Secondary Feeder GIS Correction for Load and DER Node Assignment
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Solution Overview
Problem
Existing geographic information system (GIS) models in secondary distribution circuits of electric utilities contain errors such as erroneous geographical locations, mismatched element parameters, and incorrect network connectivity, which complicate management, maintenance, and operation of distribution systems, especially with the integration of distributed energy resources and advanced metering infrastructure.
Innovation Solution
A system utilizing a nested density-based spatial clustering (DBSCAN) method paired with an optimization method to correct GIS coordinates of loads and distributed energy resource nodes, using municipal parcel GIS delimitation data and utility secondary feeder topology data, to assign accurate geographic locations and reduce errors in GIS databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual work is used to construct GIS databases with spatial information, then data accuracy can be maintained, but labor intensity and cost increase significantly
Solution Approach 1:
The patent replaces manual mechanical work with an automated computer-based system that uses optimization algorithms and spatial analysis to correct GIS coordinates. The system automatically identifies and corrects coordinate errors by optimizing the spatial relationships between distribution elements, eliminating the need for labor-intensive manual verification while maintaining high accuracy standards.
Solution Approach 2:
The system enables self-correction of GIS data by using the existing database structure and spatial relationships to automatically identify and correct coordinate errors. The optimization algorithm autonomously adjusts coordinates to satisfy topological constraints without requiring external manual intervention, making the system self-sufficient in correcting its own data errors.
2Loss of time
If automated methods are used to correct GIS coordinates, then labor intensity decreases, but measurement precision of coordinate locations may be compromised
Solution Approach 1:
The system incorporates feedback mechanisms where the optimization algorithm continuously evaluates the spatial relationships and topological constraints, adjusting coordinates iteratively to improve accuracy. The system uses the existing correct spatial relationships as feedback to guide the correction process, ensuring that automated corrections maintain high precision by constantly verifying against known constraints.
Solution Approach 2:
The system performs preliminary analysis of the GIS database structure, identifying topological constraints and spatial relationships before executing coordinate corrections. By pre-processing the data to understand the correct spatial configuration, the system ensures that subsequent automated corrections are guided by accurate reference information, maintaining measurement precision while achieving efficient automated correction.
3Reliability
If extensive manual line inspection patrols are conducted to correct topology errors, then data reliability improves, but productivity and cost increase
Solution Approach 1:
The patent replaces manual line inspection patrols with an automated computer-based optimization system that rapidly analyzes and corrects topology errors. The system uses algorithms to automatically identify topological inconsistencies and correct coordinates, achieving both high reliability in topology accuracy and high productivity in correction speed, eliminating the trade-off present in manual inspection methods.
Solution Approach 2:
The system applies optimization to all GIS coordinates simultaneously rather than conducting selective manual inspections. By applying the correction algorithm comprehensively across the entire dataset, the system achieves high reliability through complete coverage while maintaining high productivity through automated parallel processing, surpassing the limitations of partial manual inspection approaches.
Data Source
AI summary
A system for accurate secondary network topology geographic information system (GIS) coordinates correction provides a more accurate feeder topology for utilities to estimate and operate distribution systems by assigning the load and distributed energy resources (DER) nodes to their corresponding customer location. To simplify the complexity of the system, only two commonly available inputs are being used as input data: municipal parcel GIS delimitation data, and utility secondary feeder topology database. The system includes a three-stage framework: the first stage reads and processes the raw input data; the second stage works automatically with no human intervention to assign the load and DER nodes to their associated location; the third stage provides the load and DER coordinates and physical address.