Application of nonlinear model predictive control based on swarm optimization in power systems optimal operation with wind resources

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• 作者：Sahar S. Kaddah ; Khaled M. Abo-Al-Ez ; Tamer F. Megahed ; ^{mtamer_fa@mans.edu.eg} ; ^{mtamer_fa@yahoo.com}
• 关键词：Nonlinear ; Model predictive control ; Swarm optimization ; Controlled autoregressive integration moving average ; Optimal operation ; Wind power
• 刊名：Electric Power Systems Research
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：143
• 期：Complete
• 页码：415-430
• 全文大小：2597 K
• 卷排序：143

文摘

Building a generic mathematical formula for a nonlinear model predictive control. Swarm optimization with model predictive control is used to describe the UC/ED nonlinearity. Controlled autoregressive integration moving average is used to predict wind power and disturbance. Swarm model predictive control is used to solve ED on real-time basis.