Scheduling Optimization Model for Medium and Long-Term Hydropower Generation

An optimization strategy for ahead-day spot market boundary of hydropower considering the connection with the medium and long-term hydropower scheduling plan is proposed to promote hydropower participation in spot market trading and large-scale consumption. In order to effectively connect the results of multi time scale hydropower optimization scheduling and further promote hydropower participation in spot market trading, a multi-objective optimization method is used to decompose the hydropower medium and long-term scheduling plan into various time periods before the day, and the boundary model of the hydropower ahead-day spot market s introduced using intersecting method for the set to correct the boundary range. A multi scenario comparative analysis method is used to verify the effectiveness and rationality of the proposed optimization strategy.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/eect64505.2025.10966984
Primary Topic
Power Systems and Renewable Energy
Type
article
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Scheduling Optimization Model for Medium and Long-Term Hydropower Generation

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Power Systems and Renewable Energy
article

Scheduling Optimization Model for Medium and Long-Term Hydropower Generation

Wu Jiekang, Quan Chen, Wenhao Tang, Zhen Lei, Kan Dongwang, Yang Yiehao
article en

Abstract

An optimization strategy for ahead-day spot market boundary of hydropower considering the connection with the medium and long-term hydropower scheduling plan is proposed to promote hydropower participation in spot market trading and large-scale consumption. In order to effectively connect the results of multi time scale hydropower optimization scheduling and further promote hydropower participation in spot market trading, a multi-objective optimization method is used to decompose the hydropower medium and long-term scheduling plan into various time periods before the day, and the boundary model of the hydropower ahead-day spot market s introduced using intersecting method for the set to correct the boundary range. A multi scenario comparative analysis method is used to verify the effectiveness and rationality of the proposed optimization strategy.

Guangdong University of Technology (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 93%
Power Systems and Renewable Energy
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