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Load Calibration and Model Validation Methodologies for Power Distribution Systems

机译:配电系统的负载校准和模型验证方法

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摘要

Methodologies to calibrate loads and validate power distribution system models are presented in this paper. The calibration methodology makes use of information contained in historical load and measurement data to adjust loads including the system losses and forecast future load conditions. This unified methodology has been applied to calibrate the loads of distribution systems with varying degrees of complexity. The test results demonstrate that the calibrated loads can be used to provide simulation and prediction of system behavior for both normal and faulted conditions. The validation methodology quantifies the accuracy and uncertainty of the calibrated model and enables both the model developer and the model user to have quantitative support to decide whether the model is adequate for its intended purpose. Validation results are also useful in pinpointing which portion of the model needs to be improved. Load calibration and model validation methodologies are important and timely topics as power systems are entering the era of smart grid and more measurement data will be available for model development, calibration and validation.
机译:本文介绍了用于校准负载和验证配电系统模型的方法。校准方法利用历史负载和测量数据中包含的信息来调整负载,包括系统损耗和预测未来负载状况。这种统一的方法论已被用于校准复杂程度不同的配电系统的负荷。测试结果表明,经过校准的负载可用于正常和故障情况下的系统行为仿真和预测。验证方法量化了校准模型的准确性和不确定性,并使模型开发人员和模型用户都能获得定量支持,以决定模型是否适合其预期目的。验证结果在确定模型的哪些部分需要改进时也很有用。随着电力系统进入智能电网时代,负载校准和模型验证方法学是重要且及时的主题,并且更多测量数据可用于模型开发,校准和验证。

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