power systems. Demand Side Management (DSM) programs present a lot of scope in the optimization of the load consumption and curtailing of loads during peak usage periods. VPP and DSM together enable communication-based dispatching of loads depending upon the consumption pattern of consumers and generation capacity of Distributed Energy Resources (DER). Various optimization techniques have been proposed for efficient and cost-effective dispatch schedules within the intended power networks. In this paper, a Genetic Algorithm (GA) based optimization approach is presented to allow for reduction of the overall cost of the market price of electricity and reduction of burden during peak periods of use after integration of DERs and Demand Response (DR) strategy.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
