کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8075677 | 1521465 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Reliability constrained unit commitment with combined hydro and thermal generation embedded using self-learning group search optimizer
ترجمه فارسی عنوان
قابلیت اطمینان محدودیت تعهد واحد با ترکیب هیدرولیک و حرارتی تعبیه شده با استفاده از بهینه ساز جستجو گروه خودآموز تعبیه شده است
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
This paper proposes a reliability constrained unit commitment problem with combined hydro and thermal generation embedded (RCHTUC), solved by a SLGSO (self-learning group search optimizer). The RCHTUC problem aims at minimizing the sum of fuel costs and start-up costs of thermal plants subject to various operation constraints. Furthermore, the problem takes into account the combination of hydro and thermal systems and the reliability constraints in hydrothermal power systems so as to respond to unforeseen outages and changes of load demands. In order to solve the RCHTUC problem, a SLGSO is developed from the GSO (group search optimizer), applying adaptive covariance matrix to design the optimum searching strategy and employing Lévy flights to increase the diversity of group. This paper reports on the simulation results obtained by the proposed method. The results are compared with those obtained by other methods on different hydrothermal systems over the scheduling horizon. The simulation results demonstrate the efficiency of the SLGSO for tackling the RCHTUC problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 81, 1 March 2015, Pages 245-254
Journal: Energy - Volume 81, 1 March 2015, Pages 245-254
نویسندگان
J.H. Zheng, J.J. Chen, Q.H. Wu, Z.X. Jing,