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Optimal design of a university campus micro-grid operating under unreliable grid considering PV and battery storage

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  • Chedid, Riad
  • Sawwas, Ahmad
  • Fares, Dima

Abstract

This paper proposes a novel methodology for redesigning a micro-grid characterized by a heavy reliance on diesel generators due to receiving power supply from an unreliable grid. The new design aims at phasing out the diesel generators and replacing them with a hybrid energy system composed of photovoltaics and a battery storage system. Two optimization approaches are adopted, a heuristic genetic algorithm approach is used to achieve sub-optimal sizing of the hybrid system sources and a rules-based dynamic programming approach to ensure optimal power flow. In order to reduce the computation time, a novel combinational approach employing genetic algorithm, dynamic programming and rules-based algorithm is proposed. The intervention of the dynamic programming for optimal power flow is restricted to certain active hours within a given day, while the rules-based power flow algorithm runs only outside those hours. The study demonstrates that the application of the hybrid system yields minimal operational cost by almost entirely phasing out the diesel generators and significantly reducing the energy purchased from the grid during peak hours. The micro-grid of a university campus is used as a case study where energy and economic indicators are derived to prove the superiority of the proposed techniques.

Suggested Citation

  • Chedid, Riad & Sawwas, Ahmad & Fares, Dima, 2020. "Optimal design of a university campus micro-grid operating under unreliable grid considering PV and battery storage," Energy, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:energy:v:200:y:2020:i:c:s0360544220306174
    DOI: 10.1016/j.energy.2020.117510
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    References listed on IDEAS

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    Cited by:

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    3. Wu, Kunming & Li, Qiang & Chen, Ziyu & Lin, Jiayang & Yi, Yongli & Chen, Minyou, 2021. "Distributed optimization method with weighted gradients for economic dispatch problem of multi-microgrid systems," Energy, Elsevier, vol. 222(C).
    4. Sanni, Shereefdeen Oladapo & Oricha, Joseph Yakubu & Oyewole, Taoheed Oluwafemi & Bawonda, Femi Ikotoni, 2021. "Analysis of backup power supply for unreliable grid using hybrid solar PV/diesel/biogas system," Energy, Elsevier, vol. 227(C).
    5. Hafiz Abdul Muqeet & Hafiz Mudassir Munir & Haseeb Javed & Muhammad Shahzad & Mohsin Jamil & Josep M. Guerrero, 2021. "An Energy Management System of Campus Microgrids: State-of-the-Art and Future Challenges," Energies, MDPI, vol. 14(20), pages 1-34, October.
    6. Ailton Gonçalves & Gustavo O. Cavalcanti & Marcílio A. F. Feitosa & Roberto F. Dias Filho & Alex C. Pereira & Eduardo B. Jatobá & José Bione de Melo Filho & Manoel H. N. Marinho & Attilio Converti & L, 2023. "Optimal Sizing of a Photovoltaic/Battery Energy Storage System to Supply Electric Substation Auxiliary Systems under Contingency," Energies, MDPI, vol. 16(13), pages 1-17, July.
    7. Krzysztof Zagrajek & Mariusz Kłos & Desire D. Rasolomampionona & Mirosław Lewandowski & Karol Pawlak & Łukasz Baran & Tomasz Barcz & Przemysław Kołaczyński & Wojciech Suchecki, 2023. "Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era," Energies, MDPI, vol. 16(12), pages 1-24, June.
    8. Hafiz Abdul Muqeet & Rehan Liaqat & Mohsin Jamil & Asharf Ali Khan, 2023. "A State-of-the-Art Review of Smart Energy Systems and Their Management in a Smart Grid Environment," Energies, MDPI, vol. 16(1), pages 1-23, January.
    9. Amad Ali & Hafiz Abdul Muqeet & Tahir Khan & Asif Hussain & Muhammad Waseem & Kamran Ali Khan Niazi, 2023. "IoT-Enabled Campus Prosumer Microgrid Energy Management, Architecture, Storage Technologies, and Simulation Tools: A Comprehensive Study," Energies, MDPI, vol. 16(4), pages 1-19, February.
    10. Mohammed Abdullah H. Alshehri & Youguang Guo & Gang Lei, 2023. "Renewable-Energy-Based Microgrid Design and Feasibility Analysis for King Saud University Campus, Riyadh," Sustainability, MDPI, vol. 15(13), pages 1-24, July.

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