Optimal Scheduling of TCL and Storage Devices for Demand Side Management: A Game Theoretic Approach

The future grid encourages the integration of renewable energy sources (RES) with the power grid to mitigate the problem of demand-supply mismatch. However, the stochastic nature of RES along with randomness in load demand gives rise to uncertainties in the grid, in turn, the mismatch in demand-supply, which can deteriorate the voltage profiles and system performance. Flattening of load curve at demand side overcomes this demand-supply mismatch problem. In this paper, the decentralized load control problem is solved by a game theoretic approach where every customer is driven to optimize the use of RES, a battery storage system (BSS), electrical vehicle (EV), and thermostatically controlled loads (TCL), to map the demand-supply requirement. The proposed scheme smoothens the consumers' load profile, which ensures an optimal solution in real-time.