引用本文: | 张辉,蒲天骄,王刚,等.基于实测频率轨迹的机组调速器参数辨识[J].电力系统保护与控制,2014,42(1):24-33.[点击复制] |
ZHANG Hui,PU Tian-jiao,WANG Gang,et al.Governor parameter identification of generation system based on measured frequency curve[J].Power System Protection and Control,2014,42(1):24-33[点击复制] |
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摘要: |
提出了一种基于实测频率轨迹曲线实现调速系统参数辨识新方法。建立了调速器系统的输入输出模型,并证明了相应参数的可辨识性。通过设计接口直接调用PSASP软件的机电暂态仿真计算模块,获得电力系统受扰之后的仿真频率曲线;进而基于粒子群优化算法对调速器参数进行调节,使得仿真频率曲线与实测频率曲线尽可能接近,从而实现基于实测频率轨迹曲线的发电机组调速系统参数的辨识。实际系统的算例证明了所提出方法的有效性和正确性,同时所设计的接口在一定程度上扩展了PSASP软件的应用范围。 |
关键词: 调速器 参数辨识 可辨识性 实测频率轨迹 优化算法 |
DOI:10.7667/j.issn.1674-3415.2014.01.004 |
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基金项目: |
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Governor parameter identification of generation system based on measured frequency curve |
ZHANG Hui1,PU Tian-jiao2,WANG Gang3,YU Ting2,WANG Wen-jie3,TANG Wei4,LIN Ji-keng5 |
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Abstract: |
A new approach for governor system parameter identification based on the measured frequency curve is presented. Firstly, an input-output model of governor system is established and the identifiability of corresponding parameters is confirmed. Then the simulated frequency curve of the disturbed power system is acquired by directly invoking PSASP(Power System Analysis Software Package)electromechanical transient simulation module through an interface design. Governor parameters of generation system are iteratively adjusted to optimally match the simulated frequency curve with the measured frequency curve using PSO (Particle Swarm Optimization) algorithm, thus governor system parameter identification based on the measured frequency curve is realized. Simulation results of an actual power system illustrate the feasibility and efficiency of the proposed method, meanwhile application of PSASP is extended through the designed interface. |
Key words: governor parameter identification identifiability measured frequency curve optimization algorithm |