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.
