Smart Meter Event-Model Validation of DER Commitments
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Solution Overview
Problem
The conventional settlement process for validating distributed energy resource (DER) device commitments is lengthy, often taking three months or more, which delays consumer compensation and discourages participation in energy market programs.
Innovation Solution
A computer-implemented method where a smart utility meter determines if a DER device commitment is valid by comparing the commitment with metrology data, automatically validating the commitment and expediting the settlement process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the conventional settlement process is used to validate DER device commitments, then the validation is performed manually by contract owners, but the process takes three months or more, delaying consumer compensation
Solution Approach 1:
The smart meter performs preliminary validation of DER device commitments by comparing reported commitments against actual metrology data in real-time, before the formal settlement process begins. This preliminary action by the smart meter pre-validates commitments, eliminating the need for lengthy manual verification later and enabling immediate consumer compensation.
Solution Approach 2:
The smart meter autonomously validates DER device commitments by automatically comparing commitment data with metrology data without requiring manual intervention from contract owners. This self-service validation capability of the smart meter resolves the contradiction by performing accurate validation instantly, eliminating the months-long manual process while maintaining validation precision.
2Reliability
If manual validation by contract owners is used, then validation can be performed, but consumer compensation is delayed by three months or more
Solution Approach 1:
The manual mechanical validation process performed by contract owners is replaced with an automated electronic validation system in the smart meter. The smart meter electronically compares commitment data with metrology data, maintaining validation reliability while dramatically improving settlement process efficiency by eliminating manual intervention and enabling real-time validation.
Solution Approach 2:
The smart meter acts as an intermediary between DER devices and contract owners, performing automated validation by comparing commitments against metrology data. This intermediary function maintains the reliability that contract owners previously provided through manual validation while dramatically improving efficiency by automating the process and enabling immediate consumer compensation.
3Adaptability or versatility
If DER devices generate commitments indicating modified resource consumption, then consumer compensation can be processed, but the lengthy validation process discourages participation in energy market programs
Solution Approach 1:
The smart meter performs preliminary validation of DER device commitments in real-time by comparing against metrology data, before the formal settlement process. This preliminary action enables immediate consumer compensation, eliminating the three-month delay that discourages participation, while maintaining validation accuracy through automated comparison.
Solution Approach 2:
The smart meter autonomously validates DER device commitments without requiring manual intervention, enabling real-time processing of compensation. This self-service capability eliminates the lengthy validation process that discourages participation in energy market programs, while maintaining reliable validation through automated comparison of commitments with actual metrology data.
Data Source
AI summary
A computing device receives a commitment generated by a distributed resource device, the commitment indicating a type of the distributed resource device and a time interval when the distributed resource device modified usage of a resource at a location; receives an event corresponding to a pattern of usage of the resource at the location during the time interval; identifies an event model that is associated with a pattern of usage of the resource that matches the pattern of usage of the resource at the location during the time interval, the event model being included in a library of event models that associate different patterns of usage of the resource with corresponding types of distributed resource devices; and validates the commitment in response to determining that at least a type of distributed resource device associated with the event model corresponds to the type of distributed resource device indicated by the commitment.


