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Energies 2018, 11(1), 190; https://doi.org/10.3390/en11010190

An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid

1
Center for Advanced Studies in Engineering (CASE), Islamabad 44000, Pakistan
2
COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
3
SEECS, National University of Science and Technology (NUST), Islamabad 44000, Pakistan
4
Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia.
*
Author to whom correspondence should be addressed.
Received: 19 December 2017 / Revised: 7 January 2018 / Accepted: 8 January 2018 / Published: 12 January 2018
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Abstract

The traditional power grid is inadequate to overcome modern day challenges. As the modern era demands the traditional power grid to be more reliable, resilient, and cost-effective, the concept of smart grid evolves and various methods have been developed to overcome these demands which make the smart grid superior over the traditional power grid. One of the essential components of the smart grid, home energy management system (HEMS) enhances the energy efficiency of electricity infrastructure in a residential area. In this aspect, we propose an efficient home energy management controller (EHEMC) based on genetic harmony search algorithm (GHSA) to reduce electricity expense, peak to average ratio (PAR), and maximize user comfort. We consider EHEMC for a single home and multiple homes with real-time electricity pricing (RTEP) and critical peak pricing (CPP) tariffs. In particular, for multiple homes, we classify modes of operation for the appliances according to their energy consumption with varying operation time slots. The constrained optimization problem is solved using heuristic algorithms: wind-driven optimization (WDO), harmony search algorithm (HSA), genetic algorithm (GA), and proposed algorithm GHSA. The proposed algorithm GHSA shows higher search efficiency and dynamic capability to attain optimal solutions as compared to existing algorithms. Simulation results also show that the proposed algorithm GHSA outperforms the existing algorithms in terms of reduction in electricity cost, PAR, and maximize user comfort. View Full-Text
Keywords: smart grid; demand side management; embedded systems; home energy management system; real time electricity pricing smart grid; demand side management; embedded systems; home energy management system; real time electricity pricing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Hussain, H.M.; Javaid, N.; Iqbal, S.; Hasan, Q.U.; Aurangzeb, K.; Alhussein, M. An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid. Energies 2018, 11, 190.

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