Abstract
Recently, due to increase of environmental pollution and greenhouse gases, policy makers of electricity industry are forced to consider both of economic and environment performance of renewable energy resources and local dispatchable generators (LDG) in the scheduling problems. This study presents a bi-objective optimization algorithm to optimal scheduling of MG by considering both of operational and environmental costs. The proposed MG includes of combined heat and power (CHP), boiler, heat storage, solar parking lot (SPL), LDG and is considered in grid connected mode. Time of use (TOU) based demand response program (DRP) is employed to modify daily load curve and transfer loads consume from on-peak time to others. To solve such a problem, ε-constraint and fuzzy decision making methods are utilized. The proposed approach is written as mixed-integer linear programming (MILP) being solved by general algebraic modeling system (GAMS). Simulation results verify the efficiency of proposed technique in reducing both of operational and environmental cost under employing DRP up to 2%, 12.45%, respectively.
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