Edge Data Processors for Power Distribution Instability Detection
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Solution Overview
Problem
Power distribution systems face increased instability due to complexity, deregulation, smart appliances, and fluctuations in renewable energy sources, leading to unpredictable demand and supply fluctuations, which current methods struggle to detect and correct efficiently, resulting in potential power loss and infrastructure damage.
Innovation Solution
The implementation of edge data processors communicatively coupled with tertiary sampling devices to calculate and compare the center of inertia of a power distribution system, allowing for faster detection and reaction to instabilities by processing phasor data locally and remotely, reducing detection and reaction times, and enabling autonomous fault correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized control methods are used to detect and correct instabilities, then system-wide coordination is achieved, but detection and reaction times are increased
Solution Approach 1:
The patent divides the centralized control system into distributed edge data processors located at different points in the power distribution system. Each edge processor independently calculates the center of inertia for its local region and communicates with tertiary sampling devices, enabling parallel processing and faster detection without sacrificing system-wide coordination.
Solution Approach 2:
The patent introduces a hierarchical dimension to the control architecture, combining local edge-level processing with centralized coordination. Edge data processors handle real-time local decisions while a central system maintains overall system state, creating a multi-layered approach that achieves both speed and coordination.
2Measurement precision
If more sampling devices are deployed to improve detection accuracy, then measurement precision increases, but device complexity increases
Solution Approach 1:
The patent extracts the complex calculation functions from centralized locations and places them at the edge where sampling devices are located. Edge data processors perform local center of inertia calculations, reducing the need for complex centralized processing and enabling distributed intelligence without proportionally increasing overall system complexity.
Solution Approach 2:
Each edge data processor autonomously calculates the center of inertia for its local region using data from tertiary sampling devices. This self-service capability allows multiple sampling devices to operate independently with intelligent local processing, improving measurement precision without requiring proportional increases in centralized control complexity.
Data Source
AI summary
Disclosed are methods and apparatus to improve the stability of power distribution systems. The methods and apparatus include using edge processing to decrease the detection and reaction times associated with disturbances within the power distribution system. The edge processor can compare sampled phasor data with center of inertia data associated with the power distribution system.