电源学报

考虑风机疲劳载荷分布的海上风电场有功功率优化调度

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景少伟中国电源学会学生会员 , 任子旭 , 魏书荣

电源学报 | 新能源发电与储能 2026,24(2): 155-164

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电源学报 |新能源发电与储能 2026 , 24 (2) : 155 -164

考虑风机疲劳载荷分布的海上风电场有功功率优化调度

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景少伟（1997—　），男，中国电源学会学生会员，硕士研究生。研究方向：大规模海上风电场有功功率优化调度。E-mail：1261598430@qq.com。

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景少伟（1997—　），男，中国电源学会学生会员，硕士研究生。研究方向：大规模海上风电场有功功率优化调度。E-mail：1261598430@qq.com。

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任子旭（1993—　），男，博士研究生。研究方向：海上风力发电系统故障辨识，海上风电场优化控制技术。E-mail：605211514@qq.com。

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任子旭（1993—　），男，博士研究生。研究方向：海上风力发电系统故障辨识，海上风电场优化控制技术。E-mail：605211514@qq.com。

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景少伟中国电源学会学生会员, 任子旭, 魏书荣

作者信息

海上风电技术教育部工程研究中心（上海电力大学），上海　200090

通讯作者:

魏书荣（1980—　），女，通信作者，博士，教授。研究方向：海上风电优化规划与故障诊断研究。E-mail：wsrmail@163.com。

作者简介:

景少伟（1997—　），男，中国电源学会学生会员，硕士研究生。研究方向：大规模海上风电场有功功率优化调度。E-mail：1261598430@qq.com。

任子旭（1993—　），男，博士研究生。研究方向：海上风力发电系统故障辨识，海上风电场优化控制技术。E-mail：605211514@qq.com。

Optimal Dispatching of Active Power for Offshore Wind Farm Considering Fatigue Load Distribution in Wind Turbines

Shaowei JING Student Member, CPSS, Zixu REN, Shurong WEI

Affiliations

Engineering Research Center of Offshore Wind Power Technology Ministry of Education (Shanghai University of Electric Power), Shanghai 200090, China

出版时间: 2026-02-28 doi: 10.13234/j.issn.2095-2805.2026.2.155

文章导航

摘要

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海上风电场运维成本是陆上的2倍以上，风机疲劳载荷分布不均匀导致风电场维护频率高，使得风电场运维成本高的问题更加凸显，由此提出1种考虑风机疲劳载荷分布的海上风电场有功功率优化调度策略。首先，提出1种基于疲劳载荷系数的海上风机疲劳载荷评估模型，构建疲劳载荷系数与风机有功出力、环境风湍流波动的关系，通过疲劳载荷系数评估风机的综合疲劳损伤，将风机疲劳载荷优化问题转化为有功功率控制问题。其次，基于最小推力系数控制策略，使得风电场尾流损失最小，提出在不增加风电场总疲劳载荷和风电场总功率输出不低于风机最大功率点跟踪控制策略的基础上均衡风机的疲劳载荷分布，使各机组维护频次同步，从而降低风电场的整体维护频率。最后，仿真结果表明，该方法可有效降低风电场的维护成本，为海上风电平价时代降本增效需求提供技术支撑。

关键词

有功功率调度 / 疲劳分布 / 疲劳载荷系数 / 最小推力系数控制

Abstract

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The operation and maintenance costs of offshore wind farms are more than twice as high as those onshore, and the uneven fatigue load distribution in wind turbines leads to a high maintenance frequency for wind farms, which makes the problem of high operation and maintenance costs of wind farms more prominent. Under this background, an optimal dispatching strategy for the active power of an offshore wind farm is proposed, which takes into account the fatigue load distribution in wind turbines. First, a fatigue load assessment model based on a fatigue load coefficient for offshore wind turbines is put forward, in which the relationship of fatigue load coefficient with wind turbine active power output and ambient wind turbulence fluctuation is constructed, the comprehensive fatigue damage of wind turbines is assessed through the fatigue load coefficient, and the problem of wind turbine fatigue load optimization is transformed into an active power control problem. Second, the wind farm wake loss is minimized under the minimum thrust coefficient control strategy, and the fatigue load distribution in wind turbines is balanced on the premise that the total fatigue load of the wind farm is not increased and the total power output from the wind farm is not lower than the value under the maximum power point tracking control strategy for wind turbines, so that the maintenance frequency of each unit is synchronized. Therefore, the overall maintenance frequency of the wind farm is reduced. Finally, simulation results show that the proposed method can effectively reduce the maintenance cost of one wind farm, providing technical support for the demand of cost reduction and efficiency improvement in the era of offshore wind power parity.

Key words

Dispatching of active power / fatigue distribution / fatigue load coefficient / minimum thrust coefficient control

引用本文

景少伟中国电源学会学生会员, 任子旭, 魏书荣. 考虑风机疲劳载荷分布的海上风电场有功功率优化调度. 电源学报, 2026 , 24 (2) : 155 -164 . DOI: 10.13234/j.issn.2095-2805.2026.2.155

Shaowei JING, Zixu REN, Shurong WEI. Optimal Dispatching of Active Power for Offshore Wind Farm Considering Fatigue Load Distribution in Wind Turbines[J]. Journal of Power Supply, 2026 , 24 (2) : 155 -164 . DOI: 10.13234/j.issn.2095-2805.2026.2.155

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文献

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参考文献引证文献

排序方式：

[1]

万远琛, 王凯, 初岳峰. 海上风电运维的技术现状和发展综述[J]. 船舶工程, 2020, 42(12): 20-25. Wan Yuanchen, Wang Kai, Chu Yuefeng. An overview of offshore wind power operation and maintenance[J]. Ship Engineering, 2020, 42(12): 20-25. (in Chinese)

[2]

高晨, 赵勇, 汪德良, 等. 海上风电机组电气设备状态检修技术研究现状与展望[J]. 电工技术学报, 2022, 37 (z1): 30-42. Gao Chen, Zhao Yong, Wang Deliang, et al. Research status and prospect of condition based maintenance technology for offshore wind turbine electrical equipment[J]. Transactions of China Electrotechnical Society, 2022, 37(z1): 30-42. (in Chinese)

[3]

Mendi B, Pattnaik M, Srungavarapu G. Design, analysis, and adaptive maximum power point tracking control of small-scale wind turbine system[J]. International Journal of Circuit Theory and Applications, 2023, 51(7): 3316-3330.

[4]

Qian Guowei, Ishihara T. Wind farm power maximization through wake steering with a new multiple wake model for prediction of turbulence intensity[J]. Energy, 2021, 220: 119680.

[5]

郑丁翡. 风机叶片疲劳约束下的风电场有功调节优化研究[D]. 沈阳: 沈阳工业大学, 2020. Zheng Dingfei. Research on optimization of active regulation of wind farm under fatigue constraint of wind turbine blades[D]. Shenyang: Shenyang University of Technology, 2020. (in Chinese)

[6]

刘颖明, 赵哲, 王晓东, 等. 考虑机组疲劳载荷的风电集群有功功率分配方法[J]. 太阳能学报, 2021, 42(5): 430-436. Liu Yingming, Zhao Zhe, Wang Xiaodong, et al. Active power distribution method for wind farm cluster based on cluster analysis[J]. Acta Energiae Solaris Sinica, 2021, 42(5): 430-436. (in Chinese)

[7]

Liao Hao, Hu Weihao, Wu Xiawei, et al. Active power dispatch optimization for offshore wind farms considering fatigue distribution[J]. Renewable Energy, 2020, 151: 1173-1185.

[8]

葛畅, 阎洁, 刘永前, 等. 海上风电场运行控制维护关键技术综述[J]. 中国电机工程学报, 2022, 42(12): 4278-4291. Ge Chang, Yan Jie, Liu Yongqian, et al. Review of key technologies for operation control and maintenance of offshore wind farm[J]. Proceedings of the CSEE, 2022, 42(12): 4278-4291. (in Chinese)

[9]

彭冉晟, 魏书荣. 基于DTW-DBSCAN和MTGNN-SA的海上风电集群功率预测[J]. 上海电力大学学报, 2025, 41(3): 223-230, 308. Peng Ransheng, Wei Shurong. Power prediction of offshore wind power cluster based on DTW-DBSCAN and MTGNN-SA[J]. Journal of Shanghai University of Electric Power, 2025, 41(3): 223-230, 308. (in Chinese)

[10]

Yao Qi, Hu Yang, Deng Hui, et al. Two-degree-of-freedom active power control of megawatt wind turbine considering fatigue load optimization[J]. Renewable Energy, 2020, 162: 2096-2112.

[11]

林湘宁, 丁苏阳, 张哲原, 等. 一种计及等效损伤载荷约束的风机黏性控制策略[J]. 中国电机工程学报, 2018, 38(7): 1951-1961, 2210. Lin Xiangning, Ding Suyang, Zhang Zheyuan, et al. A wind turbine cohesive control strategy considering equivalent damage load constraint[J]. Proceedings of the CSEE, 2018, 38(7): 1951-1961, 2210. (in Chinese)

[12]

Zhao Rongyong, Dong Daheng, Li Cuiling, et al. An improved power control approach for wind turbine fatigue balancing in an offshore wind farm[J]. Energies, 2020, 13(7): 1549-1568.

[13]

Zhang Baohua, Soltani M, Hu Weihao, et al. Optimized power dispatch in wind farms for power maximizing considering fatigue loads[J]. IEEE Transactions on Sustainable Energy, 2018, 9(2): 862-871.

[14]

苏福清, 匡洪海, 钟浩. 基于AG-MOPSO的含风电配电网无功优化[J]. 电源学报, 2024, 22(4): 192-199. Su Fuqing, Kuang Honghai, Zhong Hao. Reactive power optimization of wind power distribution network based on AG-MOPSO[J]. Journal of Power Supply, 2024, 22(4): 192-199. (in Chinese)

[15]

Meng Fanzhong, Hou Lio A W, Liew J. The effect of minimum thrust coefficient control strategy on power output and loads of a wind farm[J]. Journal of Physics: Conference Series, 2020, 1452(1): 012009.

[16]

Astrain Juangarcia D, Eguinoa I, Knudsen T. Derating a single wind farm turbine for reducing its wake and fatigue[J]. Journal of Physics: Conference Series, 2018, 1037(3): 032039.

[17]

Grunnet J D, Soltani M N, Knudsen T, et al. Aeolus toolbox for dynamics wind farm model, simulation and control[C]//European Wind Energy Conference and Exhibition 2010. 2010: 3119-3219.

[18]

Yang Wanqing. Comparison of SAGA and GA in wind turbine layout optimization based on modified two-dimensional wake model or Jensen model[J]. Journal of Physics: Conference Series, 2023, 2418(1): 012108.

[19]

Charles M, Oyedokun D T O, Dlodlo M. Wind farm density effects on turbulence intensity for large hexagonal farm arrays[C]//2020 6th IEEE International Energy Conference (ENERGYCon). Gammarth, Tunisia, 2020: 1-6.

[20]

高本锋, 王秋文, 马龙, 等. 匹配控制构网型直驱风电机组接入对混合风电场次/超同步振荡的影响机理[J/OL]. 电工技术学报, 1-18. (2025-12-12) [2026-01-14]. https://doi.org/10.19595/j.cnki.1000-6753.tces.250475. Gao Benfeng, Wang Qiuwen, Ma Long, et al. Analysis of the impact mechanism of matching control type direct drive wind turbine integration on sub/supersynchronous oscillation of hybrid wind farm[J]. Transactions of China Electrotechnical Society, 1-18. (2025-12-12) [2026-01-14]. https://doi.org/10.19595/j.cnki.1000-6753.tces.250475. (in Chinese)

2026年第24卷第2期

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文章信息

doi: 10.13234/j.issn.2095-2805.2026.2.155

接收时间：2023-01-16
首发时间：2026-10-29
出版时间：2026-02-28

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出版历史

收稿日期：2023-01-16
修回日期：2023-10-09
录用日期：2023-11-01

基金

作者信息

海上风电技术教育部工程研究中心（上海电力大学），上海　200090

通讯作者:

魏书荣（1980—　），女，通信作者，博士，教授。研究方向：海上风电优化规划与故障诊断研究。E-mail：wsrmail@163.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2026.2.155

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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