Power plant model validation for achieving reliability standard requirements based on recorded on-line disturbance data

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Abstract
This paper describes a novel approach for automated synchronous generator parameter derivation using disturbance data. Instead of traditional off-line testing, this process supports validation of dynamic models for generators and their governor, excitation, and stabilizer systems using data gathered while the units are on-line. The approach is based on using digitally recorded unit responses to system disturbances. Continued model validation is necessary to ensure generating units are simulated correctly. Model validation is imminently to be mandated by the North American Electric Reliability Corporation (NERC) through its modeling, data, and analysis standards. The benefits of the model validation method presented here are explained when compared to traditional techniques, which typically include collecting data from a series of mostly off-line staged tests. The comprehensive process of model validation and a review of the key-limitations of this process are also discussed. Lastly, the paper presents the successful application of this technique to three large thermal units for the purpose of WECC generator model validation and certification. Key results of the case studies are reported together with fruitful insight into the limitations of some of the models available for power plant modeling in planning studies.