基于虚拟惯量控制的风电电力系统电压稳定性研究
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摘要
含风电电力系统外送是解决能源丰富基地电力消纳问题和负荷中心能源短缺问题的主要方案。随着双馈风电机组并网容量的不断增大,研究含双馈风电机组的风电电力系统电压稳定性的意义重大。大规模风电并网后导致电力系统总转动惯量下降,系统稳定性降低,具备附加虚拟惯量控制的风电机组可改善系统点电压稳定性。分析了风电电力系统稳定性机理和双馈风电机组的附加虚拟惯量控制策略。利用DIgSILENT/PowerFactory电力仿真软件绘制哈密地区三个风电场群的P-V、Q-V曲线得到有功裕度与无功裕度,并对比分析了附加虚拟惯量控制前后对系统静态电压和暂态电压稳定性的影响。仿真结果表明,附加虚拟惯量控制不仅能提高静态电压稳定极限,降低电力系统有功无功灵敏度,提高系统静态电压稳定性,而且能抑制频率和转速剧增,增加功率,从而提高系统暂态电压稳定性。
The delivery of wind power-based power system is the main solution to solve the problem of power consumption in energy-rich bases and energy shortage in load centers. With ever increasing of grid-connected capacity of double-fed wind turbines,it is of great significance to study the voltage stability of wind power system. However,the large-scale wind power grid connection leads to a reduction in the total rotational inertia of the power system and the system stability is reduced. The additional virtual inertial control can be adopted to solve grid connection stability problems. The stability mechanism of wind power system and the additional virtual inertial control strategy of doubly-fed wind turbine are analyzed. The DIgSILENT/PowerFactory power simulation software is used to get the P-V and Q-V curves of the three wind farms in Hami area so to obtain the active and reactive power margin.The influence of the virtual inertia control on the system static voltage stability and transient voltage stability is compared and analyzed. It is shown by the simulation resultthat the additional virtual inertia control cannot only increase the static voltage stability limit,reduce the active and reactive power sensitivity of the power system,and improve static voltage stability of the whole system,but also suppress abrupt increase of frequency revolution and increase the power,thus improving transient voltage stability of entire system.
The delivery of wind power-based power system is the main solution to solve the problem of power consumption in energy-rich bases and energy shortage in load centers. With ever increasing of grid-connected capacity of double-fed wind turbines,it is of great significance to study the voltage stability of wind power system. However,the large-scale wind power grid connection leads to a reduction in the total rotational inertia of the power system and the system stability is reduced. The additional virtual inertial control can be adopted to solve grid connection stability problems. The stability mechanism of wind power system and the additional virtual inertial control strategy of doubly-fed wind turbine are analyzed. The DIgSILENT/PowerFactory power simulation software is used to get the P-V and Q-V curves of the three wind farms in Hami area so to obtain the active and reactive power margin.The influence of the virtual inertia control on the system static voltage stability and transient voltage stability is compared and analyzed. It is shown by the simulation resultthat the additional virtual inertia control cannot only increase the static voltage stability limit,reduce the active and reactive power sensitivity of the power system,and improve static voltage stability of the whole system,but also suppress abrupt increase of frequency revolution and increase the power,thus improving transient voltage stability of entire system.
引文
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[15]王刚,侍乔明,崔志勇,等.一种风力机虚拟惯量控制与传统发电机调速控制的协调方法[J].电网技术,2015,39(10):2794-2801.WANG Gang,SHI Qiaoming,CUI Zhiyong,et al.A coordinated strategy of virtual inertia control of wind turbine and governor control of conventional generator[J].Power System Technology,2015,39(10):2794-2801.
[16]董贺贺,张延迟,杨宏坤,等.基于双馈感应风机的虚拟惯量控制研究[J].可再生能源,2016,34(8):1174-1179.DONG Hehe,ZHANG Yanchi,YANG Hongkun,et al.Research on virtual inertia control based on doubly fed induction generator[J].Renewable Energy Resources,2016,34(8):1174-1179.
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[2]赵理威,张新燕,尹勋,等.混合双馈入系统对风电外送能力的提升分析[J].电力电容器与无功补偿,2017,38(1):144-148.ZHAO Liwei,ZHANG Xinyan,YIN Xun,et al.Analysis on the mixed dual feedin system in improving wind power transmission capacity[J].Power Capacitor&Reactive Power Compensation,2017,38(1):144-148.
[3]武家辉,王海云,王维庆,等.混合三端直流输电系统在风火打捆并网中的应用及其控制策略[J].电力系统保护与控制,2016,44(2):49-55.WU Jiahui,WANG Haiyun,WANG Weiqing,et al.A bundling system of windcoal power plants and its control strategies based on hybrid MTDC transmissions[J].Power System Protection and Control,2016,44(2):49-55.
[4]赛亚勒·阿布都力江,王海云,武家辉.基于储能装置的风火打捆直流输电系统稳定性研究[J].可再生能源,2016,34(2):203-207.Saiyale Abudoulijiang,WANG Haiyun,WU Jiahui.Study on transient stability of windthermal power HVDC transmission system based on SMES[J].Renewable Energy Resources,2016,34(2):203-207.
[5]郭小江,赵丽莉.风火打捆交直流外送系统功角暂态稳定研究[J].中国电机工程学报,2013,36(22):19-25.GUO Xiaojiang,ZHAO Lili.Study on angle transient stability for wind thermal bundled power transmitted by AC/DCsystem[J].Proceedings of the CSEE,2013,36(22):19-25.
[6]TAMRAKAR U,SHRESTHA D,MAHARJAN M,et al.Virtual inertia:current trends and future directions[Z],2017:654.
[7]陈润泽,吴文传.双馈风电机组惯量控制对系统小干扰稳定的影响[J].电力系统自动化,2014(23):6-12.CHEN Runze,WU Wenchuan.Impact of inertia control of DFIG wind turbines on system smallsignal stability[J].Automation of Electric Power Systems,2014(23):6-12.
[8]马静,李益楠,邱扬,等.双馈风电机组虚拟惯量控制对系统小干扰稳定性的影响[J].电力系统自动化,2016,40(16):1-7.MA Jing,LI Yinan,QIU Yang,et al.Impact of virtual inertia control of DFIG wind turbines on system smallsignal stability[J].Automatic of Electric Power Systems,2016,40(16):1-7.
[9]李益楠.含虚拟惯量控制的双馈风电机组接入对系统小干扰稳定性的影响分析[D].北京:华北电力大学,2016.
[10]JING Ma,SONG Zhangxiang,ZHANG Yongxin,et al.Model order reduction analysis of DFIG integration on the power system small signal stability considering the virtual inertia control[J].IET Generation Transmission&Distribution,2017,11(16):4087-4095.
[11]杨列銮,丁坤,汪宁渤.双馈异步风电机组模拟惯量响应控制技术综述[J].中国电力,2014,47(11):79-83.YANG Lieluan,DING Kun,WANG Ningbo.Review of emulated inertial response control technology of DFIG based wind turbine generator[J].Electric Power,2014,47(11):79-83.
[12]张祥宇,王爽,王毅,等.含可控惯量发电系统的功角暂态稳定分析与惯性控制策略[J].电力建设,2018,39(1):106-112.ZHANG Xiangyu,WANG Shuang,WANG Yi,et al.Power angle transient stability analysis and inertial control strategy for power generation system with controlled inertia[J].Electric Power Construction,2018,39(1):106-112.
[13]陈宇航,王刚.一种新型风电场虚拟惯量协同控制策略[J].电力系统自动化,2015,39(5):27-33.CHEN Yuhang,WANG Gang.A new coordinated virtual inertia control strategy for wind farms[J].Automation of Electric Power Systems,2015,39(5):27-33.
[14]KERDPHOL T,FATHIN S R,MITANI Y,et al.Virtual inertia control based model predictive control for microgrid frequency stabilization considering high renewable energy integration[J].Sustainability,2017,9(5):1-21.
[15]王刚,侍乔明,崔志勇,等.一种风力机虚拟惯量控制与传统发电机调速控制的协调方法[J].电网技术,2015,39(10):2794-2801.WANG Gang,SHI Qiaoming,CUI Zhiyong,et al.A coordinated strategy of virtual inertia control of wind turbine and governor control of conventional generator[J].Power System Technology,2015,39(10):2794-2801.
[16]董贺贺,张延迟,杨宏坤,等.基于双馈感应风机的虚拟惯量控制研究[J].可再生能源,2016,34(8):1174-1179.DONG Hehe,ZHANG Yanchi,YANG Hongkun,et al.Research on virtual inertia control based on doubly fed induction generator[J].Renewable Energy Resources,2016,34(8):1174-1179.
[17]HOSSEINIPOUR A,HOJABRI H.Virtual inertia control of pv systems for dynamic performance and damping enhancement of DC microgrids with constant power loads[J]..IETRenewable Power Generation,2018,12(4):430-438.
[18]王清.双馈风电接入对电力系统稳定性影响机理研究[D].北京:华北电力大学,2016.