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

被引:8
|
作者
Asghar, Faran [1 ]
Zahid, Adnan [2 ]
Hussain, Muhammad Imtiaz [3 ,4 ]
Asghar, Furqan [2 ]
Amjad, Waseem [2 ]
Kim, Jun-Tae [5 ]
机构
[1] Nanjing Univ, Sch Informat Management, Nanjing 210023, Peoples R China
[2] Univ Agr Faisalabad, Dept Energy Syst Engn, Faisalabad 38000, Pakistan
[3] Kangwon Natl Univ, Agr & Life Sci Res Inst, Chunchon 24341, South Korea
[4] Kongju Natl Univ, Green Energy Technol Res Ctr, Cheonan 31080, South Korea
[5] Kongju Natl Univ, Dept Architectural Engn, Cheonan 31080, South Korea
基金
新加坡国家研究基金会;
关键词
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); CONSUMPTION; SERVICES; DISPATCH;
D O I
10.3390/su14148788
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:19
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