Comparative analysis of dynamic pricing schemes in distributed energy management of residential users in smart grid

Increasing power demand, greenhouse gas emissions, and the old infrastructure are serious concerns in existing system. With advent of smart grid, demand response (DR) has emerged as an effective approach to handle these issues. The selection appropriate DR program is vital acquire maximum benefits for utility consumers. In this context, a distributed energy management scheme residential consumers presented analyzed observe impact different pricing schemes. three dynamic schemes considered work based on linear function, logarithmic penalty-based function aggregated load. A non-cooperative game used formulate problem Nash equilibrium obtained using proximal decomposition algorithm. results cases presence storage device, dispatchable generation unit, two modes operation electric vehicle. best chosen minimum cost, peak-to-average ratio system load profile, consumer comfort.