含风电的电力系统不对称故障后机电恢复特性修正方法研究
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摘要
在发生不对称故障情况下,风电系统机电暂态仿真结果与电磁暂态仿真结果间存在较大的差异,严重影响了仿真系统稳定性评估的准确性。为减少在不对称故障情况下风电系统机电暂态仿真与电磁暂态仿真间的误差,文中提出了一种基于数据挖掘的风电系统机电暂态仿真恢复特性曲线修正方法,并给出了其机电仿真的主要误差评价指标。最后,以PSCAD/EMTDC上风电系统的电磁暂态仿真曲线为标准响应曲线,以PSASP上风电系统机电暂态仿真曲线为目标,通过构造相应的样本库和修正算例进行验证,仿真结果说明了所提出方法的有效性和评价指标的合理性。
Under the condition of asymmetric fault,there is a large difference between the electromechanical transient simulation results of the wind power system and the electromagnetic transient simulation results,which seriously affects the accuracy of the stability evaluation of the simulation system. In order to reduce the error between electromechanical transient simulation of wind power system and electromagnetic transient simulation under the condition of system asymmetry,this paper presents a method to modify the characteristic curve of electromechanical transient simulation of wind power system based on data mining. And the main error evaluation indexes of electromechanical simulation are given. Finally,this paper takes the electromagnetic transient simulation curve of PSCAD/EMTDC as the standard response curve,and takes the PSASP wind power system electromechanical transient simulation curve as the goal,to verify through the construction of the corresponding sample library and correction examples. The simulation results show the validity of the proposed method and the rationality of the evaluation index.
Under the condition of asymmetric fault,there is a large difference between the electromechanical transient simulation results of the wind power system and the electromagnetic transient simulation results,which seriously affects the accuracy of the stability evaluation of the simulation system. In order to reduce the error between electromechanical transient simulation of wind power system and electromagnetic transient simulation under the condition of system asymmetry,this paper presents a method to modify the characteristic curve of electromechanical transient simulation of wind power system based on data mining. And the main error evaluation indexes of electromechanical simulation are given. Finally,this paper takes the electromagnetic transient simulation curve of PSCAD/EMTDC as the standard response curve,and takes the PSASP wind power system electromechanical transient simulation curve as the goal,to verify through the construction of the corresponding sample library and correction examples. The simulation results show the validity of the proposed method and the rationality of the evaluation index.
引文
[1]顾卓远,汤涌,刘文焯,等,双馈风力发电机组的电磁暂态机电暂态混合仿真研究[J].电网技术,2015,39(3):615-620.Gu Zhuoyuan,Tang Yong,Liu Wenzhuo,et al.Electromechanical Transient-Electromagnetic Transient Hybrid Simulation of Doubly-Fed Induction Generator[J].Power System Technology,2015,39(3):615-620.
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[5]吴涛,于啸,郭嘉阳,等.暂态稳定计算中双馈型风电机组模型与参数的实证分析[J].电网技术,2011,35(1).Wu Tao,Yu Xiao,Guo Jiayang,et al.Empirical Analysis on Model and Parameters of Grid-Connected Doubly Fed Induction Generators in Transient Stability Computation[J].Power System Technology,2011,35(1).
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[8]郭家虎,张鲁华,蔡旭.双馈风力发电系统在电网三相短路故障下的响应与保护[J].电力系统保护与控制,2010,38(6):40-44,48.Guo Jiahu,Zhang Luhua,Cai Xu.Response and protection of DFIGsystem under three-phase short circuit fault of grid[J].Power System Protection and Control,2010,38(6):40-44,48.
[9]刘文焯,侯俊贤,汤涌,等.考虑不对称故障的机电暂态-电磁暂态混合仿真方法[J].中国电机工程学报,2010,30(13):8-15.Liu Wenzhuo,Hou Junxian,Tang Yong,et al.Electromechanical Transient/Electromagnetic Transient Hybrid Simulation Method Considering Asymmetric Faults[J].Proceedings of the CSEE,2010,30(13):8-15.
[10]高松,贺仁睦,马进,等.电力系统动态仿真误差评定准则研究[J].电力系统自动化,2006,(4):6-10.Gao Song,He Renmu,Ma Jin,et al.Error Criteriaon Power System Dynamic Simnlation Validation[J].Auto Tation of Electric Power Systems,2006,(4):6-10.
[11]武朝强.电力系统动态仿真误差评价指标研究[D].北京:华北电力大学(北京),2008.
[12]马进,王景钢,贺仁睦.电力系统动态仿真的灵敏度分析[J].电力系统自动化,2005,(17):20-27.
[13]王壮,胡卫东,郁文贤,等.一种基于近邻搜索的快速k-近邻分类算法[J].系统工程与电子技术,2002,(4):100-102.
[14]谢娟英,高红超,谢维信.K近邻优化的密度峰值快速搜索聚类算法[J].中国科学:信息科学,2016,46(2):258-280.
[15]肇莹,刘红星,王仲宇,等.最近邻搜索用于分类问题的一种改进[J].南京大学学报(自然科学版),2009,45(4):455-462
[16]Prabha Kundur.电力系统稳定与控制[M].北京:中国电力出版社,2002.
[17]宋海辉,风力发电技术及工程[M].北京:中国水利水电出版社,2009.
[18]叶杭冶,风力发电机组的控制技术[M].北京:机械工业出版社,2版,2008.
[19]PSASP动态元件模型库用户手册[M].中国电力科学研究院.2010.
[20]印永华.国家电网仿真研究中心建设可行性研究报告[R].北京:中国电力科学研究院,2005.
[2]张涛,胡立锦,张新燕,等.风力发电机通用化建模研究[J].电力系统保护与控制,2013,41(13):1-6.Zhang Tao,Hu Lijin,Zhang Xinyan,et al.Research on universal modeling of wind turbines[J].Power System Protection and Control,2013,41(13):1-6.
[3]訾鹏,周孝信,田芳,等.双馈式风力发电机的机电暂态建模[J].中国电机工程学报,2015,35(5):1106-1114.Zi Peng,Zhou Xiaoxin,Tian Fang,et al.Electromechanical Transient Modeling of Wind Turbines Based on Doubly-fed Induction Generator[J].Proceedings of the CSEE,2015,35(5):1106-1114.
[4]李岩松,郭世繁,任国威,等.双馈式风力发电系统的机电暂态建模与运行分析[J].电力系统保护与控制,2013,41(13):104-109.Li Yansong,Guo Shifan,Ren Guowei,et al.Modeling and operation simulation of doubly-fed type wind power generation system electromechanical transient model[J].Power System Protection and Control,2013,41(13):104-109.
[5]吴涛,于啸,郭嘉阳,等.暂态稳定计算中双馈型风电机组模型与参数的实证分析[J].电网技术,2011,35(1).Wu Tao,Yu Xiao,Guo Jiayang,et al.Empirical Analysis on Model and Parameters of Grid-Connected Doubly Fed Induction Generators in Transient Stability Computation[J].Power System Technology,2011,35(1).
[6]POLLER M A.Doubly-fed induction machine models for stability assessment of wind farms[C]//Proceedings of 2003 IEEE Bologna Power Tech Conference,June 23-26,2003,Bologna,Italy.
[7]常永吉,于继来.含风电场的电力系统长过程动态行为分析[J].电网技术,2009,33(18):133-138.Chang Yongji,Yu Jilai.Analysis on Long-Term Dynamic Behavior of Power Grid Containing Wind Farms[J].Power System Technology,2009,33(18):133-138.
[8]郭家虎,张鲁华,蔡旭.双馈风力发电系统在电网三相短路故障下的响应与保护[J].电力系统保护与控制,2010,38(6):40-44,48.Guo Jiahu,Zhang Luhua,Cai Xu.Response and protection of DFIGsystem under three-phase short circuit fault of grid[J].Power System Protection and Control,2010,38(6):40-44,48.
[9]刘文焯,侯俊贤,汤涌,等.考虑不对称故障的机电暂态-电磁暂态混合仿真方法[J].中国电机工程学报,2010,30(13):8-15.Liu Wenzhuo,Hou Junxian,Tang Yong,et al.Electromechanical Transient/Electromagnetic Transient Hybrid Simulation Method Considering Asymmetric Faults[J].Proceedings of the CSEE,2010,30(13):8-15.
[10]高松,贺仁睦,马进,等.电力系统动态仿真误差评定准则研究[J].电力系统自动化,2006,(4):6-10.Gao Song,He Renmu,Ma Jin,et al.Error Criteriaon Power System Dynamic Simnlation Validation[J].Auto Tation of Electric Power Systems,2006,(4):6-10.
[11]武朝强.电力系统动态仿真误差评价指标研究[D].北京:华北电力大学(北京),2008.
[12]马进,王景钢,贺仁睦.电力系统动态仿真的灵敏度分析[J].电力系统自动化,2005,(17):20-27.
[13]王壮,胡卫东,郁文贤,等.一种基于近邻搜索的快速k-近邻分类算法[J].系统工程与电子技术,2002,(4):100-102.
[14]谢娟英,高红超,谢维信.K近邻优化的密度峰值快速搜索聚类算法[J].中国科学:信息科学,2016,46(2):258-280.
[15]肇莹,刘红星,王仲宇,等.最近邻搜索用于分类问题的一种改进[J].南京大学学报(自然科学版),2009,45(4):455-462
[16]Prabha Kundur.电力系统稳定与控制[M].北京:中国电力出版社,2002.
[17]宋海辉,风力发电技术及工程[M].北京:中国水利水电出版社,2009.
[18]叶杭冶,风力发电机组的控制技术[M].北京:机械工业出版社,2版,2008.
[19]PSASP动态元件模型库用户手册[M].中国电力科学研究院.2010.
[20]印永华.国家电网仿真研究中心建设可行性研究报告[R].北京:中国电力科学研究院,2005.