基于改进秃鹰优化算法的海上混合光伏波浪能转换器阵列优化

Optimization of Offshore Hybrid Photovoltaic-wave Energy Converter Array Based on Improved Bald Eagle Optimization Algorithm

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。

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.