基于DSA功率预测模型的风电分层有功调度控制策略
|
摘要
为了增强含高渗透率风电电网的消纳能力,提高控制精度与运行经济性,提出了一种改进的基于双层递阶自适应模糊系统(double stage hierarchical ANFIS(adaptive neuro-fuzzy inference system),DSA)功率预测模型的风电分层有功调度控制策略。将有功调度分为系统层、风电场群层、分群子场层、风机机组层与反馈校正层,结合DSA模型对风电场超短期风电功率进行预测,考虑电网与机组安全运行等约束条件,给出了各个层级之间的协调控制关系与每个层级相应的功率分配方法,同时以滚动优化对误差进行校正。最后通过算例对所提控制策略的有效性进行分析验证,结果显示,所提控制策略在功率波动较大情况下其控制精度高,并且能有效减少风机启停次数,降低系统网损。
In order to enhance the capacity of wind power high-permeability grid and improve control accuracy and operational economy,this paper improves and proposes a layered control strategy based on DSA power prediction model wind power dispatch. The active power scheduling is divided into system layer,wind farm group layer,group sub-field layer,wind power generation unit layer and feedback correction layer. The DSA model is used to predict the ultra-short-term power output of wind farm,taking into account the constraints of the grid and the safe operation of the wind power units. The coordinated control relationship between levels and corresponding power allocation method for each level are eliminated,and the error is corrected by rolling optimization. Analysis of the example demonstrates the effectiveness of the proposed control strategy.Compared with existing control strategies,the prediction accuracy is higher. Under the condition of large power fluctuation,the root mean square error of the control is small,and the number of starts and stops of the wind power units can be effectively reduced. It reduces the network loss of the system and has the advantages of high control precision and fast response speed.
In order to enhance the capacity of wind power high-permeability grid and improve control accuracy and operational economy,this paper improves and proposes a layered control strategy based on DSA power prediction model wind power dispatch. The active power scheduling is divided into system layer,wind farm group layer,group sub-field layer,wind power generation unit layer and feedback correction layer. The DSA model is used to predict the ultra-short-term power output of wind farm,taking into account the constraints of the grid and the safe operation of the wind power units. The coordinated control relationship between levels and corresponding power allocation method for each level are eliminated,and the error is corrected by rolling optimization. Analysis of the example demonstrates the effectiveness of the proposed control strategy.Compared with existing control strategies,the prediction accuracy is higher. Under the condition of large power fluctuation,the root mean square error of the control is small,and the number of starts and stops of the wind power units can be effectively reduced. It reduces the network loss of the system and has the advantages of high control precision and fast response speed.
引文
[1]阎洁.风电功率预测不确定性及电力系统经济调度[D].北京:华北电力大学,2016.YAN Jie.Uncertainty of w ind pow er forecasting and pow er system economic dispatch[D].Beijing:North China Electric Pow er University,2016.
[2]林俐,谢永俊,朱晨宸,等.基于优先顺序法的风电场限出力有功控制策略[J].电网技术,2013,37(4):960-966.LIN Li,XIE Yongjun,ZHU Chenchen,et al.Priority list-based output-restricted active pow er control strategy for w ind farms[J].Pow er System Technology,2013,37(4):960-966.
[3]郑太一,冯利民,王绍然,等.一种计及电网安全约束的风电优化调度方法[J].电力系统自动化,2010,34(15):71-75.ZHENG Taiyi,FENG Limin,WANG Shaoran,et al.An optimized w ind pow er dispatching method considering security constraints in the pow er grid[J].Automation of Electric Pow er Systems,2010,34(15):71-75.
[4]VENAYAGAMOORTHY G K,ROHRIG K,ERLICH I.One step ahead:Short-term w ind pow er forecasting and intelligent predictive control based on data analytics[J].IEEE Pow er and Energy M agazine,2012,10(5):70-78.
[5]康重庆,贾文昭,徐乾耀,等.考虑网络安全约束的实时风电消纳能力评估[J].中国电机工程学报,2013,33(16):23-29.KANG Chongqing,JIA Wenzhao,XU Qianyao,et al.Capability evaluation of w ind pow er accommodation considering security constraints of pow er grid in real-time dispatch[J].Proceedings of the CSEE,2013,33(16):23-29.
[6]陈宁,谢杨,汤奕,等.考虑预测功率变化趋势的风电有功分群控制策略[J].电网技术,2014,38(10):2752-2758.CHEN Ning,XIE Yang,TANG Yi,et al.Strategy for active pow er control of w ind farm in cluster considering variation trend of forecasting pow er[J].Pow er System Technology,2014,38(10):2752-2758.
[7]汤奕,王琦,陈宁,等.考虑预测误差分布特性的风电场集群调度方法[J].中国电机工程学报,2013,33(25):27-32.TANG Yi,WANG Qi,CHEN Ning,et al.A dispatching method of active pow er in w ind farm clusters considering probability distribution of forecasting errors[J].Proceedings of the CSEE,2013,33(25):27-32.
[8]梅华威,米增强,李聪,等.采用机组风速信息动态分类的风电场有功控制策略[J].中国电机工程学报,2014,34(34):6058-6065.M EI Huaw ei,M I Zengqiang,LI Cong,et al.An active control strategy based on w ind speed information dynamic classification for WTGS in w ind farm[J].Proceedings of the CSEE,2014,34(34):6058-6065.
[9]李仕杰,王铁强,刘兴杰.基于机组分类的风电场有功功率控制策略研究[J].太阳能学报,2014,35(9):1778-1783.LI Shijie,WANG Tieqiang,LIU Xingjie.Active pow er control strategy of w ind farms based on state classification algorithm[J].Acta Energiae Solaris Sinica,2014,35(9):1778-1783.
[10]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.ZOU Jianxiao,LI Dan,ZHENG Gang,et al.An active pow er control scheme for w ind farms based on state classification algorithm[J].Automation of Electric Power Systems,2011,35(24):28-32.
[11]叶林,任成,李智,等.风电场有功功率多目标分层递阶预测控制策略[J].中国电机工程学报,2016,36(23):6327-6336,6597.YE Lin,REN Chen,LI Zhi,et al.Stratified progressive predictive control strategy for multi-objective dispatching active pow er in w ind farm[J].Proceedings of the CSEE,2016,36(23):6327-6336,6597.
[12]张伯明,陈建华,吴文传.大规模风电接入电网的有功分层模型预测控制方法[J].电力系统自动化,2014,38(9):6-14.ZHANG Boming,CHEN Jianhua,WU Wenchuan.A hierarchical model predictive control method of active pow er for accommodating large-scale w ind pow er integration[J].Automation of Electric Pow er Systems,2014,38(9):6-14.
[13]KHALID M,SAVKIN A V.A model predictive control approach to the problem of w ind pow er smoothing w ith controlled battery storage[J].Renew able Energy,2010,35(7):1520-1526.
[14]GUO Y,WANG W,TANG C Y,et al.Model predictive and adaptive w ind farm pow er control[C]//Proceedings of the 2013American Control Conference.Washington,DC:IEEE,2013:2890-2897.
[15]仲悟之,李梓锋,肖洋,等.高渗透联网风电集群有功分层递阶控制策略[J].电网技术,2018,42(6):1868-1875.ZHONG Wuzhi,LI Xinfeng,XIAO Yang,et al.Active hierarchical progressive control strategy of highly penetrated netw orked w ind pow er cluster[J].Pow er System Technology,2018,42(6):1868-1875.
[16]严干贵,刘嘉,崔杨,等.利用储能提高风电调度入网规模的经济性评价[J].中国电机工程学报,2013,33(22):45-52,9.YAN Gangui,LIU Jia,CUI Yang,et al.Economic evaluation of improving the grid scale of w ind pow er dispatching by using energy storage[J].Proceedings of the CSEE,2013,33(22):45-52,9.
[2]林俐,谢永俊,朱晨宸,等.基于优先顺序法的风电场限出力有功控制策略[J].电网技术,2013,37(4):960-966.LIN Li,XIE Yongjun,ZHU Chenchen,et al.Priority list-based output-restricted active pow er control strategy for w ind farms[J].Pow er System Technology,2013,37(4):960-966.
[3]郑太一,冯利民,王绍然,等.一种计及电网安全约束的风电优化调度方法[J].电力系统自动化,2010,34(15):71-75.ZHENG Taiyi,FENG Limin,WANG Shaoran,et al.An optimized w ind pow er dispatching method considering security constraints in the pow er grid[J].Automation of Electric Pow er Systems,2010,34(15):71-75.
[4]VENAYAGAMOORTHY G K,ROHRIG K,ERLICH I.One step ahead:Short-term w ind pow er forecasting and intelligent predictive control based on data analytics[J].IEEE Pow er and Energy M agazine,2012,10(5):70-78.
[5]康重庆,贾文昭,徐乾耀,等.考虑网络安全约束的实时风电消纳能力评估[J].中国电机工程学报,2013,33(16):23-29.KANG Chongqing,JIA Wenzhao,XU Qianyao,et al.Capability evaluation of w ind pow er accommodation considering security constraints of pow er grid in real-time dispatch[J].Proceedings of the CSEE,2013,33(16):23-29.
[6]陈宁,谢杨,汤奕,等.考虑预测功率变化趋势的风电有功分群控制策略[J].电网技术,2014,38(10):2752-2758.CHEN Ning,XIE Yang,TANG Yi,et al.Strategy for active pow er control of w ind farm in cluster considering variation trend of forecasting pow er[J].Pow er System Technology,2014,38(10):2752-2758.
[7]汤奕,王琦,陈宁,等.考虑预测误差分布特性的风电场集群调度方法[J].中国电机工程学报,2013,33(25):27-32.TANG Yi,WANG Qi,CHEN Ning,et al.A dispatching method of active pow er in w ind farm clusters considering probability distribution of forecasting errors[J].Proceedings of the CSEE,2013,33(25):27-32.
[8]梅华威,米增强,李聪,等.采用机组风速信息动态分类的风电场有功控制策略[J].中国电机工程学报,2014,34(34):6058-6065.M EI Huaw ei,M I Zengqiang,LI Cong,et al.An active control strategy based on w ind speed information dynamic classification for WTGS in w ind farm[J].Proceedings of the CSEE,2014,34(34):6058-6065.
[9]李仕杰,王铁强,刘兴杰.基于机组分类的风电场有功功率控制策略研究[J].太阳能学报,2014,35(9):1778-1783.LI Shijie,WANG Tieqiang,LIU Xingjie.Active pow er control strategy of w ind farms based on state classification algorithm[J].Acta Energiae Solaris Sinica,2014,35(9):1778-1783.
[10]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.ZOU Jianxiao,LI Dan,ZHENG Gang,et al.An active pow er control scheme for w ind farms based on state classification algorithm[J].Automation of Electric Power Systems,2011,35(24):28-32.
[11]叶林,任成,李智,等.风电场有功功率多目标分层递阶预测控制策略[J].中国电机工程学报,2016,36(23):6327-6336,6597.YE Lin,REN Chen,LI Zhi,et al.Stratified progressive predictive control strategy for multi-objective dispatching active pow er in w ind farm[J].Proceedings of the CSEE,2016,36(23):6327-6336,6597.
[12]张伯明,陈建华,吴文传.大规模风电接入电网的有功分层模型预测控制方法[J].电力系统自动化,2014,38(9):6-14.ZHANG Boming,CHEN Jianhua,WU Wenchuan.A hierarchical model predictive control method of active pow er for accommodating large-scale w ind pow er integration[J].Automation of Electric Pow er Systems,2014,38(9):6-14.
[13]KHALID M,SAVKIN A V.A model predictive control approach to the problem of w ind pow er smoothing w ith controlled battery storage[J].Renew able Energy,2010,35(7):1520-1526.
[14]GUO Y,WANG W,TANG C Y,et al.Model predictive and adaptive w ind farm pow er control[C]//Proceedings of the 2013American Control Conference.Washington,DC:IEEE,2013:2890-2897.
[15]仲悟之,李梓锋,肖洋,等.高渗透联网风电集群有功分层递阶控制策略[J].电网技术,2018,42(6):1868-1875.ZHONG Wuzhi,LI Xinfeng,XIAO Yang,et al.Active hierarchical progressive control strategy of highly penetrated netw orked w ind pow er cluster[J].Pow er System Technology,2018,42(6):1868-1875.
[16]严干贵,刘嘉,崔杨,等.利用储能提高风电调度入网规模的经济性评价[J].中国电机工程学报,2013,33(22):45-52,9.YAN Gangui,LIU Jia,CUI Yang,et al.Economic evaluation of improving the grid scale of w ind pow er dispatching by using energy storage[J].Proceedings of the CSEE,2013,33(22):45-52,9.