The electricity infrastructure of smart power systems continue to grow with an establishment of numerous approaches for its improvement in energy efficiency and energy management. Demand Response (DR) is considered as economical and reliable solution in smart power grid for load curve smoothing during electrical system stress. The Demand Response Management (DRM) programs are primarily focused on interactions between a power utility company and its customers to meet out their present and future power demand requirements. In this review paper, the benefit of a bidirectional digital communication infrastructure is achieved in the smart power grid through distributed demand-side energy management system among power customers. The significant role of Demand Response Management (DRM) in a smart grid is to take informed decisions concerning their energy consumption and to assist the energy providers to cut-down the peak load demand and remodel the load profile. Hence it has been turned out to be an exercise in smart grid sustainability enhancement to slow down overall operative cost and carbon emission levels of power generating systems. The fast optimal control of DR strategies based on the target of various optimization methods which have been discussed and categorized in this review paper. The system constraints and computational complexity in applied optimization algorithms are measured as fundamental ideas in the optimization problems.
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Kumar et al. (2020) studied this question.
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