RETRACTED ARTICLE: A Decentralized Dynamic Marketing-Based Demand Response Using Electric Vehicles in Smart Grid

Due to different energy storage capabilities of electric vehicles and their unpredicted charging/discharging patterns, the load uncertainty has significantly increased on the utility grid. This load uncertainty has also enabled the elasticity in the power production through intermittent energy resources. This emerging electricity generation elasticity could be used to optimize aggregator load profile by altering real-time demand of a power network, particularly in the premises of a massively EVs surrounded grid. In this paper, we have proposed a demand response algorithm to optimize vehicle to grid (V2G) aggregation, by enabling EVs scheduled charging/discharging, in quest to minimize the energy cost for the retailer, as well as satisfying the electricity market, i.e., day-ahead and instantaneous real-time markets. We have employed a decentralized approach in our proposed scheme, which is accessible, allows fast convergence, and assures consumers’ privacy. The simulation results show that our proposed technique significantly reduces the energy cost, explicitly for a retailer who tends to optimize the power network by penetrating an efficient algorithm. In addition, our algorithm shows more relevance when the grid leniently manages several intermittent energy generation resources. Practically the real-time load variations are uncertain, and are difficult to control, which increases the power and cost variations, and some time ends up as complete system failure. By using this algorithm the energy retailers can offer reliable service and suitable tariffs to consumers, to prove relevancy by restricting such constraints.