A comprehensive review on energy management strategy of microgrids

被引:57
作者
Allwyn, Rona George [1 ,2 ]
Al-Hinai, Amer [1 ,3 ]
Margaret, Vijaya [2 ]
机构
[1] Sultan Qaboos Univ, ECE Dept, POB 33, Seeb 123, Oman
[2] Christ Deemed Univ, Sch Engn & Technol, Bangalore Kengeri Campus, Bengaluru 560074, India
[3] Sultan Qaboos Univ, Sustainable Energy Res Ctr, POB 17, Seeb 123, Oman
关键词
Demand response; Distributed energy resources; Energy management; Microgrids; Optimization; ECONOMIC-DISPATCH; OPTIMAL OPERATION; DISTRIBUTED GENERATION; OPTIMIZATION ALGORITHM; PREDICTIVE CONTROL; POWER MANAGEMENT; HIGH PENETRATION; FUEL-CELL; SYSTEM; STORAGE;
D O I
10.1016/j.egyr.2023.04.360
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Renewable energy resources are a one-stop solution for major issues that include drastic climate change, environmental pollution, and the depletion of fossil fuels. Renewable energy resources, their allied storage devices, load supplied, non-renewable sources, along with the electrical and control devices involved, form the entity called microgrids. Energy management systems are essential in microgrids with more than one energy resource and storage system for optimal power sharing between each component in the microgrid for efficient, reliable and economic operation. A critical review on energy management for hybrid systems of different configurations, the diverse techniques used, forecasting methods, control strategies, uncertainty consideration, tariffs set for financial benefits, etc. are reviewed in this paper. The novelty of reformer based fuel cells, which generates hydrogen on demand, thereby eliminating the requirement of hydrogen storage and lowest carbon footprint is discussed for the first time in this paper. The topics requiring extended research and the existing gap in literature in the field of energy management studies are presented in the authors' perspective, which will be helpful for researchers working in the same specialization. Papers are segregated based on multiple aspects such as the configuration, in particular, grid-tied, islanded, multi microgrids, the control strategies adopted besides the identification of limitations/factors not considered in each work. Moreover, at the end of each section, the literature gap related to each category of segregated group is identified and presented.(c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:5565 / 5591
页数:27
相关论文
共 153 条
[1]   Ant Lion Optimizer: A Comprehensive Survey of Its Variants and Applications [J].
Abualigah, Laith ;
Shehab, Mohammad ;
Alshinwan, Mohammad ;
Mirjalili, Seyedali ;
Abd Elaziz, Mohamed .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2021, 28 (03) :1397-1416
[2]   Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management [J].
Aghajani, G. R. ;
Shayanfar, H. A. ;
Shayeghi, H. .
ENERGY CONVERSION AND MANAGEMENT, 2015, 106 :308-321
[3]   Multi-objective energy management in a micro-grid [J].
Aghajani, Gholamreza ;
Ghadimi, Noradin .
ENERGY REPORTS, 2018, 4 :218-225
[4]   An Optimal Energy Management Technique Using the ε-Constraint Method for Grid-Tied and Stand-Alone Battery-Based Microgrids [J].
Agnoletto, Elian J. ;
De Castro, Daniel Silva ;
Neves, Rodolpho V. A. ;
Machado, Ricardo Quadros ;
Oliveira, Vilma A. .
IEEE ACCESS, 2019, 7 :165928-165942
[5]   Dynamic Economic Dispatch and Transient Control of Distributed Generators in a Microgrid [J].
Ahmad, Jameel ;
Tahir, Muhammad ;
Mazumder, Sudip K. .
IEEE SYSTEMS JOURNAL, 2019, 13 (01) :802-812
[6]   Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies [J].
Ahmadi, Seyed Ehsan ;
Sadeghi, Delnia ;
Marzband, Mousa ;
Abusorrah, Abdullah ;
Sedraoui, Khaled .
ENERGY, 2022, 245
[7]   Dynamic energy management for photovoltaic power system including hybrid energy storage in smart grid applications [J].
Aktas, Ahmet ;
Erhan, Koray ;
Ozdemir, Sule ;
Ozdemir, Engin .
ENERGY, 2018, 162 :72-82
[8]  
[Anonymous], 2006, TECH REP
[9]  
[Anonymous], 1965, Dynamic programming and modern control theory
[10]   Ant Lion Optimization: Variants, Hybrids, and Applications [J].
Assiri, Adel Saad ;
Hussien, Abdelazim G. ;
Amin, Mohamed .
IEEE ACCESS, 2020, 8 :77746-77764