近年来,海上能源发电技术备受瞩目,一种新兴趋势是将波浪能转换器(wave energy converter,WEC)与海上光伏(offshore floating photovoltaic,OFPV)相结合,形成混合光伏-波浪能转换器系统(hybrid PV-wave energy converter,HPV-WEC).HPV-WEC具有提高海上空间利用率,降低成本以及实现功率稳定输出等优势.为了充分利用HPV-WEC系统之间的协同效应,在不增加新设备的情况下提高能源产量,提出了一种基于改进秃鹰优化算法(improved bald eagle search algorithm,IBES)的 HPV-WEC 阵列布局优化策略.IBES结合了莱维飞行策略和模拟退火(simulated annealing,SA)机制,以平衡局部开发和全局探索之间的关系.为了评估IBES在优化HPV-WEC阵列方面的有效性,进行了 5个浮标和8个浮标规模的阵列优化,并将IBES与其他5种算法进行了比较.实验结果表明,IBES表现出实现最大总功率输出并具有显著的收敛特性.
Optimization of Offshore Hybrid Photovoltaic-wave Energy Converter Array Based on Improved Bald Eagle Optimization Algorithm
Recently,marine renewable energy generation technologies have garnered significant attention.A burgeoning trend involves integrating wave energy converters(WEC)with offshore floating photovoltaic(OFPV)systems,giving rise to hybrid photovoltaic-wave energy converters(HPV-WEC).HPV-WEC offers improved offshore spatial utilization,cost reduction,and stable power output.To fully exploit the synergies between HPV-WEC systems without introducing additional equipment,a layout optimization strategy for HPV-WEC arrays based on the improved bald eagle search algorithm(IBES)is proposed.IBES combines the levy flight strategy with simulated annealing(SA)mechanisms to balance the trade-off between local exploitation and global exploration.To assess the effectiveness of IBES in optimizing HPV-WEC arrays,optimizations were conducted for arrays with 5 and 8 buoys,and IBES was compared with five other algorithms.Experimental results demonstrate that IBES performs better in achieving maximum total power output and significant convergence characteristics.
improved bald eagle optimization algorithmwave energy converteroffshore floating photovoltaiclayout optimizationhybrid PV-wave energy converter
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