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不平衡电网下双馈感应发电机的虚拟同步机控制优化策略
作者:
作者单位:

1.智能电网保护和运行控制国家重点实验室,江苏省南京市 211106;2.南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106;3.浙江大学电气工程学院,浙江省杭州市 310027

作者简介:

孙军(1969—),男,硕士,高级工程师,主要研究方向:电力系统自动化仿真与检测技术。E-mail:sunjun2001@sgepri.sgcc.com.cn
蒋天龙(1994—),男,硕士研究生,主要研究方向:新能源发电技术。E-mail:1143194700@qq.com
王仰铭(1996—),男,硕士研究生,主要研究方向:变速恒频双馈异步风力发电技术。E-mail:244857304@qq.com
孙丹(1975—),女,通信作者,博士,教授,主要研究方向:交流调速与风力发电技术等。E-mail:sundan@zju.edu.cn

通讯作者:

基金项目:

浙江省自然科学基金资助项目(LZ18E070001)。


Optimization Strategy of Virtual Synchronous Generator Control for Doubly-fed Induction Generator in Unbalanced Power Grid
Author:
Affiliation:

1.State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China;2.NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing 211106, China;3.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China

Fund Project:

This work is supported by Zhejiang Provincial Natural Science Foundation of China (No. LZ18E070001).

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    摘要:

    由于虚拟同步机(VSG)控制技术的控制带宽有限,因此当电网电压不平衡时,VSG控制无法有效控制电网负序电压引起的功率二倍频波动分量。当电压长时间不平衡时将会引起双馈感应发电机(DFIG)定、转子电流畸变,功率及转矩振荡等问题,严重影响系统输出的电能质量及系统运行性能。针对此问题,文中提出一种采用二阶广义积分器对DFIG电磁转矩及无功功率二倍频脉动进行定量控制的方法,使DFIG的VSG控制系统在不平衡电网条件下可以实现3种控制目标,即定子电流正弦且平衡、定子电流正弦且有功功率恒定和定子电流正弦且无功功率及电磁转矩同时恒定。同时,可根据电网实时要求对各控制目标进行灵活切换,提高了DFIG的VSG控制系统的控制性能。最后,所提方法的有效性通过仿真结果得到了验证。

    Abstract:

    When the grid voltage is unbalanced, since the control bandwidth of the virtual synchronous generator (VSG) is limited, it has almost no effective control over the double-frequency fluctuation component of the power caused by the negative sequence voltage of the power grid. Therefore, the long-term voltage imbalance will cause problems such as stator and rotor current distortion, power and torque oscillation in doubly-fed induction generator (DFIG), which seriously affect the output power quality and operation performance in the system. In order to solve these problems, this paper proposes a method to quantitatively control the electromagnetic torque and the double-frequency pulsation of reactive power for DFIG by using the second-order generalized integrator (SOGI). This method enables the VSG control system of DFIG to achieve three control objectives under unbalanced power grid conditions, namely balanced and sinusoidal stator current, sinusoidal stator current and constant active power, sinusoidal stator current and constant reactive power and electromagnetic torque. At the same time, each control target can be flexibly switched according to the real-time requirements of the power grid, which improves the control performance of VSG control system for DFIG. Finally, the effectiveness of the proposed strategy is verified by simulation results.

    图1 转矩-无功谐振控制环Fig.1 Control loop of torque-reactive power resonance
    图1 转矩-无功谐振控制环Fig.1 Control loop of torque-reactive power resonance
    图2 不平衡电网下优化策略控制框图Fig.2 Control block diagram of optimization strategy in unbalanced grid
    图3 VSG控制优化策略仿真结果(目标1)Fig.3 Simulation results of optimization strategy for VSG control (target 1)
    图4 VSG控制优化策略仿真结果(目标2)Fig.4 Simulation results of optimization strategy for VSG control (target 2)
    图5 VSG控制优化策略仿真结果(目标3)Fig.5 Simulation results of optimization strategy for VSG control (target 3)
    图 双馈电机虚拟同步控制框图Fig. Virtual synchronous generator control of DFIG
    图 DFIG等效电路图Fig. DFIG equivalent circuit
    图 双馈电机虚拟同步控制框图Fig. Virtual synchronous generator control of DFIG
    图 SOGI幅频特性伯德图(Kr=50,ωc=1)Fig. Amplitude-frequency characteristic of SOGI
    图 原有虚拟同步控制仿真结果Fig. Simulation results of original VSG control
    图 电网动态变化仿真仿真结果(目标3)Fig. Simulation results of grid dynamic change
    表 1 Table 1 System parameters of DFIG control system
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引用本文

孙军,蒋天龙,王仰铭,等.不平衡电网下双馈感应发电机的虚拟同步机控制优化策略[J].电力系统自动化,2020,44(10):135-144. DOI:10.7500/AEPS20190708005.
SUN Jun,JIANG Tianlong,WANG Yangming,et al.Optimization Strategy of Virtual Synchronous Generator Control for Doubly-fed Induction Generator in Unbalanced Power Grid[J].Automation of Electric Power Systems,2020,44(10):135-144. DOI:10.7500/AEPS20190708005.

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  • 收稿日期:2019-07-08
  • 最后修改日期:2019-11-26
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  • 在线发布日期: 2020-05-22
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