Intelligent Energy Management in Smart Grid Using Heuristic Optimization Algorithm

Classical economic-emission dispatch considers only conventional generators. But the need of environment sustainability has promoted the penetration of renewable energy sources (RES). RES can help to provide clean energy at decreased generation cost. A major problem faced by generating plants is network reliability issues in power system arising from the peak hour's power demand. Application of demand side management (DSM) measures can help to ease the enormous peak hour's pressure in smart grid system. This paper presents a solution of peak hour's demand management with dynamic economic-emission dispatch (DEED). This paper provides a comparative analysis of the implications of deploying DSM strategies in smart grid system with/without integration of RES. The proposed system uses Grasshopper optimization algorithm to find the solutions. Optimal control of conventional generating units and energy storage system with application of DSM programs demonstrates the potential to diminish the peak overload and economic power dispatch with emission control.