دورية أكاديمية
Optimal Decomposition for the Monthly Contracted Electricity of Cascade Hydropower Plants Considering the Bidding Space in the Day-Ahead Spot Market
| العنوان: | Optimal Decomposition for the Monthly Contracted Electricity of Cascade Hydropower Plants Considering the Bidding Space in the Day-Ahead Spot Market |
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| المؤلفون: | Yang Wu, Chengguo Su, Shuangquan Liu, Hangtian Guo, Yingyi Sun, Yan Jiang, Qizhuan Shao |
| المصدر: | Water, Vol 14, Iss 15, p 2347 (2022) |
| بيانات النشر: | MDPI AG |
| سنة النشر: | 2022 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | cascade hydropower plants, decomposition of the monthly contracted electricity, day-ahead spot market, uncertainty of the clearing price, successive approximation, mixed-integer linear programming, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500 |
| الوصف: | With the gradual opening of China’s electricity market, it is effective for cascade hydropower plants to simultaneously participate in both the monthly contract market and the day-ahead spot market to obtain higher power generation benefits. Hence, this paper studies the optimal decomposition model for the monthly contracted electricity of cascade hydropower plants considering the bidding space in the day-ahead spot market. The close hydraulic and electric connection between cascade hydropower plants, the implementation requirements of contracted electricity, and the uncertainty of the day-ahead market clearing price are all well considered. Several linearization techniques are proposed to address the nonlinear factors, including the objective function and the power generation function. A successive approximation (SA) approach, along with a mixed-integer linear programming (MILP) approach, is then developed to solve the proposed model. The presented model is verified by taking the decomposition of the monthly contracted electricity of cascade hydropower plants in China as an example. The results indicate that the developed model has high computational efficiency and can increase the power generation benefits compared with the conventional deterministic model. The effect of the penalty coefficient for imbalanced monthly contracted electricity is also evaluated, which provides a practical reference for market managers. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2073-4441 |
| العلاقة: | https://www.mdpi.com/2073-4441/14/15/2347Test; https://doaj.org/toc/2073-4441Test; https://doaj.org/article/a40550105f944258a47a4770f4b8873bTest |
| DOI: | 10.3390/w14152347 |
| الإتاحة: | https://doi.org/10.3390/w14152347Test https://doaj.org/article/a40550105f944258a47a4770f4b8873bTest |
| رقم الانضمام: | edsbas.38D06A3B |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20734441 |
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| DOI: | 10.3390/w14152347 |