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A Bi-level Optimiztion Model for Hydropower Plants Based on Deviation Assessment
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Jing-ping PENG1, Chao ZHANG1, Yi-xuan LIU2a, 2b, 2c, Xu YANG1, 3, Xing-yao HE1, Li MO2a, 2b, 2c
Water Resources and Power | 2023, 41(4) : 102 - 106
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Water Resources and Power | 2023, 41(4): 102-106
• HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING •
A Bi-level Optimiztion Model for Hydropower Plants Based on Deviation Assessment
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Jing-ping PENG1, Chao ZHANG1, Yi-xuan LIU2a, 2b, 2c, Xu YANG1, 3, Xing-yao HE1, Li MO2a, 2b, 2c
Affiliations
  • 1.China Yangtze Power Co., Ltd., Yichang 443002, China
  • 2a.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2b.Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2c.Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China
  • 3.Hubei Key Laboratory of Intelligent Yangtze River and Hydropower Science, Yichang 443002, China
Published: 2023-04-25 doi: 10.20040/j.cnki.1000-7709.2023.20221975
Outline
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Currently, the electricity market is undergoing a new round of reform, and deviation assessment mechanisms have been introduced in various places to promote fair competition. In the face of the new market rules, the traditional dispatching model with maximum generation cannot be applied, and hydropower companies need to take market factors into account to control deviations. In order to save hydropower companies from paying costs, a study was conducted on the deviation control rules, and a bi-level optimization model with the objective of maximizing generation capacity and minimizing deviation was established to facilitate trading decisions. Taking the Three Gorges hydropower plant and Hubei province electricity market as examples, the Harmonic Search algorithm was used for analysis. The results show that the deviation rate in each interval is within the deviation control range, and the hydropower plant is exempt from deviation control. Thus, the bi-level optimization model mentioned above is feasible.

electricity market  /  deviation assessment  /  bi-level model  /  optimal dispatch
Jing-ping PENG, Chao ZHANG, Yi-xuan LIU, Xu YANG, Xing-yao HE, Li MO. A Bi-level Optimiztion Model for Hydropower Plants Based on Deviation Assessment[J]. Water Resources and Power, 2023 , 41 (4) : 102 -106 . DOI: 10.20040/j.cnki.1000-7709.2023.20221975
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Year 2023 volume 41 Issue 4
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221975
  • Receive Date：2022-09-21
  • Online Date：2026-01-27
  • Published：2023-04-25
Article Data
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History
  • Received：2022-09-21
  • Revised：2022-11-01
Funding
Affiliations
    1.China Yangtze Power Co., Ltd., Yichang 443002, China
    2a.School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    2b.Hubei Key Laboratory of Digital Valley Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    2c.Institute of Water Resources and Hydropower, Huazhong University of Science and Technology, Wuhan 430074, China
    3.Hubei Key Laboratory of Intelligent Yangtze River and Hydropower Science, Yichang 443002, China
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红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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