南非风电场有功储备模式下的功率滚动平滑控制
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摘要
以风电场有功和无功功率指令跟踪为控制目标,以风电机组设计极限和机端电压为约束条件,提出有功储备模式下考虑场内电压稳定的风电场功率分配方案,结合超短期风功率预测,实现风电场功率的高精度滚动控制。该文的控制策略成功应用于南非245 MW功率波动,提高场内电压稳定,保障该风电项目顺利通过南非电网公司的现场测试并进入商业化运行。
Because of the complex topology of large wind farms,the problem of voltage stability is prominent,which affects the tracking accuracy of dispatching instructions. In this paper,the active and reactive power command tracking of wind farm is taken as the control objective,the design limit and terminal voltage are taken as constraints,and a power control method considering the voltage stability in wind farm under the active power reservation mode is proposed.Combining with ultra-short-term wind power prediction,the high-precision rolling control of wind power generation is realized. The control strategy has been successfully applied to 245 MW large-scale wind power project in South Africa.The on-site test results showed that it effectively reduces the power fluctuation at POC(point of connection)and improves the voltage stability of the wind farm. It guaranteed the wind power project pass the on-side test of Eskom and enter the stage of commercial operation successfully.
Because of the complex topology of large wind farms,the problem of voltage stability is prominent,which affects the tracking accuracy of dispatching instructions. In this paper,the active and reactive power command tracking of wind farm is taken as the control objective,the design limit and terminal voltage are taken as constraints,and a power control method considering the voltage stability in wind farm under the active power reservation mode is proposed.Combining with ultra-short-term wind power prediction,the high-precision rolling control of wind power generation is realized. The control strategy has been successfully applied to 245 MW large-scale wind power project in South Africa.The on-site test results showed that it effectively reduces the power fluctuation at POC(point of connection)and improves the voltage stability of the wind farm. It guaranteed the wind power project pass the on-side test of Eskom and enter the stage of commercial operation successfully.
引文
[1]汤奕,王琦,陈宁,等.采用功率预测信息的风电场有功优化控制方法[J].中国电机工程学报,2012,32(34):1-7.[1]Tang Yi,Wang Qi,Chen Ning,et al.An optimal active power control method of wind farm based on wind power forecasting information[J].Proceedings of the CSEE,2012,32(34):1-7.
[2]薛禹胜,郁琛,赵俊华,等.关于短期及超短期风电功率预测的评述[J].电力系统自动化,2015,39(6):141-151.[2]Xue Yusheng,Yu Chen,Zhao Junhua,et al.A review onshore-term and ultra-short-term wind power prediction[J].Automation of Electric Power Systems,2015,39(6):141-151.
[3]张伯明,吴文传,郑太一,等.消纳大规模风电的多时间尺度协调的有功调度系统设计[J].电力系统自动化,2011,35(1):1-6.[3]Zhang Boming,Wu Wenchuan,Zheng Taiyi,et al Design of a multi-time scale coordinated active power is patching system for accommodating large scale wind power penetration[J].Automation of Electric Power Systems,2011,35(1):1-6.
[4]行舟,陈永华,陈振寰,等.大型集群风电有功智能控制系统控制策略:(一)风电场之间的协调控制[J].电力系统自动化,2011,35(20):20-23.[4]Xing Zhou,Chen Yonghua,Chen Zhenhuan,et al.Acontrol strategy of active power intelligent control system for large cluster of wind farms part one coordination control for wind farms[J].Automation of Electric Power Systems,2011,35(20):20-23.
[5]符杨,潘翔龙,黄玲玲.考虑双馈机组无功调节能力的海上风电场无功优化[J].电网技术,2014,38(8):2169-2174.[5]Fu Yang,Pan Xianglong,Huang Lingling.Reactive power optimization for offshore wind farm considering reactive power regulation capability of doubly-fed induction generators[J].Power System Technology,2014,38(8):2169-2174.
[6]邹见效,李丹,郑刚,等.基于机组状态分类的风电场有功功率控制策略[J].电力系统自动化,2011,35(24):28-32.[6]Zou Jianxiao,Li Dan,Zheng Gang,et al.An active power control scheme for wind farms based on state classification algorithm[J].Automation of Electric Power Systems,2011,35(24):28-32.
[2]薛禹胜,郁琛,赵俊华,等.关于短期及超短期风电功率预测的评述[J].电力系统自动化,2015,39(6):141-151.[2]Xue Yusheng,Yu Chen,Zhao Junhua,et al.A review onshore-term and ultra-short-term wind power prediction[J].Automation of Electric Power Systems,2015,39(6):141-151.
[3]张伯明,吴文传,郑太一,等.消纳大规模风电的多时间尺度协调的有功调度系统设计[J].电力系统自动化,2011,35(1):1-6.[3]Zhang Boming,Wu Wenchuan,Zheng Taiyi,et al Design of a multi-time scale coordinated active power is patching system for accommodating large scale wind power penetration[J].Automation of Electric Power Systems,2011,35(1):1-6.
[4]行舟,陈永华,陈振寰,等.大型集群风电有功智能控制系统控制策略:(一)风电场之间的协调控制[J].电力系统自动化,2011,35(20):20-23.[4]Xing Zhou,Chen Yonghua,Chen Zhenhuan,et al.Acontrol strategy of active power intelligent control system for large cluster of wind farms part one coordination control for wind farms[J].Automation of Electric Power Systems,2011,35(20):20-23.
[5]符杨,潘翔龙,黄玲玲.考虑双馈机组无功调节能力的海上风电场无功优化[J].电网技术,2014,38(8):2169-2174.[5]Fu Yang,Pan Xianglong,Huang Lingling.Reactive power optimization for offshore wind farm considering reactive power regulation capability of doubly-fed induction generators[J].Power System Technology,2014,38(8):2169-2174.
[6]邹见效,李丹,郑刚,等.基于机组状态分类的风电场有功功率控制策略[J].电力系统自动化,2011,35(24):28-32.[6]Zou Jianxiao,Li Dan,Zheng Gang,et al.An active power control scheme for wind farms based on state classification algorithm[J].Automation of Electric Power Systems,2011,35(24):28-32.