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考虑超低频振荡的水轮机调速器参数多目标鲁棒设计
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作者单位:

1. 浙江大学电气工程学院, 浙江省杭州市 310027; 2. 云南电力调度控制中心, 云南省昆明市 650011

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国家重点研发计划资助项目(2016YFB0900605)


Multi-objective Robust Design of Hydro-turbine Governor Parameter Considering Ultra-low Frequency Oscillation
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Affiliation:

1. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2. Yunnan Electric Power Dispatching and Control Center, Kunming 650011, China

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    摘要:

    超低频振荡威胁电网安全稳定运行,可通过调整水轮机调速器参数抑制。水轮机调速器参数设计应同时考虑系统稳定性与跟踪性能,且所设计的参数应具备足够的鲁棒性以应对运行方式变化。首先,利用矩阵扰动理论严格地证明了在超低频振荡频段范围内使用统一频率模型代替复杂完整模型的适用性。在此基础上,基于结构奇异值理论提出一种水轮机调速器参数设计方法。方法中将运行方式变化处理为统一频率模型中的摄动,且在评价输出权函数中包含了稳定性参数与跟踪性能参数,使得所设计参数能同时满足多个运行方式的稳定性与跟踪性能要求。所提方法的有效性通过云南电网算例得到了验证。

    Abstract:

    Ultra-low frequency oscillation threatens the safe and stable operation of power grids and can be damped by adjusting the hydro-turbine governor parameters. The hydro-turbine governor parameter design should consider both stability and tracking performance, and the designed parameters should be robust enough to cope with changes in operation condition. Firstly, the matrix perturbation theory is used to rigorously prove the applicability of single-frequency model instead of the complex full model in the frequency range of ultra-low frequency oscillation. Based on the structured singular value theory, a parameter design method for hydro-turbine governor is proposed. The operation condition change is treated as perturbation in the single-frequency model, and the stability parameter and tracking performance parameter are included in the evaluation output weight function, so that the designed parameters can simultaneously satisfy the stability and tracking performance of the systems in multiple operation conditions. Case studies of Yunnan Power Grid of China validate the effectiveness of the proposed method.

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江崇熙,周靖皓,石鹏,等.考虑超低频振荡的水轮机调速器参数多目标鲁棒设计[J].电力系统自动化,2019,43(21):125-131. DOI:10.7500/AEPS20181107003.
JIANG Chongxi, ZHOU Jinghao, SHI Peng,et al.Multi-objective Robust Design of Hydro-turbine Governor Parameter Considering Ultra-low Frequency Oscillation[J].Automation of Electric Power Systems,2019,43(21):125-131. DOI:10.7500/AEPS20181107003.

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历史
  • 收稿日期:2018-11-07
  • 最后修改日期:2019-05-22
  • 录用日期:2019-03-18
  • 在线发布日期: 2019-05-17
  • 出版日期: