研究目的
Quantifying the types of errors that are potentially present in models of the distribution system.
研究成果
Understanding the types of errors that are typical in distribution system models, identifying the errors, and correcting those errors is critical in integrating growing penetration of DER into the distribution systems. Accurate distribution planning and operation applications, such as load flow and hosting capacity analysis rely on accurate distribution system models.
研究不足
Manual verification of the errors is difficult and prohibitively expensive and time-consuming. In some cases, it may not even be possible to plausibly verify some of these errors.
1：Experimental Design and Method Selection:
The methodology includes the use of Google Earth imagery and analysis of correlation coefficients to identify and correct errors in distribution system models.
2：Sample Selection and Data Sources:
The AMI data spans a 486-day period for 1 feeder serving ~1000 customers in the northeastern United States.
3：List of Experimental Equipment and Materials:
The dataset contains time series of voltage, real power, and reactive power, GIS coordinates for the customers, the electrical model, equipment information, and customer-transformer connection labels.
4：Experimental Procedures and Operational Workflow:
The process involves analyzing correlation coefficients and other information present in the utility model to identify errors.
5：Data Analysis Methods:
Pearson correlation coefficients are used to analyze the relationship between the customers.
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