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Sustainability 2018, 10(4), 1245; https://doi.org/10.3390/su10041245

Towards Efficient Energy Management and Power Trading in a Residential Area via Integrating a Grid-Connected Microgrid

1
COMSATS Institute of Information Technology, Islamabad 44000, Pakistan
2
COMSATS Institute of Information Technology, Attock 43730, Pakistan
3
Research Chair of Pervasive and Mobile Computing, College of Computer and Information Sciences, King Saud University, Riyadh 11633, Saudi Arabia
*
Author to whom correspondence should be addressed.
Received: 19 March 2018 / Revised: 12 April 2018 / Accepted: 13 April 2018 / Published: 18 April 2018
(This article belongs to the Special Issue Smart Power Grid for Sustainable Energy Transition)
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Abstract

Demand side management (DSM) is one of the most challenging areas in smart grids, which provides multiple opportunities for residents to minimize electricity cost. In this work, we propose a DSM scheme for electricity expenses and peak to average ratio (PAR) reduction using two well-known heuristic approaches: the cuckoo search algorithm (CSA) and strawberry algorithm (SA). In our proposed scheme, a smart home decides to buy or sell electricity from/to the commercial grid for minimizing electricity costs and PAR with earning maximization. It makes a decision on the basis of electricity prices, demand and generation from its own microgrid. The microgrid consists of a wind turbine and solar panel. Electricity generation from the solar panel and wind turbine is intermittent in nature. Therefore, an energy storage system (ESS) is also considered for stable and reliable power system operation. We test our proposed scheme on a set of different case studies. The simulation results affirm our proposed scheme in terms of electricity cost and PAR reduction with profit maximization. Furthermore, a comparative analysis is also performed to show the legitimacy and productiveness of CSA and SA. View Full-Text
Keywords: cuckoo search algorithm; demand side management; heuristic algorithms; power trading; strawberry algorithm; load management; home energy management cuckoo search algorithm; demand side management; heuristic algorithms; power trading; strawberry algorithm; load management; home energy management
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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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Aslam, S.; Javaid, N.; Khan, F.A.; Alamri, A.; Almogren, A.; Abdul, W. Towards Efficient Energy Management and Power Trading in a Residential Area via Integrating a Grid-Connected Microgrid. Sustainability 2018, 10, 1245.

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