Smart Meter Event Validation for DER Commitment Settlement
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Solution Overview
Problem
The conventional settlement process for validating commitments made by distributed energy resource (DER) devices in energy markets is lengthy, often taking three months or more, which discourages consumer participation and hampers efficient resource distribution.
Innovation Solution
Implementing a smart utility meter that automatically validates DER device commitments by analyzing metrology data to confirm the operations performed by the devices, using a library of event models to map events to specific operations, thereby expediting the settlement process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual validation process is used for DER device commitments, then validation accuracy can be maintained through human review, but settlement time increases to three months or more
Solution Approach 1:
The smart utility meter automatically validates DER device commitments by comparing device-reported commitments against actual metrology data without requiring manual intervention. The meter self-validates commitments by detecting events in the metrology data that correspond to the committed operations, eliminating the need for human reviewers and reducing settlement time from months to near-real-time.
Solution Approach 2:
The patent replaces the manual mechanical validation process with an automated electronic validation system. The smart utility meter uses electronic event detection and comparison algorithms to validate commitments automatically, substituting human review with machine-based validation that operates continuously and instantaneously.
2Productivity
If automated validation is implemented using smart utility meters, then settlement time is significantly reduced, but system complexity increases due to integration requirements
Solution Approach 1:
The smart utility meter is designed to perform multiple functions: traditional metering of resource consumption and the new function of validating DER device commitments. By making the meter universal and multi-functional, the patent avoids adding separate validation hardware systems, thereby reducing overall system complexity while achieving automated validation and improved productivity.
Solution Approach 2:
The patent merges the validation function with the existing smart utility meter infrastructure. Instead of creating a separate validation system that would increase complexity, the validation capabilities are integrated into the meter itself, combining metering and validation functions in a single device.
3Measurement precision
If detailed event modeling is used to map events to specific operations, then validation accuracy improves, but processing complexity increases
Solution Approach 1:
The patent uses parameter changes in the metrology data (such as changes in power consumption patterns, voltage, or current) to detect events that correspond to DER device operations. By monitoring changes in measurable parameters rather than requiring complex event models, the system achieves accurate validation while keeping the processing relatively simple.
Solution Approach 2:
The system uses feedback from the metrology data to validate commitments. The smart utility meter continuously monitors the resource distribution and compares actual events against committed operations, using this feedback loop to achieve accurate validation without requiring overly complex predictive models.
Data Source
AI summary
A computing device receives a commitment generated by a distributed resource device, the commitment indicating an operation performed by 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 operations; and validates the commitment in response to determining that at least a type of operation associated with the event model corresponds to the operation performed by the distributed resource device indicated in the commitment.