Event-Driven AGC Pre-Processing for Power Grid Data
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Solution Overview
Problem
Conventional Automatic Generation Control (AGC) systems waste processing resources by periodically polling and recalculating all electrical power grid data points, even if they have not changed, leading to inefficient use of computing resources.
Innovation Solution
Implementing a pre-processing mechanism to identify and deliver only changed data points to the AGC system, allowing for event-driven processing and reducing unnecessary calculations by using a pre-process component to determine subsets of changed data and trigger relevant AGC applications for efficient calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional AGC systems periodically poll and recalculate all electrical power grid data points, then complete data processing is ensured, but processing time and resource utilization increase significantly
Solution Approach 1:
The patent extracts only the changed data points from the complete set of electrical power grid data. The pre-processing component identifies and extracts subset of data points that have changed since the prior determination, eliminating the need to process unchanged data points in subsequent AGC calculations.
Solution Approach 2:
The patent performs preliminary identification of changed data points before the main AGC calculation process. The pre-processing component determines which data points have changed in advance, allowing the AGC application to focus only on relevant data and avoid unnecessary recalculations.
2Measurement precision
If conventional AGC systems process all electrical power grid data points at every cycle, then data accuracy is maintained, but computing resource utilization increases wastefully
Solution Approach 1:
The patent extracts only the changed data points from the complete set of electrical power grid data. The pre-processing component identifies and extracts subset of data points that have changed since the prior determination, eliminating the need to process unchanged data points in subsequent AGC calculations.
Solution Approach 2:
The patent applies partial action by processing only the necessary subset of changed data points rather than the complete set. The AGC application receives and processes only the subset of changed data points, performing calculations only where needed to maintain accuracy while reducing resource consumption.
3Reliability
If conventional AGC systems recalculate all data points periodically, then up-to-date AGC output is ensured, but processing efficiency decreases
Solution Approach 1:
The patent performs preliminary identification of changed data points before the main AGC calculation process. The pre-processing component determines which data points have changed in advance, allowing the AGC application to focus only on relevant data and avoid unnecessary recalculations.
Solution Approach 2:
The patent implements a dynamic processing approach where the AGC system adapts its calculation scope based on actual data changes. The system dynamically adjusts between full processing and partial processing modes, ensuring up-to-date AGC output while optimizing processing efficiency based on the number and nature of changed data points.
Data Source
AI summary
Systems, methods, and apparatus for pre-processing of electrical power grid data for event-driven automatic generation control (AGC) are presented herein. An AGC application can determine AGC output data, for output to a unit controller that controls power generator(s) related to an electrical power grid, based on current values of a subset of electrical power grid data associated with the electrical power grid that has changed since a prior determination that the electrical power grid data has changed. A pre-process component can determine the subset of the electrical power grid data that has changed since the prior determination, and send the current values of the subset of the electrical power grid data to an area control error component. An event-driven component can determine information in response to an event trigger generated based on processing the current values of the subset of the electrical power grid data received from the pre-process component.


