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Hybrid energy system optimization with battery storage for remote area application considering loss of energy probability and economic analysis

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  • Naderipour, Amirreza
  • Ramtin, Amir Reza
  • Abdullah, Aldrin
  • Marzbali, Massoomeh Hedayati
  • Nowdeh, Saber Arabi
  • Kamyab, Hesam

Abstract

In this paper, an optimized stand-alone hybrid energy system consists of photovoltaic (PV) arrays, wind turbines (WT), and battery (BA) storage (HPV/WT/BA) presented with the objective of total net present cost (TNPC) minimization subjected to loss of energy probability (LOEP) considering the effect of interest rate (IR) changes. The hybrid system optimization is done based on real annual data of irradiance, wind speed, temperature and demand of a remote site. The main goal of the optimization is optimal sizing of the hybrid system components as the number of PVs, WTs, and batteries and transferred power to load by the inverter with minimizing the TNPC and satisfying the LOEP. A new method named improved grasshopper optimization algorithm (IGOA) based on a nonlinearly decreasing inertia weight strategy is applied for the determination of optimal sizing of the system with the lowest TNPC and best LOEP. Energy management is adapted with the operation of the hybrid system based on load following strategy (LFS). The results showed that the proposed methodology based IGOA finds the HPV/BA system as an optimal combination to supply the site demand with the lowest TNPC and better reliability. The superiority of the IGOA is confirmed in comparison with conventional GOA and well-known particle swarm optimization (PSO) methods in achieving an optimal solution with lower cost and higher reliability. The results of considering IR changes effect are cleared that the LOEP and cost of energy (COE) are increased by 0.56% and 5.37%, respectively and TNPC is decreased by 1.66% due to 1% increasing the IR in optimization of the HPV/BA system. So, the results of interest rate changes indicate a significant effect on the system cost and reliability. Moreover, with increasing the storage capital cost, the TNPC and COE are increased and the reliability level is dropped.

Suggested Citation

  • Naderipour, Amirreza & Ramtin, Amir Reza & Abdullah, Aldrin & Marzbali, Massoomeh Hedayati & Nowdeh, Saber Arabi & Kamyab, Hesam, 2022. "Hybrid energy system optimization with battery storage for remote area application considering loss of energy probability and economic analysis," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025512
    DOI: 10.1016/j.energy.2021.122303
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    1. Heydari, Ali & Askarzadeh, Alireza, 2016. "Optimization of a biomass-based photovoltaic power plant for an off-grid application subject to loss of power supply probability concept," Applied Energy, Elsevier, vol. 165(C), pages 601-611.
    2. Ramli, Makbul A.M. & Bouchekara, H.R.E.H. & Alghamdi, Abdulsalam S., 2018. "Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 400-411.
    3. Fodhil, F. & Hamidat, A. & Nadjemi, O., 2019. "Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria," Energy, Elsevier, vol. 169(C), pages 613-624.
    4. Javed, Muhammad Shahzad & Zhong, Dan & Ma, Tao & Song, Aotian & Ahmed, Salman, 2020. "Hybrid pumped hydro and battery storage for renewable energy based power supply system," Applied Energy, Elsevier, vol. 257(C).
    5. Baghaee, H.R. & Mirsalim, M. & Gharehpetian, G.B. & Talebi, H.A., 2016. "Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system," Energy, Elsevier, vol. 115(P1), pages 1022-1041.
    6. Ghorbani, Narges & Kasaeian, Alibakhsh & Toopshekan, Ashkan & Bahrami, Leyli & Maghami, Amin, 2018. "Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability," Energy, Elsevier, vol. 154(C), pages 581-591.
    7. Gharavi, H. & Ardehali, M.M. & Ghanbari-Tichi, S., 2015. "Imperial competitive algorithm optimization of fuzzy multi-objective design of a hybrid green power system with considerations for economics, reliability, and environmental emissions," Renewable Energy, Elsevier, vol. 78(C), pages 427-437.
    8. García-Villoria, Alberto & Domenech, Bruno & Ferrer-Martí, Laia & Juanpera, Marc & Pastor, Rafael, 2020. "Ad-hoc heuristic for design of wind-photovoltaic electrification systems, including management constraints," Energy, Elsevier, vol. 212(C).
    9. Tooryan, Fatemeh & HassanzadehFard, Hamid & Collins, Edward R. & Jin, Shuangshuang & Ramezani, Bahram, 2020. "Smart integration of renewable energy resources, electrical, and thermal energy storage in microgrid applications," Energy, Elsevier, vol. 212(C).
    10. Askarzadeh, Alireza, 2017. "Distribution generation by photovoltaic and diesel generator systems: Energy management and size optimization by a new approach for a stand-alone application," Energy, Elsevier, vol. 122(C), pages 542-551.
    11. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Mirjalili, Seyedali, 2020. "Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system," Renewable Energy, Elsevier, vol. 153(C), pages 1330-1345.
    12. Xun Zhang & Juelong Li & Jianchun Xing & Ping Wang & Qiliang Yang & Ronghao Wang & Can He, 2014. "Optimal Sensor Placement for Latticed Shell Structure Based on an Improved Particle Swarm Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-12, June.
    13. Upadhyay, Subho & Sharma, M.P., 2016. "Selection of a suitable energy management strategy for a hybrid energy system in a remote rural area of India," Energy, Elsevier, vol. 94(C), pages 352-366.
    14. Zhang, Ge & Shi, Yong & Maleki, Akbar & A. Rosen, Marc, 2020. "Optimal location and size of a grid-independent solar/hydrogen system for rural areas using an efficient heuristic approach," Renewable Energy, Elsevier, vol. 156(C), pages 1203-1214.
    15. Hadidian Moghaddam, Mohammad Jafar & Kalam, Akhtar & Nowdeh, Saber Arabi & Ahmadi, Abdollah & Babanezhad, Manoochehr & Saha, Sajeeb, 2019. "Optimal sizing and energy management of stand-alone hybrid photovoltaic/wind system based on hydrogen storage considering LOEE and LOLE reliability indices using flower pollination algorithm," Renewable Energy, Elsevier, vol. 135(C), pages 1412-1434.
    16. Lin, Xing-Min & Kireeva, Natalia & Timoshin, A.V. & Naderipour, Amirreza & Abdul-Malek, Zulkurnain & Kamyab, Hesam, 2021. "A multi-criteria framework for designing of stand-alone and grid-connected photovoltaic, wind, battery clean energy system considering reliability and economic assessment," Energy, Elsevier, vol. 224(C).
    17. Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
    18. Amirreza Naderipour & Zulkurnain Abdul-Malek & Mohammad Reza Miveh & Mohammad Jafar Hadidian Moghaddam & Akhtar Kalam & Foad. H. Gandoman, 2018. "A Harmonic Compensation Strategy in a Grid-Connected Photovoltaic System Using Zero-Sequence Control," Energies, MDPI, vol. 11(10), pages 1-18, October.
    19. Ghaffari, Abolfazl & Askarzadeh, Alireza, 2020. "Design optimization of a hybrid system subject to reliability level and renewable energy penetration," Energy, Elsevier, vol. 193(C).
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