A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

被引：5
作者：
Bakare M.S. [1 ]
Abdulkarim A. [2 ]
Zeeshan M. [1 ]
Shuaibu A.N. [1 ]
机构：
[1] Department of Electrical Engineering, Kampala International University, Ishaka
[2] Department of Electrical Engineering, Faculty of Engineering, Ahmadu Bello University, Zaria
来源：
Energy Informatics | 2023年 / 6卷 / 01期
关键词：
Demand response; Demand side management; Machine language; Optimization techniques; Smart grid;
D O I：
10.1186/s42162-023-00262-7
中图分类号：
学科分类号：
摘要：
Demand-side management, a new development in smart grid technology, has enabled communication between energy suppliers and consumers. Demand side energy management (DSM) reduces the cost of energy acquisition and the associated penalties by continuously monitoring energy use and managing appliance schedules. Demand response (DR), distributed energy resources (DER), and energy efficiency (EE) are three categories of DSM activities that are growing in popularity as a result of technological advancements in smart grids. During the last century, the energy demand has grown significantly in tandem with the increase in the global population. This is related to the expansion of business, industry, agriculture, and the increasing use of electric vehicles. Because of the sharp increase in global energy consumption, it is currently extremely difficult to manage problems such as the characterization of home appliances, integration of intermittent renewable energy sources, load categorization, various constraints, dynamic pricing, and consumer categorization. To address these issues, it is critical to examine demand-side management (DSM), which has the potential to be a practical solution in all energy demand sectors, including residential, commercial, industrial, and agricultural. This paper has provided a detailed analysis of the different challenges associated with DSM, including technical, economic, and regulatory challenges, and has proposed a range of potential solutions to overcome these challenges. The PRISMA reviewing methodology is adopted based on relevant literature to focus on the issues identified as barriers to improving DSM functioning. The optimization techniques used in the literature to address the problem of energy management were discussed, and the hybrid techniques have shown a better performance due to their faster convergence speed. Gaps in future research and prospective paths have been briefly discussed to provide a comprehensive understanding of the current DSM implementation and the potential benefits it can offer for an energy management system. This comprehensive review of DSM will assist all researchers in this field in improving energy management strategies and reducing the effects of system uncertainties, variances, and restrictions. © 2023, The Author(s).
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共 201 条
[1]  
Aalami H.A., Khatibzadeh A., Regulation of market clearing price based on nonlinear models of demand bidding and emergency demand response programs, Int Trans Electr Energy Syst, 26, 11, pp. 2463-2478, (2016)
[2]  
Aalami H., Moghaddam M.P., Yousefi G., Demand response modeling considering interruptible/curtailable loads and capacity market programs, Appl Energy, 87, 1, pp. 243-250, (2010)
[3]  
Aalami H.A., Pashaei-Didani H., Nojavan S., Deriving nonlinear models for incentive-based demand response programs, Int J Electr Power Energy Syst, 106, pp. 223-231, (2019)
[4]  
Abbasi R.A., Javaid N., Khan S., Asif R.M., Ahmad W., (2019)
[5]  
Abideen Z.U., Jamshaid F., Zahra A., Rehman A.U., Razzaq S., Javaid N., (2017)
[6]  
Abualigah L., Diabat A., Advances in sine cosine algorithm: a comprehensive survey, Artif Intell Rev, 54, 4, pp. 2567-2608, (2021)
[7]  
Aghaei J., Alizadeh M.-I., Demand response in smart electricity grids equipped with renewable energy sources: a review, Renew Sustain Energy Rev, 18, pp. 64-72, (2013)
[8]  
Aghajani G., Shayanfar H., Shayeghi H., Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management, Energy Convers Manag, 106, pp. 308-321, (2015)
[9]  
Ahmad A., Khan A., Javaid N., Hussain H.M., Abdul W., Almogren A., Alamri A., Azim Niaz I., An optimized home energy management system with integrated renewable energy and storage resources, Energies, 10, 4, (2017)
[10]  
Ahmad M.F., Isa N.A.M., Lim W.H., Ang K.M., Differential evolution: a recent review based on state-of-the-art works, Alex Eng J, 61, pp. 3831-3872, (2021)
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