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Impact of demand response on the optimal, techno-economic performance of a hybrid, renewable energy power plant

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  • Ihsan, Abbas
  • Jeppesen, Matthew
  • Brear, Michael J.

Abstract

This paper presents a model to optimise the operation of a small-scale, grid-connected, hybrid power plant with and without demand response of the associated load. The model minimises the full cost of supplying electricity from a combination of solar photovoltaic, battery storage, a natural gas fuelled reciprocating engine generator and network delivered electricity, while satisfying several technical and environmental constraints. This includes the use of demand response, historical local solar irradiance and demand traces, constraints on solar photovoltaic, battery and engine performance, full electricity and natural gas tariffs, and the option to participate in the wholesale electricity market.

Suggested Citation

  • Ihsan, Abbas & Jeppesen, Matthew & Brear, Michael J., 2019. "Impact of demand response on the optimal, techno-economic performance of a hybrid, renewable energy power plant," Applied Energy, Elsevier, vol. 238(C), pages 972-984.
    • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:972-984
    DOI: 10.1016/j.apenergy.2019.01.090
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    Cited by:

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    2. Ju, Liwei & Wu, Jing & Lin, Hongyu & Tan, Qinliang & Li, Gen & Tan, Zhongfu & Li, Jiayu, 2020. "Robust purchase and sale transactions optimization strategy for electricity retailers with energy storage system considering two-stage demand response," Applied Energy, Elsevier, vol. 271(C).
    3. Beccali, Marco & Bellia, Laura & Fragliasso, Francesca & Bonomolo, Marina & Zizzo, Gaetano & Spada, Gennaro, 2020. "Assessing the lighting systems flexibility for reducing and managing the power peaks in smart grids," Applied Energy, Elsevier, vol. 268(C).
    4. Ihsan, Abbas & Brear, Michael J. & Jeppesen, Matthew, 2021. "Impact of operating uncertainty on the performance of distributed, hybrid, renewable power plants," Applied Energy, Elsevier, vol. 282(PB).
    5. Dai, Wei & Yang, Zhifang & Yu, Juan & Zhao, Ke & Wen, Shiyang & Lin, Wei & Li, Wenyuan, 2019. "Security region of renewable energy integration: Characterization and flexibility," Energy, Elsevier, vol. 187(C).
    6. Lu, Qing & Zhang, Yufeng, 2022. "A multi-objective optimization model considering users' satisfaction and multi-type demand response in dynamic electricity price," Energy, Elsevier, vol. 240(C).
    7. Bame, Aaron T. & Furner, Joseph & Hoag, Ian & Mohammadi, Kasra & Powell, Kody & Iverson, Brian D., 2022. "Optimization of solar-coal hybridization for low solar augmentation," Applied Energy, Elsevier, vol. 319(C).
    8. Mohseni, Soheil & Brent, Alan C. & Kelly, Scott & Browne, Will N. & Burmester, Daniel, 2021. "Strategic design optimisation of multi-energy-storage-technology micro-grids considering a two-stage game-theoretic market for demand response aggregation," Applied Energy, Elsevier, vol. 287(C).

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