Resource Controller Signal Compensation for Grid Response Delays
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Solution Overview
Problem
Ancillary service providers in electric grids face inefficiencies due to complex systems, leading to inaccurate tracking of incoming command signals, which affects precision and revenue generation.
Innovation Solution
A compensation equation is developed through regression analysis of performance data and programmed into a resource controller to adjust incoming signals, mitigating system non-idealities and improving resource response precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a resource system participates in ancillary services in an electric grid, then revenue generation is enabled, but system delays and non-idealities cause inaccurate tracking of incoming command signals, reducing precision
Solution Approach 1:
The system performs preliminary characterization of its own response behavior by capturing performance data and developing a compensation equation through regression analysis. This pre-computed model is then used to adjust incoming signals in real-time, compensating for known system delays and non-idealities before they affect tracking accuracy.
Solution Approach 2:
The system uses captured performance data as feedback to develop a compensation equation that models the relationship between incoming signals and actual resource response. This feedback loop allows the system to identify and correct for its own delays and non-idealities, improving precision without adding physical complexity.
2Measurement precision
If the resource system adjusts its response to improve tracking precision, then performance scores improve, but the system complexity increases due to compensation modules and regression analysis
Solution Approach 1:
The compensation equation acts as a mathematical intermediary between the incoming control signals and the resource system's actual response. Rather than physically modifying the resource system, the intermediary model compensates for non-idealities by adjusting the interpretation of incoming signals, achieving precision improvement without physical complexity.
Solution Approach 2:
The system replaces physical modifications or hardware complexity with a computational approach. By using regression analysis and mathematical compensation equations, the system achieves precision improvement through software-based signal adjustment rather than mechanical or physical system modifications.
Data Source
AI summary
Methods for adjusting a resource response in a resource system are provided including capturing and storing current performance data associated with the resource system; performing a regression analysis on the captured and stores current performance data to provide a best linear regression fit; developing a compensation equation based on the best linear regression fit; programming the compensation equation into a compensation module at resource controller at the resource system; and adjusting, at the resource controller, incoming signals from a control center to compensate for system non-idealities to provide an adjusted system. Related systems are also provided.


