Responsive loads effects on maintenance scheduling of generators using lexicographic technique

This paper proposes a novel mechanism for maintenance scheduling of generating units in the smart environment concentrating on Demand Response Resources (DRRs). DRRs as virtual power plants in energy policy decisions affect the controllability of power system ranging from short-term to long-term. Here, an economic model of responsive loads based upon price elasticity of demand and customers' benefit function is utilized. The nominated multi objective security constrained Preventive Maintenance (PM) scheduling incorporating Demand Response Programs (DRPs), aims to minimizing total system expenditures and generated emissions over the scheduling time horizon. Total system expenditures include operation and maintenance costs, reserve cost, and total incentive due to participating in DRPs. Utilizing Lexicographic method as one of the Multi Objective Decision Making (MODM) 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 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.