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Research on Peak Shaving Scheduling of Cascade Reservoir Groups Based on Improved Intelligent Water Drop Algorithm
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Qi WANG, Long XING, Tie-zhu JIAN, Ming-liang ZHAO, Shuai LI
Water Resources and Power | 2023, 41(4) : 97 - 101
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Water Resources and Power | 2023, 41(4): 97-101
• HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING •
Research on Peak Shaving Scheduling of Cascade Reservoir Groups Based on Improved Intelligent Water Drop Algorithm
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Qi WANG, Long XING, Tie-zhu JIAN, Ming-liang ZHAO, Shuai LI
Affiliations
  • River Basin Hub Administration Center, China Three Gorges Corporation, Yichang 443133, China
Published: 2023-04-25 doi: 10.20040/j.cnki.1000-7709.2023.20222126
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Aiming at the shortcomings of insufficient population diversity, easy to fall into local optimum, and slow initial solution speed of intelligent water drops algorithm (IWD), an improved IWD algorithm (IIWD) was proposed, which introduces the Logistic chaotic initialization method and the differential variation operator of the difference evolution algorithm (DE), and improves the neuronal update mode of the self-organizing mapping algorithm (SOM) and introduces it into the sub-update process of the optimal individual of the IWD algorithm. The IIWD was applied to the peak shaving scheduling of cascade reservoir groups. Compared with IWD and DE, the efficiency of the IIWD was verified.

intelligent water drop algorithm  /  self-organizing mapping algorithm  /  peak shaving scheduling  /  groups of cascade reservoirs
Qi WANG, Long XING, Tie-zhu JIAN, Ming-liang ZHAO, Shuai LI. Research on Peak Shaving Scheduling of Cascade Reservoir Groups Based on Improved Intelligent Water Drop Algorithm[J]. Water Resources and Power, 2023 , 41 (4) : 97 -101 . DOI: 10.20040/j.cnki.1000-7709.2023.20222126
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222126
  • Receive Date：2022-09-14
  • Online Date：2026-01-27
  • Published：2023-04-25
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  • Received：2022-09-14
  • Revised：2022-11-05
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    River Basin Hub Administration Center, China Three Gorges Corporation, Yichang 443133, China
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