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合肥工业大学电气与自动化工程学院,安徽省 合肥市 230009
李生虎(1974—),男,通信作者,博士,教授,博士生导师,主要研究方向:风电系统分析与控制、电力系统可靠性与概率仿真、高压直流与柔性交流输电技术。E-mail:shenghuli@hfut.edu.cn
蒋以天(1994—),男,硕士研究生,主要研究方向:风电系统稳定分析与控制。E-mail:jiangyitian@mail.hfut.edu.cn
收稿日期:2019-09-12,
修回日期:2020-02-14,
网络出版日期:2020-04-27,
纸质出版日期:2020-08-10
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李生虎,蒋以天.基于无功优化的DFIG并网电力系统OSC-OPF算法[J].电力系统自动化,2020,44(15):70-76.
LI Shenghu,JIANG Yitian.Oscillatory Stability Constrained Optimal Power Flow Algorithm Based on Reactive Power Optimization for DFIG Integrated Power System[J].Automation of Electric Power Systems,2020,44(15):70-76.
李生虎,蒋以天.基于无功优化的DFIG并网电力系统OSC-OPF算法[J].电力系统自动化,2020,44(15):70-76. DOI: 10.7500/AEPS20190912001.
LI Shenghu,JIANG Yitian.Oscillatory Stability Constrained Optimal Power Flow Algorithm Based on Reactive Power Optimization for DFIG Integrated Power System[J].Automation of Electric Power Systems,2020,44(15):70-76. DOI: 10.7500/AEPS20190912001.
双馈感应发电机(DFIG)与同步发电机(SG)间动态交互,影响系统阻尼振荡能力。由于系统状态矩阵由SG和DFIG参数决定,推导振荡模式对受控参数灵敏度的难度增加。针对含DFIG的电力系统,为量化无功调节对阻尼振荡的控制效果,提出阻尼比对SG无功出力灵敏度的解析表达。引入最小阻尼比约束,提出基于无功优化的振荡稳定约束最优潮流(OSC-OPF)模型。根据OSC-OPF拉格朗日乘子,提出稳定约束下网损对SG无功容量的灵敏度。仿真结果证实,所提模型有助于降低风电系统网损并改善其阻尼振荡能力。
The dynamic interaction of synchronous generators (SGs) and doubly-fed induction generators (DFIGs) changes the damping oscillation capability of the system. The system state matrix is decided by the parameters of the SGs and the DFIGs
which increases the difficulty of deriving the sensitivity of the oscillation modes to the control parameters. For the power system with the DFIGs
to quantify the control effect of reactive power adjustment on damping oscillation
the analytical expression of the sensitivity of the damping ratio to the reactive power output of the SGs is proposed. By introducing the constraint of the minimum damping ratio
the oscillatory stability constrained optimal power flow (OSC-OPF) model based on reactive power optimization is proposed. According to the Lagrange multiplier of the OSC-OPF
the sensitivity of the power loss to the reactive power capacity of the SGs under the stability constraint is proposed. The simulation results show that the proposed model helps to reduce the power loss and improve the damping capability of the wind power system.
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