Demand-Response Control in Smart Grids

In the smart grid, electricity price is a key element for all participants in electric power industry. To meet grid’s various goals, Demand-Response (DR) control aims to change consumption behavior of consumers based on dynamic pricing or financial benefits. DR methods are divided into centralized and distributed communication model. control, communicate directly with company, without communicating among themselves. consumer interactions offer data utility about overall consumption. Online auctions systems several software agents working behalf human buyers sellers. The coordination model chosen can have substantial impact performance these agents. Based fair energy scheduling method, we examined Vickrey Dutch models an electronic marketplace both analytically empirically. number messages exchanged between were essential indicators. For simulation, GridSim was used, as it open-source platform that includes capabilities application composition, resource discovery information services, interfaces assigning applications resources. We concluded better than supply-driven world where there abundance power. terms equity, more equitable auctions. This because allow bidders compete equal footing, each bidder having same opportunity win item at lowest possible price. contrast, lead outcomes favor certain over others, may submit bids higher necessary increase their chances winning.