基于分布式模型预测控制的风电场参与AGC控制方法Wind Farm Participating in AGC Based on Distributed Model Predictive Control
叶林;陈超宇;张慈杭;孙舶皓;汤涌;仲悟之;翟丙旭;蓝海波;吴林林;
摘要(Abstract):
随着风电并网规模的不断扩大,常规电源调频已很难满足系统频率稳定性要求,需要风电集群参与系统调频。首先根据风电集群并网特点,建立含风电集群的多区域互联系统自动发电控制(automatic generation control,AGC)模型;然后根据风电场的超短期功率预测值判断风电场在调频过程中的备用容量,基于分布式模型预测控制原理,以尽量利用风电参与AGC控制、减少火电机组出力为目标,提出一种含风电集群的多区域互联系统AGC控制方法。即利用风电场的备用容量实现风电场参与AGC控制,减少常规电源调频压力。最后通过算例分析,对所提出策略的可行性与有效性进行了验证。
关键词(KeyWords): 风电集群;风电场备用容量;分布式模型预测控制;自动发电控制
基金项目(Foundation): 国家电网公司科技项目(5201011600TS);; 国家重点研发计划项目(2017YFB0902200);; 国家自然科学基金中英国际合作交流基金项目(51711530227),国家自然科学基金项目(51477174)~~
作者(Author): 叶林;陈超宇;张慈杭;孙舶皓;汤涌;仲悟之;翟丙旭;蓝海波;吴林林;
Email:
DOI: 10.13335/j.1000-3673.pst.2019.0205
参考文献(References):
- [1]Britain National Grid Great.The grid code:connection conditions[DB/EB].[2018-11-15].https://www.nationalgrid.com/sites/default/files/documents/8589935310-Complete&20Grid%20Code.pdf.
- [2]Nordel.Nordel grid code 2007(Nordic collection of rules)[DB/EB].[2018-11-15].http://webhotel2.tut.fi/units/set/research/adine/materiaalit/Active%20network/System&20integration/Grid%20codes/Nordel%20grid%20code%202007-00129-01-E.pdf.
- [3]GmbH EON Netz.Grid Code-high and extra high voltage[DB/EB].(2006-04-01)[2018-11-15].http://www.nerc.com/docs/pc/ivgtf/German_EON_Grid_Code.pdf.
- [4]中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.GB/T 19963-2011风电场接入电力系统技术规定[S].北京:中国标准出版社.
- [5]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].电力系统自动化,2013,37(4):960-966.Lin Li,Xie Yongjun,Zhu Chenchen,et al.Priority list-based output-restricted active power control strategy for wind farms[J].Power System Technology,2013,37(4):960-966(in Chinese).
- [6]林俐,朱晨宸,郑太一,等.风电集群有功功率控制及其策略[J].电力系统自动化,2014,38(14):9-16.Lin Li,Zhu Chenchen,Zheng Taiyi,et al.Active power control of wind farm cluster and its strategy[J].Automation of Electric Power Systems,2014,38(14):9-16(in Chinese).
- [7]王成福,李熙娟,梁军,等.计及预测功率的含储能风场群优化调控方法[J].电网技术,2017,41(4):1253-1260.Wang Chengfu,Li Xijuan,Liang Jun,et al.Optimal dispatch and control of active power for wind farm cluster including storages considering the forecasting power[J].Power System Technology,2017,41(4):1253-1260(in Chinese).
- [8]潘伟,李勇,曹一家,等.用于大规模集中式风电并网的VSC-HVDC频率控制方法[J].电力自动化设备,2015,35(5):94-99.Pan Wei,Li Yong,Cao Yijia,et al.Frequency control of grid-connection system based on VSC-HVDC for large-scale centralized wind farm[J].Electric Power Automation Equipment,2015,35(5):94-99(in Chinese).
- [9]Attya A B,Harrkopf T.Wind farms dispatching to manage the activation of frequency support algorithms embedded in connected wind turbines[J].Electrical Power and Energy Systems,2013,53:923-936.
- [10]姚亮,陈峦,郑彬,等.风-火互补发电系统区域频率控制的策略研究[J].电力系统保护与控制,2016,44(11):46-52.Yao Liang,Chen Luan,Zheng Bin,et al.Research on area frequency control strategy of wind-fire hybrid power generation system[J].Power System Protection and Control,2016,44(11):46-52(in Chinese).
- [11]杨森,杜文娟,王旭斌,等.风火-需求侧响应协调频率控制方法[J].电网技术,2017,41(3):845-853.Yang Sen,Du Wenjuan,Wang Xubin,et al.Coordinated frequency control method of wind/thermal/demand response[J].Power System Technology,2017,41(3):845-853(in Chinese).
- [12]席裕庚,李德伟,林姝.模型预测控制--现状与挑战[J].自动化学报,2013,39(3):222-236.Xi Yugeng,Li Dewei,Lin Shu.Model predictive control-status and challenges[J].Acta Automatica Sinica,2013,39(3):222-236(in Chinese).
- [13]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 power for accommodating large-scale wind power integration[J].Automation of Electric Power Systems,2014,38(9):6-14(in Chinese).
- [14]张彦,张涛,刘亚杰,等.基于随机模型预测控制的能源局域网优化调度研究[J].中国电机工程学报,2016,36(13):3451-3462.Zhang Yan,Zhang Tao,Liu Yajie,et al.Stochastic model predictive control for energy local management optimization of an energy local network[J].Proceedings of the CSEE,2016,36(13):3451-3462(in Chinese).
- [15]周念成,付鹏武,王强钢,等.基于模型预测控制的两区域互联电网AGC系统研究[J].电力系统保护与控制,2012,40(22):46-51.Zhou Niancheng,Fu Pengwu,Wang Qianggang,et al.Research on AGC of two area interconnected power system based on MPC[J].Power System Protection and Control,2012,40(22):46-51(in Chinese).
- [16]杨德友,蔡国伟.含规模化风电场/群的互联电网负荷频率广域分散预测控制[J].中国电机工程学报,2015,35(3):583-591.Yang Deyou,Cai Guowei.Decentralized model predictive control based load frequency control for high wind power penetrated power systems[J].Proceedings of the CSEE,2015,35(3):583-591(in Chinese).
- [17]Zhang Yi,Liu Xiangjie,Qu Bin.Distributed model predictive load frequency control of multi-area power system with DFIGs[J].IEEE/CAA Journal of Automatica Sinica,2017,1(4):125-135.
- [18]Ma Miaomiao,Chen Hong,Liu Xiangjie,et al.Distributed model predictive load frequency control of multi-area interconnected power system[J].International Journal of Electrical Power&Energy Systems,2014,62:289-298.
- [19]Anne M E,Lars I,Kjetil U,et al.Model predictive load-frequency control taking into account imbalance uncertainty[J].Control Engineering Practice,2016,53:139-150.
- [20]Zheng Yang,Zhou Jianzhong,Xu Yanhe,et al.A distributed model predictive control based load frequency control scheme for multi-area interconnected power system using discrete-time Laguerre functions[J].ISA Transactions,2017,68:127-140.
- [21]孙舶皓,汤涌,叶林,等.基于分层分布式模型预测控制的多时空尺度协调风电集群综合频率控制策略[J].中国电机工程学报,2019,39(1):155-167.Sun Bohao,Tang Yong,Ye Lin,et al.Integrated frequency control strategy for wind power cluster with multiple temporal-spatial scale coordination based on H-DMPC[J].Proceedings of the CSEE,2019,39(1):155-167(in Chinese).
- [22]Poul S,Anca D H,Florinn I,et al.Wind farm models and control strategies[R].Riso-R Report,Denmark,2005.
- [23]Chang-Chien L R,Yin Y C.Strategies for operating wind power in a similar manner of conventional power plant[J].IEEE Transactions on Energy Conversion,2009,24(4):926-934.
- [24]刘吉臻,姚琦,柳玉,等.风火联合调度的风电场一次调频控制策略研究[J].中国电机工程学报,2017,37(12):3462-3469.Liu Jizhen,Yao Qi,Liu Yu,et al.Wind farm primary frequency control strategy based on wind&thermal power joint control[J].Proceedings of the CSEE,2017,37(12):3462-3469(in Chinese).
- [25]Eddie Y,Sumedha R,Arindam G.Wind speed and direction forecasting for wind power generation using ARIMA model[C]//2017Australasian Universities Power Engineering Conference(AUPEC),2017:19-22.
- [26]Grigg C,Wong P,Albrecht P,et al.The IEEE reliability test system-1996[J].IEEE Transactions on Power Systems,1999,14(3):1010-1020.