energies Article An Optimization Based Power Usage Scheduling Strategy Using Photovoltaic-Battery System for Demand-Side Management in Smart Grid Sajjad Ali 1,2 , Imran Khan 3 , Sadaqat Jan 4 and Ghulam Hafeez 3,5,* 1 Department of Telecommunication Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan;
[email protected] 2 Department of Telecommunication Engineering, University of Engineering and Technology, Mardan 23200, Pakistan 3 Department of Electrical Engineering, University of Engineering and Technology, Mardan 23200, Pakistan;
[email protected] 4 Department of Computer Software Engineering, University of Engineering and Technology, Mardan 23200, Pakistan;
[email protected] 5 Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad 44000, Pakistan * Correspondence:
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[email protected]; Tel.: +92-300-5003574 or +92-348-8818497 Abstract: Due to rapid population growth, technology, and economic development, electricity demand is rising, causing a gap between energy production and demand. With the emergence of the smart grid, residents can schedule their energy usage in response to the Demand Response (DR) program offered by a utility company to cope with the gap between demand and supply. This work first proposes a novel optimization-based energy management framework that adapts Citation: An Optimization Based consumer power usage patterns using real-time pricing signals and generation from utility and Power Usage Scheduling Strategy photovoltaic-battery systems to minimize electricity cost, to reduce carbon emission, and to mitigate Using Photovoltaic-Battery System peak power consumption subjected to alleviating rebound peak generation. Secondly, a Hybrid for Demand-Side Management in Genetic Ant Colony Optimization (HGACO) algorithm is proposed to solve the complete scheduling Smart Grid.