Optimization of Offshore Hybrid Photovoltaic-wave Energy Converter Array Based on Improved Bald Eagle Optimization Algorithm
杨博 1段金航 1李密维 1刘炳强 1韩一鸣1
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作者信息
1. 昆明理工大学电力工程学院,云南省 昆明市 650500
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摘要
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.
Abstract
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.
关键词
改进秃鹰算法/波浪能转换器/海上光伏/布局优化/海上混合光伏-波浪能发电系统
Key words
improved bald eagle optimization algorithm/wave energy converter/offshore floating photovoltaic/layout optimization/hybrid PV-wave energy converter