کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
763562 1462866 2015 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimal operation rules of Three-gorge and Gezhouba cascade hydropower stations in flood season
ترجمه فارسی عنوان
مقررات بهره برداری مطلوب از ایستگاه های برق آبی آبشار سه گربه و ژژوبه در فصل سیل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• Operation characteristics of three-kind of water turbines in flood season were proposed.
• Complicated water volume and hydraulic relation in flood season was proposed.
• Short term operation model of Three-gorge and Gezhouba cascade hydropower stations was proposed.
• Three operation rules in flood season were proposed and verified.

In this paper, we promote an effective approach to develop short-term operation solutions for Three-gorge and Gezhouba cascade hydropower stations in flood season. After a rule discovery step, three operation rules are proposed and verified by a case study with a numerical model using genetic algorithm. Operation solutions with rules applied can be obtained with larger objective values and higher optimization efficiency. When average water discharge of Three-gorge reservoir exceeds 30,000 m3/s, water level of Gezhouba reservoir should rise or fall down to a key value firstly and stay at the key value in the rest time of an operation period. The corresponding water discharge processes can maximize total allowable output capacity and total amount of electricity. When average water discharge ranges from 20,000 m3/s to 30,000 m3/s, hydraulic head of Gezhouba hydropower station is the decision factor. Solutions are optimal in which average hydraulic head is more near 17.0 m. When average water discharge is less than 20,000 m3/s, several factors should be considered for operation decision, such as maximum water discharge capacity, initial water level of Gezhouba reservoir. Optimal operation solutions can be obtained in which water level of Gezhouba reservoir in an operation period follows as an expected process.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 96, 15 May 2015, Pages 159–174
نویسندگان
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