2024 04 73-79
考虑集电系统元件故障的风电场可靠性评估
基金项目(Foundation):
新疆维吾尔自治区重大科技专项项目“电源侧数字化智能化关键技术研究”（2022A01007-1,2022A01007-2）
邮箱(Email):
DOI:
10.19929/j.cnki.nmgdljs.2024.0056
中文作者单位:
太原理工大学电气与动力工程学院，太原 030024
摘要(Abstract):
鉴于规划阶段对风电场运行可靠性评估的重要意义，以风电场的有功出力为研究对象，在分析风电场集电系统拓扑结构及元件可靠性模型的基础上，考虑了风速变化对系统可靠性指标的影响，设计了一种序贯蒙特卡洛法与深度优先路径搜索法相结合的风电场可靠性评估流程。通过算例分析比较了不同拓扑结构下风电场的可靠性指标，结果表明，相较于放射形拓扑，采用单边环形拓扑与双边环形拓扑结构的风电场等效停运率分别降低7.92%、7.79%，单边环形拓扑结构的可靠性最高，所建可靠性模型和评估方法有效可靠。
关键词(KeyWords):
风电场;集电系统;多重故障;序贯蒙特卡洛法;可靠性评估
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参考文献
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[2] 王碧阳,王锡凡,王秀丽,等.考虑集电系统的风电场可靠性评估[J].中国电机工程学报,2015,35(9):2105-2111. WANG Biyang, WANG Xifan, WANG Xiuli, et al. Reliability evaluation of wind plant considering collector grid[J]. Proceedings of the CSEE, 2015, 35(9):2105-2111.
[3] 陈献慧,王冰,邓红峰,等.海上风电场环形拓扑结构集电系统开关配置分析[J].可再生能源,2019,37(2):205-211. CHEN Xianhui, WANG Bing, DENG Hongfeng, et al. Analysis of the switchgear configuration for the ring collection grids of offshore wind farms[J]. Renewable Energy Resources, 2019, 37(2):205-211.
[4] 吕小凡,刁晓伟,王靖,等.考虑电气元件多重故障的海上风场集电系统可靠性与经济性评估[J].现代电力,2017,34(6):59-64. LYU Xiaofan, DIAO Xiaowei, WANG Jing, et al. The Research on Reliability and Economy Evaluation of Wind Power Collection System for Offshore Wind Farms Considering Multiple Failures of the Electrical Components[J]. Mordern Electric Power, 2017, 34(6):59-64.
[5] Abeynayake G, Van Acker T, Van Hertem D, et al. Analytical model for availability assessment of large-scale offshore wind farms including their collector system[J]. IEEE Transactions on Sustainable Energy, 2021, 12(4):1974-1983.
[6] Sulaeman S, Benidris M, Mitra J, et al. A wind farm reliability model considering both wind variability and turbine forced outages[J]. IEEE Transactions on Sustainable Energy, 2016, 8(2):629-637.
[7] 杨之俊.基于粒子群算法的风电场集电系统优化设计[J].电测与仪表,2016,53(19):113-118. YANG Zhijun. Optimal design of power collection system for wind farm based on PSO algorithm[J]. Electrical Measurement&Instrumentation, 2016, 53(19):113-118.
[8] 谭任深,杨苹,贺鹏,等.考虑电气故障和开关配置方案的海上风电场集电系统可靠性及灵敏度研究[J].电网技术,2013,37(8):2264-2270. TAN Renshen, YANG Ping, HE Peng, et al. Analysis on Reliability and Sensitivity of Collection System of Offshore Wind Farms Considering Electrical Faults and Switchgear Configurations[J]. Power System Technology, 2013, 37(8):2264-2270.
[9] 王昕伟,张建华,蒋程,等.基于序贯蒙特卡罗方法的风电场有功出力可靠性评估[J].太阳能学报,2014,35(1):106-112. WANG Xinwei, ZHANG Jianhua, JIANG Cheng, et al. Reliability Assessment Of Wind Farm Active Power Based On Seouential Monte-Carlo Method[J]. Acta Energiae Solaris Sinica, 2014, 35(1):106-112.
[10] 刘文霞,蒋程,张建华,等.一种用于序贯蒙特卡罗仿真的风电机组多状态可靠性模型[J].电力系统保护与控制,2013,41(8):73-80. LIU Wenxia, JIANG Cheng, ZHANG Jianhua, et al. A multistage reliability model of wind turbines for sequential Monte Carlo simulation[J]. Power System Protection and Control, 2013, 41(8):73-80.
[11] 罗魁,郭剑波,马士聪,等.海上风电并网可靠性分析及提升关键技术综述[J].电网技术,2022,46(10):3691-3703. LUO Kui, GUO Jianbo, MA Shicong, et al. Review of Key Technologies of Reliability Analysis and Improvement for Offshore Wind Power Grid Integration[J]. Power System Technology, 2022, 46(10):3691-3703.
[12] 徐政,陈凡.序贯蒙特卡洛方法计算速度的影响因素分析[J].电力学报,2018,33(1):1-8. XU Zheng, CHEN Fan. The Influencing Factor Analysis on Computation Speed of Sequential Monte Carlo Method[J]. Journal of Electric Power, 2018, 33(1):1-8.
[13] 李化.蒙特卡洛模拟法在计算风场超越概率发电量中的应用[J/OL].南方能源建设,1-9[2024-08-14]. http://kns.cnki.net/kcms/detail/44.1715.TK.20240606.0831.004.html.
[14] 徐权,陈如玉.某山地风电场建设前后发电量损失研究[J].东北电力技术,2023,44(11):52-55,62. XU Quan, CHEN Ruyu. Research on Power Generation Loss Before and After Construction of Wind Farm in Terrain[J]. Northeast Electric Power Technology, 2023, 44(11):52-55, 62.
[15] 王亦晨,刘雪梅.基于冲突搜索增强深度强化学习的多AGV路径规划方法[J/OL].机电工程技术,1-7[2024-08-14]. http://kns.cnki.net/kcms/detail/44.1522.TH.20240715.1114.002.html.
基本信息:
DOI：10.19929/j.cnki.nmgdljs.2024.0056
中图分类号:
引用信息:
[1]杜谦,张金龙,陈武晖.考虑集电系统元件故障的风电场可靠性评估[J],2024,42(04):73-79.DOI:10.19929/j.cnki.nmgdljs.2024.0056.
基金信息:
新疆维吾尔自治区重大科技专项项目“电源侧数字化智能化关键技术研究”（2022A01007-1,2022A01007-2）
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