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Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function

Author

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  • Jae-Hoon Cho

    (Smart Logistics Technology Institute, Hankyong National University, 327 Chungang-ro Anseong-si, Kyonggi-do 17579, Korea)

  • Myung-Geun Chun

    (Department of Electronics Engineering, Chungbuk National University, Chungdae-ro, Seowon-Gu, Cheongju, Chungbuk 28644, Korea)

  • Won-Pyo Hong

    (Department of Building Services Engineering, Hanbat National University, 125 Dongseodae-ro, Yuseong-Gu, Daejeon 34158, Korea)

Abstract

This paper presents a methodology for the size optimization of a stand-alone hybrid PV/wind/diesel/battery system while considering the following factors: total annual cost (TAC), loss of power supply probability (LPSP), and the fuel cost of the diesel generator required by the user. A new optimization algorithm and an object function (including a penalty method) are also proposed; these assist with designing the best structure for a hybrid system satisfying the constraints. In hybrid energy system sources such as photovoltaic (PV), wind, diesel, and energy storage devices are connected as an electrical load supply. Because the power produced by PV and wind turbine sources is dependent on the variation of the resources (sun and wind) and the load demand fluctuates, such a hybrid system must be able to satisfy the load requirements at any time and store the excess energy for use in deficit conditions. Therefore, reliability and cost are the two main criteria when designing a stand-alone hybrid system. Moreover, the operation of a diesel generator is important to achieve greater reliability. In this paper, TAC, LPSP, and the fuel cost of the diesel generator are considered as the objective variables and a hybrid teaching–learning-based optimization algorithm is proposed and used to choose the best structure of a stand-alone hybrid PV/wind/diesel/battery system. Simulation results from MATLAB support the effectiveness of the proposed method and confirm that it is more efficient than conventional methods.

Suggested Citation

  • Jae-Hoon Cho & Myung-Geun Chun & Won-Pyo Hong, 2016. "Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function," Energies, MDPI, vol. 9(8), pages 1-19, August.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:8:p:649-:d:76109
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    References listed on IDEAS

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    Cited by:

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    2. Subhi Tyagi & Nupur Goyal & Akshay Kumar & Mangey Ram, 2022. "Stochastic hybrid energy system modelling with component failure and repair," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 842-852, June.
    3. Mohammed Guezgouz & Jakub Jurasz & Benaissa Bekkouche, 2019. "Techno-Economic and Environmental Analysis of a Hybrid PV-WT-PSH/BB Standalone System Supplying Various Loads," Energies, MDPI, vol. 12(3), pages 1-28, February.
    4. Higinio Sánchez-Sáinz & Carlos-Andrés García-Vázquez & Francisco Llorens Iborra & Luis M. Fernández-Ramírez, 2019. "Methodology for the Optimal Design of a Hybrid Charging Station of Electric and Fuel Cell Vehicles Supplied by Renewable Energies and an Energy Storage System," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    5. Elena Sosnina & Andrey Dar’enkov & Andrey Kurkin & Ivan Lipuzhin & Andrey Mamonov, 2022. "Review of Efficiency Improvement Technologies of Wind Diesel Hybrid Systems for Decreasing Fuel Consumption," Energies, MDPI, vol. 16(1), pages 1-38, December.
    6. Kosai, Shoki & Cravioto, Jordi, 2020. "Resilience of standalone hybrid renewable energy systems: The role of storage capacity," Energy, Elsevier, vol. 196(C).
    7. Thirunavukkarasu, M. & Sawle, Yashwant & Lala, Himadri, 2023. "A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 176(C).
    8. Leszek Kasprzyk & Andrzej Tomczewski & Robert Pietracho & Agata Mielcarek & Zbigniew Nadolny & Krzysztof Tomczewski & Grzegorz Trzmiel & Juan Alemany, 2020. "Optimization of a PV-Wind Hybrid Power Supply Structure with Electrochemical Storage Intended for Supplying a Load with Known Characteristics," Energies, MDPI, vol. 13(22), pages 1-31, November.
    9. Ridha, Hussein Mohammed & Gomes, Chandima & Hazim, Hashim & Ahmadipour, Masoud, 2020. "Sizing and implementing off-grid stand-alone photovoltaic/battery systems based on multi-objective optimization and techno-economic (MADE) analysis," Energy, Elsevier, vol. 207(C).
    10. 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.

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