Risk-aware short term hydro-wind-thermal scheduling using a probability interval optimization model

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• 作者：J.J. Chen^a ; ^{jjchen@sdut.edu.cn} ; Y.B. Zhuang^b ; ^{zhuangyunbei@139.com} ; Y.Z. Li^c ; P. Wang^d ; Y.L. Zhao^a ; C.S. Zhang^a
• 关键词：Hydro-wind-thermal scheduling (HWTS) ; Risk-aware ; Probability interval optimization (PIO) ; Evolutionary predator and prey strategy (EPPS) ; Distribution probability
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：189
• 期：Complete
• 页码：534-554
• 全文大小：1186 K
• 卷排序：189

文摘

A probability interval optimization (PIO) model for short term hydro-wind-thermal scheduling (HWTS) is developed. An evolutionary predator and prey strategy (EPPS) is presented for solving the PIO model. A heuristic repair mechanism is developed to handle the complex constraints of HWTS. The reliability and applicability of the PIO and EPPS are examined respectively.