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为了辨识抽水蓄能电站发电机多种运行工况下的模型参数,通过建立发电机的微分方程模型,并经过数学推导建立了发电机实测数据变量与发电机待辨识参数数学关系。基于时域最小二乘法的原理,给出了发电机各工况下适用的参数辨识方法,并通过抽水蓄能电站的SCADA(supervisory control and data acquisition)数据采集系统获得运行数据并对各工况参数进行辨识。仿真验算运用南方电网某抽水蓄能在发电和抽水两种工况下的实际运行数据,通过编制C++程序分析计算得到发电工况和抽水工况下的抽水蓄能整个发电机系统的参数值。将参数值与实际铭牌值相比,误差不超过5%。仿真结果表明,运用高采样速度的实时运行数据,能够激发抽水蓄能机组的暂态和次暂态过程。这种经过采样数据和公式推导相结合的辨识方法比通过传统做实验的辨识方法更简单、方便、有效,且适合抽水蓄能机组多工况运行的特点。
In order to identify the model parameters of pumped storage power station under various operating conditions, the mathematical relationship between the measured data variables of generator and the parameters to be identified by the generator is established by establishing the differential equation model of the generator and mathematically deducing. Based on the principle of time-domain least square method, the applicable parameter identification method for each condition of generator is given. The operating data is obtained through the data acquisition system of SCADA (Supervisory Control and Data Acquisition) Parameter identification. Through the calculation and calculation of the C ++ program, the parameter values of the pumped storage generator system under the power generation conditions and the pumping conditions are obtained by using the actual operation data of a certain pumped storage plant of the China Southern Power Grid under generating and pumping conditions. The value of the parameter compared with the actual nameplate, the error does not exceed 5%. The simulation results show that the use of high sampling speed real-time running data can stimulate the transient and sub-transient process of pumped storage unit. This method of combining the sampled data with the derivation of the formula is simpler, more convenient, more efficient and more suitable for the multi-mode operation of pumped storage units than the conventional method of identification.