OPTIMUM ENERGY MANAGEMENT SYSTEM IN SMART GRID POWER SYSTEM USING QDSA

Abstract

The conventional grid is insufficient to handle the modern day challenges as the modern grid demands the conventional grid to be more flexible, cost efficient and more trust worthy. The concept of smart grid is emanated and different methods to overcome the conventional needs which made the smart grid better than conventional grid. One of the important parts of the smart grid is home energy management system (HEMS) increases the energy efficiency of electricity model in residential avenues. In this context, a novel algorithm, Efficient Home Energy Management controller (EHEMC) by using the Quantum Dolphin Swam Algorithm is proposed for reducing cost and maximization of user comfort. This algorithm deals with the single and multiple homes with Real Time Electricity Pricing (RTEP). For the set of multiple homes, modes of operations are bifurcated with respect to the usage of energy at dynamically changing time periods. The optimization issue is resolved by the Meta-heuristic algorithms. These algorithms include; Genetic Algorithms (GA), Harmony Search Algorithm (HAS), Wind-Driven Algorithm (WDA), Mine blast Algorithm (MBA), Particle Swam Optimization (PSO), Dolphin Swam Algorithm (DSA) and the proposed Quantum Dolphin Swam Algorithm (QDSA). All of these meta-heuristic algorithms have own limitations and performance criteria. As compare to all applied algorithms, the proposed algorithm QDSA is more efficient, reliable and able to provide the optimized solution of demands side problem. MATLAB simulation results show that QDSA is performed better than GA and PSO in Cost per unit, User comfort parameters.