A Novel Solution for Optimized Energy Management Systems Comprising an AC/DC Hybrid Microgrid System for Industries

Faran Asghar, Adnan Zahid, Muhammad Imtiaz Hussain, Furqan Asghar, Waseem Amjad and Jun-Tae Kim
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Faran Asghar: School of Information Management, Nanjing University, Nanjing 210023, China
Adnan Zahid: Department of Energy Systems Engineering, University of Agriculture, Faisalabad 38000, Pakistan
Muhammad Imtiaz Hussain: Agriculture and Life Sciences Research Institute, Kangwon National University, Chuncheon 24341, Korea
Furqan Asghar: Department of Energy Systems Engineering, University of Agriculture, Faisalabad 38000, Pakistan
Waseem Amjad: Department of Energy Systems Engineering, University of Agriculture, Faisalabad 38000, Pakistan
Jun-Tae Kim: Department of Architectural Engineering, Kongju National University, Cheonan 31080, Korea

Sustainability, 2022, vol. 14, issue 14, 1-19

Abstract: A novel solution for optimized energy management comprising a microgrid system for industries in Pakistan is proposed. The proposed study considered microgrids based on photovoltaics, wind turbines, power storage systems, and dual-fuel (DF) generators as backup. A heuristic methodology with a cuckoo search algorithm (CSA) is presented for efficient power trading by scheduling machines. The study was conducted to prove that CSA is adaptable and flexible for self-governing choices for the efficient management and scheduling of machines and power trade between the microgrid and commercial grid. A mixed integer linear programming algorithm is introduced to optimize the system design problems that control decision making for the ideal operation management. A real-time pricing scheme is utilized for electricity price figures. The simulation results show the efficient performance of the proposed scheme to maximize profitability, reduction in electricity cost, and peak to average ratio. Furthermore, the proposed optimization technique was compared with a highly in-use strawberry algorithm to prove the supremacy of the proposed technique. The proposed efficient and robust energy management system was implemented in Shafi Dyeing Industry, Faisalabad, to validate the simulated model.

Keywords: microgrid (MG); cuckoo search algorithm (CSA); strawberry algorithm (SA); energy management system (EMS); mixed integer linear programming (MILP); power storage systems (PSS); peak to average ratio (PAR); real-time pricing (RTP) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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