A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms

• Published in: IEEE Communications surveys and tutorials Vol. 17; no. 1; pp. 152 - 178
• Main Authors: Vardakas, John S., Zorba, Nizar, Verikoukis, Christos V.
• Format: Journal Article
• Language: English
• Published: IEEE 2015
• Subjects: Electricity; Optimization; Power demand; Pricing; Reliability; Smart grids; pricing methods; optimization algorithms; Smart grid; demand response
• ISSN: 1553-877X
• DOI: 10.1109/COMST.2014.2341586

The smart grid concept continues to evolve and various methods have been developed to enhance the energy efficiency of the electricity infrastructure. Demand Response (DR) is considered as the most cost-effective and reliable solution for the smoothing of the demand curve, when the system is under stress. DR refers to a procedure that is applied to motivate changes in the customers' power consumption habits, in response to incentives regarding the electricity prices. In this paper, we provide a comprehensive review of various DR schemes and programs, based on the motivations offered to the consumers to participate in the program. We classify the proposed DR schemes according to their control mechanism, to the motivations offered to reduce the power consumption and to the DR decision variable. We also present various optimization models for the optimal control of the DR strategies that have been proposed so far. These models are also categorized, based on the target of the optimization procedure. The key aspects that should be considered in the optimization problem are the system's constraints and the computational complexity of the applied optimization algorithm.