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:: Volume 10, Issue 1 (4-2021) ::
ieijqp 2021, 10(1): 52-61 Back to browse issues page
Investigation of the effects of residential battery storage deployment on peak-shaving performance
Mahdi Zarif * 1, Mohammad Alishahi , Abolfazl Ghasemi
1- Department of electricity, Mashhad Branch, Islamic Azad University, Mashhad, Ira
Abstract:   (2118 Views)
Peak-shaving and load leveling have been one of the most important issues of power system.  There are some ways to reduce and smooth out peak loads. With the development of microgrid and smart grid concepts, installation of distributed generation (DG) and renewable energy resources as well as distributed battery storages, which are rapidly increasing on modern distribution grid, have been introduced as one of the solution for this issue. This paper aims to assess the effects of residential battery storage deployment on the peak demand shaving. The problem is formulated as a mixed-integer linear programming (MILP) and implemented in GAMS. The results show that the optimal charge/discharge scheduling of residential battery storages could reduce peak demand and make the load profile smoother.
Keywords: Energy scheduling, optimization, battery storage, peak-shaving
Full-Text [PDF 740 kb]   (579 Downloads)    
Type of Study: Research |
Received: 2020/09/21 | Accepted: 2020/12/30 | Published: 2021/04/6
References
1. [1]. Uddin. M et. al., "A review on peak load shaving strategies" Renewable and Sustainable Energy Reviews, Vol. 82, pp. 3323-3332, 2018. [DOI:10.1016/j.rser.2017.10.056]
2. [2]. "Battery energy storage for smart grid applications", Eurobat report, 2013.
3. [3]. Torriti, J, "Price-based demand side management: Assessing the impacts of time-of-use tariffs on residential electricity demand and peak shifting in Northern Italy" Energy, Vol. 44, pp. 576-583, 2012 [DOI:10.1016/j.energy.2012.05.043]
4. [4] Karmiris G, et al., "Peak shaving control method for energy storage", Corporate Research Center Vasterås Sweden.
5. [5]. Venu. C, Riffonneau Y., et al., "Battery Storage System sizing in distribution feeders with distributed photovoltaic systems", PowerTech, IEEE Bucharest , pp.1-5, 2009. [DOI:10.1109/PTC.2009.5282093]
6. [6]. Mattern. K., et al. "Application of inverter-based systems for peak shaving and reactive power management", Transmission and Distribution Conference and Exposition, 2008. [DOI:10.1109/TDC.2008.4517244]
7. [7]. Rodrigo M., et al., "Optimal Component Sizing for Peak Shaving in Battery Energy Storage System for Industrial Applications", Energies, Vol. 11, pp. 1-22, 2018. [DOI:10.3390/en11082048]
8. [8]. Tant J.J., et al., "Driesen, J. Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids", IEEE Trans. on Sust. Energy, Vol.4, pp. 182-191, 2013. [DOI:10.1109/TSTE.2012.2211387]
9. [9] Merei. G., et. al, "Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications", Applied Energy, Vol. 168, pp. 171-178, 2016. [DOI:10.1016/j.apenergy.2016.01.083]
10. [10]. Zarif, M., Khaleghi, S., Javidi, M.H.: 'Assessment of electricity price uncertainty impact on the operation of multi-carrier energy systems', IET Gener. Transm. Distrib., Vol. 9, pp. 2586-2592, 2015. [DOI:10.1049/iet-gtd.2015.0837]
11. [11]. Ghasemi, A., Banejad, M., Rahimiyan, M., "Integrated energy scheduling under uncertainty in a micro energy grid", IET Gener. Transm. & Distrib., Vol.12, pp. 2887 - 2896, 2018. [DOI:10.1049/iet-gtd.2017.1631]



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zarif M, alishahi M, ghasemi A. Investigation of the effects of residential battery storage deployment on peak-shaving performance. ieijqp 2021; 10 (1) :52-61
URL: http://ieijqp.ir/article-1-773-en.html


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Volume 10, Issue 1 (4-2021) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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