IDEAS home Printed from https://ideas.repec.org/a/sae/engenv/v33y2022i5p933-951.html

Optimum sizing and simulation of hybrid renewable energy system for remote area

Author

Listed:
  • Animesh Masih
  • HK Verma

Abstract

In current scenario, people tend to move towards outskirts and like to settle in places that are close to nature. But, due to urban lifestyle and to fulfill the basic needs, demand of electricity remains the same as in urban areas. This demand of electricity can be only fulfilled by using hybrid renewable energy resources, which is easily available in outskirts. Renewable energy resources are unreliable and more expensive. Researchers are working to make, it more reliable and economic in terms of utilization. This article proposes a metaheuristic grasshopper optimization algorithm (GOA) for the optimal sizing of hybrid PV/wind/battery energy system located in remote areas. The proposed algorithm finds the optimal sizing and configuration of remote village load demand that includes house electricity and agriculture. The optimization problem is solved by minimization of total system cost at a desirable level of loss of power supply’s reliability index (LPSRI). The results of GOA are compared with particle swarm optimization (PSO), genetic algorithm (GA) and hybrid optimization of multiple energy resources (HOMER) software. In addition, results are also validated by modeling and simulation of the hybrid energy system and its configurations at different weather conditions-based results. Hybrid PV/wind/battery is found as an optimal system at remote areas and sizing are  N pv = 60 ,  N wind = 10 ,  N bat = 40 , N inv = 20.25  and  N con = 24.13 with cost of energy (COE) (0.3473$/kWh) and loss of power supplies reliability index (LPSRI) (0%). It is clear from the results that GOA based methods are more efficient for selection of optimal energy system configuration as compared to others algorithms.

Suggested Citation

  • Animesh Masih & HK Verma, 2022. "Optimum sizing and simulation of hybrid renewable energy system for remote area," Energy & Environment, , vol. 33(5), pages 933-951, August.
    • Handle: RePEc:sae:engenv:v:33:y:2022:i:5:p:933-951
    DOI: 10.1177/0958305X211030112
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0958305X211030112
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0958305X211030112?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hasan Masrur & Harun Or Rashid Howlader & Mohammed Elsayed Lotfy & Kaisar R. Khan & Josep M. Guerrero & Tomonobu Senjyu, 2020. "Analysis of Techno-Economic-Environmental Suitability of an Isolated Microgrid System Located in a Remote Island of Bangladesh," Sustainability, MDPI, vol. 12(7), pages 1-27, April.
    2. Patel, Alpesh M. & Singal, Sunil Kumar, 2019. "Optimal component selection of integrated renewable energy system for power generation in stand-alone applications," Energy, Elsevier, vol. 175(C), pages 481-504.
    3. Moretti, Luca & Astolfi, Marco & Vergara, Claudio & Macchi, Ennio & Pérez-Arriaga, Josè Ignacio & Manzolini, Giampaolo, 2019. "A design and dispatch optimization algorithm based on mixed integer linear programming for rural electrification," Applied Energy, Elsevier, vol. 233, pages 1104-1121.
    4. Sajid Ali & Choon-Man Jang, 2020. "Optimum Design of Hybrid Renewable Energy System for Sustainable Energy Supply to a Remote Island," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    5. Ghaffari, Abolfazl & Askarzadeh, Alireza, 2020. "Design optimization of a hybrid system subject to reliability level and renewable energy penetration," Energy, Elsevier, vol. 193(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adedayo Owosuhi & Yskandar Hamam & Josiah Munda, 2023. "Maximizing the Integration of a Battery Energy Storage System–Photovoltaic Distributed Generation for Power System Harmonic Reduction: An Overview," Energies, MDPI, vol. 16(6), pages 1-22, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Hussain, Moaid K. & Adzman, Mohd Rafi & Ghazali, Nur Hafizah & Ramli, Makbul A.M. & Khalil Zidane, Tekai Eddine, 2022. "A new optimization strategy for wind/diesel/battery hybrid energy system," Energy, Elsevier, vol. 239(PE).
    2. Das, Barun K. & Tushar, Mohammad Shahed H.K. & Zaman, Forhad, 2021. "Techno-economic feasibility and size optimisation of an off-grid hybrid system for supplying electricity and thermal loads," Energy, Elsevier, vol. 215(PA).
    3. Mokhtara, Charafeddine & Negrou, Belkhir & Settou, Noureddine & Settou, Belkhir & Samy, Mohamed Mahmoud, 2021. "Design optimization of off-grid Hybrid Renewable Energy Systems considering the effects of building energy performance and climate change: Case study of Algeria," Energy, Elsevier, vol. 219(C).
    4. Soheil Mohseni & Alan C. Brent, 2022. "A Metaheuristic-Based Micro-Grid Sizing Model with Integrated Arbitrage-Aware Multi-Day Battery Dispatching," Sustainability, MDPI, vol. 14(19), pages 1-24, October.
    5. Pal, Ankit & Ilango, G. Saravana, 2024. "Design and techno-economic analysis of an off-grid integrated PV-biogas system with a constant temperature digester for a cost-effective rural application," Energy, Elsevier, vol. 287(C).
    6. Fethi Khlifi & Habib Cherif & Jamel Belhadj, 2021. "Environmental and Economic Optimization and Sizing of a Micro-Grid with Battery Storage for an Industrial Application," Energies, MDPI, vol. 14(18), pages 1-17, September.
    7. Engstam, Linus & Janke, Leandro & Sundberg, Cecilia & Nordberg, Åke, 2025. "Optimising power-to-gas integration with wastewater treatment and biogas: A techno-economic assessment of CO2 and by-product utilisation," Applied Energy, Elsevier, vol. 377(PB).
    8. Wang, Yongli & Guo, Lu & Wang, Yanan & Zhang, Yunfei & Zhang, Siwen & Liu, Zeqiang & Xing, Juntai & Liu, Ximei, 2024. "Bi-level programming optimization method of rural integrated energy system based on coupling coordination degree of energy equipment," Energy, Elsevier, vol. 298(C).
    9. Adrian Ioan Felea & Ioan Felea & Calin Radu Hoble, 2023. "Multicriteria Quantification of the Compatibility of the Targets from Romania’s Relevant Strategies with the European Green Deal," Sustainability, MDPI, vol. 15(18), pages 1-14, September.
    10. Shi, Ruifeng & Li, Shaopeng & Zhang, Penghui & Lee, Kwang Y., 2020. "Integration of renewable energy sources and electric vehicles in V2G network with adjustable robust optimization," Renewable Energy, Elsevier, vol. 153(C), pages 1067-1080.
    11. Panagiotis G. Kosmopoulos & Marios T. Mechilis & Panagiota Kaoura, 2022. "Solar Energy Production Planning in Antikythera: Adequacy Scenarios and the Effect of the Atmospheric Parameters," Energies, MDPI, vol. 15(24), pages 1-19, December.
    12. Abdullah Al Abri & Abdullah Al Kaaf & Musaab Allouyahi & Ali Al Wahaibi & Razzaqul Ahshan & Rashid S. Al Abri & Ahmed Al Abri, 2022. "Techno-Economic and Environmental Analysis of Renewable Mix Hybrid Energy System for Sustainable Electrification of Al-Dhafrat Rural Area in Oman," Energies, MDPI, vol. 16(1), pages 1-23, December.
    13. Andrea Micangeli & Davide Fioriti & Paolo Cherubini & Pablo Duenas-Martinez, 2020. "Optimal Design of Isolated Mini-Grids with Deterministic Methods: Matching Predictive Operating Strategies with Low Computational Requirements," Energies, MDPI, vol. 13(16), pages 1-19, August.
    14. Rahmat Khezri & Amin Mahmoudi & Hirohisa Aki & S. M. Muyeen, 2021. "Optimal Planning of Remote Area Electricity Supply Systems: Comprehensive Review, Recent Developments and Future Scopes," Energies, MDPI, vol. 14(18), pages 1-29, September.
    15. Wei, Guomeng & Qu, Zhiguo & Zhang, Jianfei & Chen, Weiwen, 2025. "Techno-economic analysis of zero/negative carbon electricity-hydrogen-water hybrid system with renewable energy in remote island," Applied Energy, Elsevier, vol. 381(C).
    16. 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).
    17. Brumana, Giovanni & Franchini, Giuseppe & Ghirardi, Elisa & Perdichizzi, Antonio, 2022. "Techno-economic optimization of hybrid power generation systems: A renewables community case study," Energy, Elsevier, vol. 246(C).
    18. Xiaobao Yu & Wenjing Zhao, 2023. "Double-layer optimization model for integrated energy system under multiple robustness," PLOS ONE, Public Library of Science, vol. 18(9), pages 1-19, September.
    19. 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).
    20. Juanpera, M. & Ferrer-Martí, L. & Pastor, R., 2022. "Multi-stage optimization of rural electrification planning at regional level considering multiple criteria. Case study in Nigeria," Applied Energy, Elsevier, vol. 314(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:engenv:v:33:y:2022:i:5:p:933-951. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.