Determination of Energy Storage Capacity Requirement for a Hybrid Renewable Power Generation System
Okoye, Akachukwu Hyacienth
Electrical and Electronics Engineering, Niger Delta University, Nigeria.
Ainah, Priye Kenneth *
Electrical and Electronics Engineering, Niger Delta University, Nigeria.
IBE, Anthony Ogbonnaya
Electrical and Electronics Engineering, Niger Delta University, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
The sector of energy storage is increasingly becoming prominent in the context of renewable energy applications. The objective of this study was to ascertain the necessary energy storage capacity for a hybrid renewable power producing system. The utilization of the Bat optimization algorithm improved the sizing strategy by reducing the financial costs and mitigating losses in the system, particularly in relation to load shedding and wind curtailment. The study examined and analysed five primary categories of battery systems. The evaluation and comparison of these entities were conducted using techno-economic and environmental parameters within the context of the Nigerian power market scenario. The findings of the study indicate that the lead-acid battery exhibits the lowest investment costs and quickest payback times. Additionally, the NaS battery demonstrated superior state of charge (SOC) characteristics and the highest net present value (NPV) when compared to the lead-acid battery. Therefore, they offer an improved solution characterised by decreased maintenance issues and an extended lifespan. Despite their high efficiency, Li-ion batteries are considered less favourable due to their significant capital investment requirements. Flow batteries have been shown to have limited advantages due to their high initial costs. The study thus suggests that in order to address energy deficit, it is imperative to stimulate the adoption of grid and off-grid renewable energy technology systems through various mechanisms, such as subsidies.
Keywords: Energy storage, energy applications, power generation
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Dipti D. A Review on Unit Sizing, Optimization and Energy Management of HRES. Int. J. Trend Sci. Res. Dev. 2018; 2:419–426.
Alkafaji AS, Al-Samawi AA, Trabelsi H. Hybrid Energy Storage Review for Renewable Energy System Technologies and Applications. In Proceedings of the 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD), Monastir, Tunisia. 2021;22–25;1059–1067.
Maleki A, Pourfayaz F. Sizing of stand-alone photovoltaic/wind/diesel system with battery and fuel cell storage devices by harmony search algorithm,” Journal of Energy Storage. 2015;2:30–42.
Han X, Liao S, Ai X, Yao W. Determining the minimal power capacity of energy storage to accommodate renewable generation. Energies. 2017;10(4):468.
Gan J, Li J, Qi W, Kurban A, He Y, Guo S. A review on capacity optimization of hybrid renewable power system with energy storage. E3s Web of Conferences. 2019; 118:02055 Available:https://doi.org/10.1051/e3sconf/201911802055
Chen Z, Zhang Z, Kong W, Xu D. Optimal allocation of energy storage capacity in distributed micro-grid based on improved whale algorithm. Journal of Physics Conference Series. 2023; 2503(1): 012096.
Lv X, Wang Z, Li Z, Shao Y, Cheng Z, Hao L. Research on optimal ratio of wind-pv capacity and energy storage optimization configuration of regional power grid. Journal of Physics Conference Series.2023;2418(1):012044.
Li Y, Cai H. Improving voltage profile of unbalanced low‐voltage distribution networks via optimal placement and operation of distributed energy storage systems. Iet Renewable Power Generation; 2022.
Available:https://doi.org/10.1049/rpg2.12485
Guo Y, Li F, Tian X, Zhang H, Li W, Wang X, Zhao W. Study on the influence of different energy storage modes on the confidence capacity of renewable energy. E3s Web of Conferences. 2022;360: 01046. Available:https://doi.org/10.1051/e3sconf/202236001046
Mills A, Rodriguez P. A simple and fast algorithm for estimating the capacity credit of solar and storage. Energy. 2020;210: 118587 Available:https://doi.org/10.1016/j.energy.2020.118587.
Manoj K. MV, Mishra MK, Kumar C. A grid-connected dual voltage source inverter with power quality improvement features. IEEE Trans Sustainable Energy. 2015; 6(2):482–90.
Ammari C, Belatrache D, Touhami B, Makhloufi S. Sizing, optimization, control and energy management of hybrid renewable energy system—A review. Energy Built Environ. 2021;3: 399–411.
Dicorato G, Forte M, Pisani M, Trovato M. Planning and operating combined wind-storage system in electricity market,” IEEE Transactions on Sustainable Energy. 2012; 3(2):209–217, 2012.
Dufo-Lopez R. Optimisation of size and control of gridconnected storage under real time electricity pricing conditions,” Applied Energy. 2015;140:395–408.
Hemmati R, Saboori H. Emergence of hybrid energy storage systems in renewable energy and transport applications – a review. Renewable and Sustainable Energy Reviews. 2016;65:11-23.
Available:https://doi.org/10.1016/j.rser.2016.06.029
Li SS. Choi YY uan Q. Yao DL. On the determination of battery energy storage capacity and short-term power dispatch of a wind farm,” IEEE Transactions on Sustainable Energy. 2011; 2(2):148–158.
Ma H, Yang T, Lu L. A feasibility study of a stand-alone hybrid solar–wind–battery system for a remote island, Applied Energy. 2014;121:149–158.
Maleki A, Askarzadeh A. Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region: a case study of Rafsanjan, Iran,” Sustainable Energy Technologies and Assessments. 2014;7:147–153.
Mazzeo D, Matera N, De Luca P, Baglivo C, Congedo PM, Oliveti G. A literature review and statistical analysis of photovoltaic-wind hybrid renewable system research by considering the most relevant 550 articles: An upgradable matrix literature database. J. Clean. Prod. 2021; 295:126070.
Zhao Q, Wu S, Hu H, Xu, CN. Rasmussen H. Review of energy storage system for wind power integration support, Applied Energy. 2015;137:545–553.