Load Model Verification, Validation and Calibration Framework by Statistical Analysis on Field Data
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Abstract
Accurate load models are critical for power system analysis and operation. A large amount of research work has been done on load modeling. Most of the existing research focuses on developing load models, while little has been done on developing formal load model verification and validation (V&V) methodologies or procedures. Most of the existing load model validation is based on qualitative rather than quantitative analysis. In addition, not all aspects of model V&V problem have been addressed by the existing approaches. To complement the existing methods, this paper proposes a novel load model verification and validation framework that can systematically and more comprehensively examine load model’s effectiveness and accuracy. Statistical analysis, instead of visual check, quantifies the load model’s accuracy, and provides a confidence level of the developed load model for model users. The analysis results can also be used to calibrate load models. The proposed framework can be used as a guidance to systematically examine load models for utility engineers and researchers. The proposed method is demonstrated through analysis of field measurements collected from a utility system.
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- Load Model Verification, Validation and Calibration Framework by Statistical Analysis on Field Data
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Articles in the same Issue
- Placement of Synchronized Measurements for Power System Observability during Cascaded Outages
- A Methodology to Prevent Failure in Single Pole Reclosing Operations
- Load Model Verification, Validation and Calibration Framework by Statistical Analysis on Field Data
- A Kalman Filter Based Technique for Stator Turn-Fault Detection of the Induction Motors
- Multi-objective Design Method for Hybrid Active Power Filter
- A Study on Effect of Concrete Foundations on Resistance and Surface Potentials of Gas Insulated Substation Grounding Systems
- Access Selection Algorithm of Heterogeneous Wireless Networks for Smart Distribution Grid Based on Entropy-Weight and Rough Set
- Voltage Sag due to Pollution Induced Flashover Across Ceramic Insulator Strings
- Study on a Novel Bearing Fault Diagnosis Method from Frequency and Energy Perspective
