Issue |
E3S Web Conf.
Volume 423, 2023
2023 7th International Workshop on Renewable Energy and Development (IWRED 2023)
|
|
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Article Number | 02006 | |
Number of page(s) | 7 | |
Section | Sustainable Energy Development and Energy Saving Technology | |
DOI | https://doi.org/10.1051/e3sconf/202342302006 | |
Published online | 08 September 2023 |
Research on Maintenance Boundary Variation of Cascade Hydropower Units Based on Dynamic Programming-Progressive Optimization Algorithm
1 Yalong River Hydropower Development Company LTD, Production Management Department, Chenghua, Chengdu, China
2 Yalong River Hydropower Development Company LTD, Centralized Control Centre, Chenghua, Chengdu, China
3 Sichuan University, College of Electrical Engineering, Wuhou, Chengdu, China
* zhangliang@sdic.com.cn
** wangwensong@sdic.com.cn
*** heyong@sdic.com.cn
**** chenping21@sdic.com.cn
***** Corresponding author: xingyan0912@163.com
****** lushuai@sdic.com.cn
Hydropower, as a primary source of renewable energy, plays a crucial role in achieving the dualcarbon goal. Therefore, it is essential to optimize the maintenance schedule to ensure the smooth operation of hydropower units and explore the principles governing the boundaries of the maintenance window period, considering multiple realistic constraints. In this paper, we take the “3-reservoirs and 7-levels” hydropower station in the lower Yalong River Basin as a case study. We establish an optimal model with the objective of maximizing the generating output, considering the total generating capacity and output of each hydropower station under various constraints. Next, we calculate the number of repairable units based on the ten-day output for each scenario and compare the maintenance window period while analysing its changing pattern. Finally, a comprehensive maintenance plan was developed based on historical maintenance data and industry standards with considering the changing rules. Additionally, we provide suggestions based on these rules.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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