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POWER SYSTEM MEASUREMENT BASED MODEL CALIBRATION WITH ENHANCED OPTIMIZATION

机译:基于电源系统测量的基于模型校准,具有增强的优化

摘要

A dynamic simulation engine, having system parameters, may be provided for a component of an electrical power system (e.g., a generator, wind turbine, etc.). A model parameter tuning engine may receive, from a measurement data store, measurement data measured by an electrical power system measurement unit (e.g., a phasor measurement unit or digital fault recorder measuring a disturbance event). The model parameter tuning engine may then pre-condition the measurement data and set-up an optimization problem based on a result of the pre-conditioning. The system parameters of the dynamic simulation engine may be determined by solving the optimization problem with an iterative method until at least one convergence criteria is met. According to some embodiments, solving the optimization problem includes a Jacobian approximation that does not call the dynamic simulation engine if an improvement of residual meets a pre-defined criteria.
机译:可以为电力系统(例如发电机,风力涡轮机等)的部件提供具有系统参数的动态模拟引擎。 模型参数调谐引擎可以从测量数据存储器接收由电力系统测量单元(例如,测量扰动事件的量相测量单元或数字故障记录器)测量的测量数据。 然后,模型参数调谐引擎然后可以根据预处理的结果预先调整测量数据并设置优化问题。 可以通过用迭代方法解决优化问题来确定动态仿真引擎的系统参数,直到满足至少一个收敛标准。 根据一些实施例,解决优化问题包括如果残余的改进符合预定义的标准,则不呼叫动态模拟引擎的雅各比近似。

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