Abstract
Security-constrained preventive maintenance (PM) scheduling is addressed as a crucial issue particularly coping with new challenges of smart grids. Under the smart grid environment, demand response resources (DRRs) are considered as virtual power plants in energy policy decisions, which affect the controllability of the power system, ranging from short term to long term. In this paper, an economic model of responsive loads is represented based upon price elasticity of demand and customers' benefit function. In order to investigate the impacts of DRRs on PM scheduling, a multiobjective security-constrained PM scheduling incorporating demand response programs (DRPs) is introduced. Total system expenditures, including operation and maintenance costs, reserve cost, and total incentive due to participating in DRPs, are contemplated as the first objective; and the second one is generated emissions over the scheduling time horizon. Utilizing the lexicographic method as one of the multiobjective decision-making techniques, the maintenance scheme, commitment status, energy and reserve scheduling are determined along the scheduling horizon. Furthermore, the actual potential for customers' participation in DRPs, optimum locations, and multifarious optimal incentive in per bus are also derived. Several analyses are carried out on the IEEE-RTS to confirm the capability of the proposed framework.
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