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Optimal facility combination set of integrated energy system based on consensus point between independent system operator and independent power producer

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  • Son, Yeong Geon
  • Oh, Byeong Chan
  • Acquah, Moses Amoasi
  • Kim, Sung Yul

Abstract

In recent years, the frequency of power demand imbalance and negative price phenomenon has risen due to the rapid expansion of renewable energy sources (RES). Because of this, a means to reduce the curtailment of RES by utilizing surplus energy is essential. This paper focuses on reducing the curtailment of wind turbines (WT) with high output intermittency and minimizing the investment cost of IES via an integrated energy system (IES). The IES operation seeks to improve the acceptability and efficiency of the RES as it supports the integration of various energies mix, such as electricity, heat, hydrogen. This paper proposes an optimal facility combination set (FCS) of IES that satisfies the requirements of ISO and IPP using Multi-Objective Optimization Programming (MOP). The case study is based on a wind farm in South Korea, set in Aewol-eup, Jeju-Island. The case study results provide the best configuration of the IES energy mix with the best economic value and efficiency while satisfying ISO and IPP perspectives.

Suggested Citation

  • Son, Yeong Geon & Oh, Byeong Chan & Acquah, Moses Amoasi & Kim, Sung Yul, 2023. "Optimal facility combination set of integrated energy system based on consensus point between independent system operator and independent power producer," Energy, Elsevier, vol. 266(C).
    • Handle: RePEc:eee:energy:v:266:y:2023:i:c:s0360544222033084
    DOI: 10.1016/j.energy.2022.126422
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    1. Yeong-Geon Son & Sung-Yul Kim & In-Su Bae, 2024. "Optimal Coordination of Energy Coupling System Considering Uncertainty of Renewable Energy Sources," Energies, MDPI, vol. 17(4), pages 1-17, February.
    2. Cui, Jia & Zhang, Ximing & Liu, Wei & Yan, Xinyue & Hu, Zhen & Li, Chaoran & Huang, Jingbo, 2024. "A novel trading optimization strategy of source-load bilateral thermoelectric spot based on industrial parks interior," Energy, Elsevier, vol. 302(C).
    3. Son, Yeong Geon & Kim, Sung Yul, 2024. "Optimal planning and operation of integrated energy systems in South Korea: Introducing a Novel ambiguity set based distributionally robust optimization," Energy, Elsevier, vol. 307(C).
    4. Son, Yeong Geon & Choi, Sungyun & Aquah, Moses Amoasi & Kim, Sung Yul, 2023. "Systematic planning of power-to-gas for improving photovoltaic acceptance rate: Application of the potential RES penetration index," Applied Energy, Elsevier, vol. 349(C).
    5. Gyeong-Taek Do & Eun-Tae Son & Byeong-Chan Oh & Hong-Joo Kim & Ho-Sung Ryu & Jin-Tae Cho & Sung-Yul Kim, 2023. "Technical Impacts of Virtual Clean Hydrogen Plants: Promoting Energy Balance and Resolving Transmission Congestion Challenges," Energies, MDPI, vol. 16(22), pages 1-13, November.
    6. Son, Yeong Geon & Kim, Sung Yul, 2025. "Distributionally robust planning for power-to- gas integrated large wind farm systems incorporating hydrogen production switch control model," Energy, Elsevier, vol. 314(C).

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