Optimizing the number and locations of turbines in a wind farm addressing energy-noise trade-off: A hybrid approach

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• 作者：Prateek Mittal^a ; Kishalay Mitra^a ; ^{kishalay@iith.ac.in} ; Kedar Kulkarni^b
• 关键词：Wind ; Optimization ; Noise ; Pareto ; Classical ; Evolutionary
• 刊名：Energy Conversion and Management
• 出版年：2017
• 出版时间：15 January 2017
• 年：2017
• 卷：132
• 期：Complete
• 页码：147-160
• 全文大小：2956 K
• 卷排序：132

文摘

Concurrent resolution of turbine number and locations during micro-siting. Effect of noise on energy-noise multi-objective optimization is demonstrated. A hybrid algorithm is proposed utilizing probabilistic and deterministic methods. ∼24% improved performance is achieved over the benchmark case study. ∼29% enhanced efficiency over real-binary genetic algorithm alone can be observed.