基于改进霜冰优化算法的混合风-光-波一体化系统阵列优化
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杨博
1
,
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张芮
1
,
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胡袁炜骥
1
,
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李鸿彪
2
,
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郜登科
2
,
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陆海
3
作者信息
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1.昆明理工大学电力工程学院,昆明 650500
2.上海科梁信息科技股份有限公司,上海 201103
3.云南电网有限责任公司电力科学研究院,昆明 650217
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杨博(1988),男,教授,博士生导师,博士,研究方向为基于人工智能的新能源系统优化与控制,yangbo_ac@outlook.com;
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张芮(2001),男,硕士研究生,研究方向为波浪能发电系统阵列优化,571606129@qq.com;
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胡袁炜骥 (2000),男,通信作者,博士研究生,研究方向为基于人工智能的电动汽车规划与调度,Yuanweiji_Hu@outlook.com。
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收起
Array Layout Optimization of Hybrid Wind-Solar-Wave System Based on Improved Rime Optimization Algorithm
Author information
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1.School of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
2.Shanghai KeLiang Information Technology Co. , Ltd. , Shanghai 201103, China
3.Electric Power Research Institute, Yunnan Power Grid Co. , Ltd. , Kunming 650217, China
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文章历史
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| 收稿日期 |
出版日期 |
| 2025-01-17 |
2025-07-20 |
PDF (3114K)
摘要
在国际社会提振气候环境治理的决心与我国“双碳”政策及海洋强国战略的多重驱动下,可再生能源逐步替代化石燃料成为新型发电资源,其中波浪能发电由于资源丰富、绿色环保等优点得到了广泛研究。相较于单一波浪能装置发电系统能源利用率低的缺点,混合风-光-波一体化系统(hybrid wind-solar-wave system,HWSWS)可最大程度地实现多能互补。因此,提升HWSWS的效率和产量具有深远意义。为充分发挥风、光、波的优势,提出了一种基于改进霜冰优化算法(improved rime optimization algorithm,IRIME)的HWSWS阵列优化布局策略。通过整合Logistic混沌映射、黄金正弦策略和莱维飞行策略对原始的霜冰优化算法(rime optimization algorithm,RIME)进行改进。为了验证IRIME在优化HWSWS阵列方面的有效性,分别在5个HWSWS和9个HWSWS的规模下对阵列进行优化。仿真结果表明,经IRIME优化后的HWSWS的可实现最大功率输出,相较于RIME、粒子群优化算法(particle swarm optimization,PSO)、灰狼优化算法(grey wolf optimizer,GWO)和天鹰优化算法(aquila optimizer,AO),5个HWSWS规模的输出功率分别提高36.2 kW、83.3 kW、27.6 kW和38.0 kW,9个HWSWS规模的输出功率分别提高45.5 kW、191.2 kW、168.5 kW和66.5 kW,证明了IRIME的有效性与优越性。
Abstract
With the growing determination of the international community to strengthen climate and environmental governance, and under the multiple drivers of China's ‘Double Carbon’ policy and marine power strategy, renewable energy is gradually replacing fossil fuels as a new type of power generation resource. Among these, wave energy generation has been extensively studied due to its abundant resources and environmental benefits. Compared to the low energy utilization efficiency of single wave energy generation systems, the hybrid wind-solar-wave system (HWSWS) can maximize multi-energy complementarity. Therefore, improving the efficiency and output of HWSWS is of profound significance. To fully leverage the advantages of wind, solar, and wave energy, this paper proposes an array layout optimization strategy of HWSWS based on the improved rime optimization algorithm (IRIME). By integrating logistic chaotic mapping, golden sine strategy, and Lévy flight strategy, the original rime optimization algorithm (RIME) is improved. To validate the effectiveness of IRIME in optimizing HWSWS arrays, this paper performs optimizations on arrays at the five HWSWS and nine HWSWS scales. The simulation results show that the HWSWS optimized by IRIME achieves the maximum power output. Compared to RIME, particle swarm optimization (PSO), grey wolf optimizer (GWO), and aquila optimizer (AO), the output power of the five HWSWS array increases by 36.2 kW, 83.3 kW, 27.6 kW, and 38.0 kW, respectively. Besides, the output power of the nine HWSWS array increases by 45.5 kW, 191.2 kW, 168.5 kW, and 66.5 kW, respectively, demonstrating the effectiveness and superiority of IRIME.
Graphical abstract
关键词
改进霜冰优化算法
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SimuNPS软件
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混合风-光-波一体化系统
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漂浮式风电
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漂浮式光伏
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波浪能转换器
Key words
improved rime optimization algorithm
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SimuNPS software
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hybrid wind-solar-wave system
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floating wind turbine
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floating photovoltaic
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wave energy converter
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杨博,张芮,胡袁炜骥,李鸿彪,郜登科,陆海.
基于改进霜冰优化算法的混合风-光-波一体化系统阵列优化[J].
南方电网技术, 2025, 19(7): 50-61 DOI:10.13648/j.cnki.issn1674-0629.2025.07.004