Power Grid Parameter Mapping Using Correlated Measurements
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Solution Overview
Problem
Existing technologies face challenges in efficiently monitoring and estimating electric parameters across different locations in an electric power grid, particularly where measurement data is unavailable or outdated.
Innovation Solution
A method and system for monitoring electric parameters in an electric power grid by detecting physical stimuli, obtaining measurement data from one location, computing electric parameters, and mapping them to other locations using correlation between electrical characteristics, facilitated by machine learning and intentional or endogenous stimuli.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement data is collected at every location in the electric power grid, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent creates a virtual copy of the measurement system through correlation modeling. Instead of deploying physical measurement devices at every location, the system uses measurements from one location and correlates them with electrical characteristics (impedance, topology) to estimate parameters at other locations, effectively copying the measurement capability across the grid without physical duplication of devices
Solution Approach 2:
The patent introduces electrical characteristics (impedance data, network topology) as intermediary elements that enable the transfer of measurement information between locations. These intermediaries serve as the basis for correlation modeling, allowing parameter estimation at locations without direct measurements by using the intermediary electrical characteristics to bridge the gap between measured and unmeasured locations
2Reliability
If measurement devices are deployed at all locations, then reliability of parameter monitoring is improved, but loss of energy and cost increase
Solution Approach 1:
The patent merges the measurement function across multiple locations into a single measurement point. By using correlation based on electrical characteristics, the system combines the measurement data from one location with network parameter data to derive information about other locations, effectively merging multiple measurement requirements into a single measurement action that serves the entire grid
3Productivity
If real-time measurements are taken at multiple locations, then productivity of monitoring is improved, but loss of time for data collection increases
Solution Approach 1:
The patent performs preliminary action by pre-calculating and storing electrical characteristics (impedance data, network topology) that are needed for correlation. This preliminary preparation allows the system to quickly estimate parameters at unmeasured locations using existing measurement data and pre-computed correlation models, avoiding the time-consuming process of collecting real-time measurements from every location
Data Source
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AI summary
This document discloses a solution for a method of monitoring an electric power grid. According to an aspect, a method comprises: detecting one or more physical stimuli in the electric power grid; obtaining, while the one or more physical stimuli is effective, a first set of measurement data associated with a first location of the electric power grid; computing an electric parameter of the first location of the electric power grid on the basis of the first set of measurement data; mapping the electric parameter to corresponding electric parameter of a second location of the electric power grid on the basis of the first set of measurement data and correlation between electrical characteristics of the first location and the second location.