Substation Fingerprinting for Distributed Generator Mapping
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Solution Overview
Problem
Current power distribution systems lack the ability to accurately determine which distributed generators (DGs) are coupled to which feeder lines, leading to incorrect assessments of feeder line capacity and potential over-subscription, as detailed data on DG-feeder line connections and power production is often absent.
Innovation Solution
A system utilizing a master controller and system controllers to correlate DG data with geographical information, generating unique 'fingerprints' or signatures for each DG on a feeder line through data analysis, allowing for accurate mapping of DGs to feeder lines and providing a geographical layout, enabling better management and operation of power distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed data collection and analysis systems are implemented to accurately map DGs to feeder lines, then measurement precision and information completeness improve, but device complexity and implementation cost increase
Solution Approach 1:
The system enables DGs to self-report their operational data and grid events through their own controllers, eliminating the need for complex external monitoring infrastructure. Each DG controller autonomously collects and transmits its own performance data, voltage sags, and grid events, allowing the utility to build accurate DG-to-feeder line mappings using readily available self-generated information.
Solution Approach 2:
The system establishes continuous feedback loops where DG controllers report data to utility controllers, which then analyze the information to improve mapping accuracy. The feedback mechanism uses correlated data from multiple DGs on the same feeder line, comparing their responses to grid events to verify and refine the DG-to-feeder line associations over time.
2Loss of information
If comprehensive DG data collection is performed to determine exact feeder line connections, then information completeness improves, but loss of time for data gathering and processing increases
Solution Approach 1:
The system pre-establishes DG-to-feeder line mappings by continuously collecting and analyzing DG operational data, voltage sag information, and grid event responses during normal operation. This preliminary data gathering and correlation process builds the mapping information proactively, so that when utility planners need to assess feeder line capacity or plan DG interconnections, the DG-to-feeder line associations are already known and readily available.
Solution Approach 2:
The system maintains continuous data collection from DGs regarding their operational status, power production, voltage sags, and grid events. This ongoing data stream allows the utility to continuously refine and update the DG-to-feeder line mappings without requiring periodic manual surveys or interrupting DG operations, ensuring information remains current while minimizing time loss.
Data Source
AI summary
A method and apparatus for mapping distributed generators (DGs) to corresponding power grid feeder lines. In one embodiment, the method comprises obtaining grid data pertaining to a power grid that comprises a plurality of feeder lines; obtaining, for each distributed generator (DG) of a plurality of DGs coupled to the plurality of feeder lines, DG data pertaining to the DG; and determining, based on the grid data and the DG data, a mapping that identifies to which feeder line of the plurality of feeder lines each of the DGs of the plurality of DGs is coupled.