A New Approach Based on Indicators for Demand Side Management in Multiobjective Framework

摘要

This paper proposes a new approach based on indicators for demand side management (DSM) in a multiobjective environment. The proposed approach determines the best possible solution based on the achievement of multiobjective DSM (MODSM) in a power network. The use of this framework is showed through simulation performed in a grid tide microgrid context. The acquired microgrid made up of three units of diesel generators and two renewable energy sources. Due to its simplicity and effectiveness, non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) has been used as optimization tool. The simulation has been performed for mean wind and mean solar power obtainability. The proposed framework helps in decision making to the operator to choose a best solution among multiple available solutions.