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| Fatigue Distribution and Active Power Combined Control in Offshore Wind Farm |
| Su Yongxin1, Duan Bin1, Zhu Guanghui2, 3, Fan Yonghua4 |
1. Xiangtan University Xiangtan 411105 China;
2. State Key Laboratory of Offshore Wind Power Technology and Detection Xiangtan 411101 China;
3. National Energy Wind Turbine R&D (Experimental) Center Xiangtan 411101 China;
4. China Electric Power Research Institute Beijing 100192 China |
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Abstract To solve the unbalanced fatigue distribution over a wind farm and its optimization methods mismatching the active power demands of power grid, a novel control strategy was proposed. Based on optimal control theory, and by converting fatigue problem into active power controlling problem, the strategy can balance fatigue distribution using the active power margin on the condition that wind farms give up some wind power. Moreover, the strategy considered the impart of wake effect of wind turbine to improve the control accuracy. A solution based on intelligent agent was proposed to ensure the control strategy could execute in the existing computing devices of wind farm. In this solution each wind turbine was considered as an intelligent agent, and then the hierarchical state machine of each agent was presented, and finally, the communication scheme among agents was presented. The simulation results had shown that the proposed solution was a feasible way to trace the active power demands and to balance fatigue distribution at the same time, which may reduce the maintenance frequency of wind farms.
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Received: 20 November 2013
Published: 30 November 2015
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[1] Bolinger M, Wiser R. Understanding trends in wind turbine prices over the past decade[M]. US: Berkeley Press, 2011.
[2] 杭俊, 张建忠, 程明, 等. 风力发电系统状态监测和故障诊断技术综述[J]. 电工技术学报, 2013, 28(4): 261-271.
Hang Jun, Zhang Jianzhong, Cheng Ming, et al. An overview of condition monitoring and fault diagnostic for wind energy conversion system[J]. Transactions of China Electrotechnical Society, 2013, 28(4): 261-271.
[3] Quinonez-Varela G, Ault G W. Electrical collector system options for large offshore wind farms[J]. IET Renewable Power Generation, 2007, 1(2): 107-114.
[4] Shirani M, Häkegård G. Fatigue life distribution and size effect in ductile cast iron for wind turbine components[J]. Engineering Failure Analysis, 2011, 18(1): 12-24.
[5] 余民, 杨旻宸, 蒋传文, 等. 风电并网后电力系统可靠性评估和备用优化研究[J]. 电力系统保护与控制, 2012, 40(12): 100-104.
Yu Min, Yang Minchen, Jiang Chuanwen, et al. Study on power system reliability and reserve optimization with wind power integration[J]. Power System Protection and Control, 2012, 40(12): 100-104.
[6] 戴慧珠,迟永宁. 国内外风电并网标准比较研究[J].中国电力, 2012, 45(10): 1-6.
Dai Huizhu, Chi Yongning. Comparison study on grid codes for connecting wind farm into power system[J]. Electric Power, 2012, 45(10): 1-6.
[7] Tsili M, Papathanassiou S. A review of grid code technical requirements for wind farms[J]. IET Renewable Power Generation, 2009, 3(3): 308-332.
[8] Elkraft System, Eltra Regulation．Wind turbines connected to grids with voltages above 100kV- technical regulation for the properties and the regulation of wind turbines[R]. Errits: Elkraft System and Eltra Regulation, 2004.
[9] 中国电力监管标准化技术委员会. GB/T 19963—2011风电场接入电力系统技术规定[S]. 北京: 国家电网公司, 2011.
[10] 张晓花, 赵晋泉, 陈星莺. 节能减排下含风电场多目标机组组合建模及优化[J]. 电力系统保护与控制, 2011, 39(17): 33-39.
Zhang Xiaohua, Zhao Jinquan, Chen Xingying. Multi-objective unit commitment modeling and optimization for energy-saving and emission redu- ction in wind power integrated system[J]. Power System Protection and Control, 2011, 39(17): 33-39.
[11] 张宁宇, 高山, 赵欣. 一种考虑风电随机性的机组组合模型及其算法[J]. 电工技术学报, 2013, 28(5): 22-29.
Zhang Ningyu, Gao Shan, Zhao Xin. An unit commitment model and algorithm with randomness of wind power[J]. Transactions of China Electro- technical Society, 2013, 28(5): 22-29.
[12] Sanderse B,Van der Pijl S B, Koren B. Review of computational fluid dynamics for wind turbine wake aerodynamics[J]. Wind Energy, 2011, 14(7): 799- 819.
[13] 姚兴佳, 王晓东, 单光坤, 等. 双馈风电机组传动系统扭振抑制自抗扰控制[J]. 电工技术学报, 2012, 27(1): 136-141.
Yao Xingjia, Wang Xiaodong, Shan Guangkun, et al. Torque vibration active disturbance rejection control of double-fed wind turbine drive train[J]. Transactions of China Electrotechnical Society,2012, 27(1): 136-141.
[14] 王毅, 张祥宇, 李和明, 等. 永磁直驱风电机组对系统功率振荡的阻尼控制[J]. 电工技术学报, 2012, 27(12): 162-171.
Wang Yi, Zhang Xiangyu, Li Heming, et al. Damping control of PMSG-based wind turbines for power system oscillations[J]. Transactions of China Electrotechnical Society, 2012, 27(12): 162-171.
[15] 金鑫, 钟翔, 何玉林, 等. 独立变桨控制对大功率风力发电机振动影响[J]. 电力系统保护与控制, 2013, 41(8): 49-53.
Jin Xin, Zhong Xiang, He Yulin, et al. Influence on vibration of large-scale wind turbine by individual pitch control[J]. Power System Protection and Control, 2013, 41(8): 49-53.
[16] Pao Lucy Y, Johnson K E. Control of wind turbines: approaches, challenges and recent developments[J]. IEEE Control Systems Magazine, 2011, 31(2): 44-62.
[17] Zhao Rongyong, Shen Wenzhong, Torben Knudsen, et al. Fatigue distribution optimization for offshore wind farms using intelligent agent control[J]. Wind Energy, 2012, 15(7): 927-944.
[18] Méchali M, Barthelmie R, Frandsen S. Wake effects at Horns Rev and their influence on energy production[C]. In: European Wind Energy Conference and Exhibition, Greece, 2006: 10-22.
[19] González-Longatt F, Wall V F. Terzija. Wake effect in wind farm performance: Steady-state and dynamic behavior[J]. Renewable Energy, 2012, 39(1): 329- 338.
[20] 苏永新, 段斌, 敬章龙, 等. 网源协调环境下风电机组变桨矩控制策略[J]. 电力系统自动化, 2013, 37(9): 7-12. Su Yongxin, Duan Bin, Jing Zhanglong, et al. A variable pitch control strategy for wind turbines under grid coordination condition[J]. Automation of Electric Power Systems, 2013, 37(9): 7-12.
[21] Vedrana Spudi´c, Mate Jelavi´c, Mato Baoti´c. Wind turbine power references in coordinated control of wind farms[J]. Automatika, 2011, 52(2): 82-94.
[22] Hansen M O L, Madsen H A. Review paper on wind turbine aerodynamics[J]. Journal of Fluids Engin- eering, 2011, 133(11): 112-112. |
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2015, Vol. 30 
