Sensitivity Coefficient Calculation Using Metering Data
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Solution Overview
Problem
Existing methods for determining sensitivity coefficients in electric power networks require knowledge of network parameters, which can be inaccurate or outdated, especially in distribution networks with frequent topology changes and aging infrastructure, making it challenging for smart grid applications.
Innovation Solution
A method that calculates current and voltage sensitivity coefficients without requiring network parameters by using time-stamped measurements of voltage, current, active, and reactive power from metering units at selected nodes, allowing for the prediction of changes in current and voltage across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network parameters are used to calculate sensitivity coefficients, then calculation can be performed, but the accuracy deteriorates due to outdated or imperfect network models
Solution Approach 1:
The system uses its own measurement data from the power network to automatically identify and update network parameters and calculate sensitivity coefficients, eliminating dependence on external or outdated network models. The metering units and processing unit work together to self-determine the sensitivity coefficients directly from operational data.
Solution Approach 2:
The patent replaces the traditional model-based calculation approach with a measurement-based approach. Instead of using predefined network parameters and theoretical models, the system directly measures voltage, current, active power, and reactive power to compute sensitivity coefficients, substituting physical measurements for theoretical calculations.
2Measurement precision
If multiple measurement streams are used to improve accuracy, then measurement precision improves, but data processing complexity increases
Solution Approach 1:
The patent combines multiple measurement streams (voltage, current, active power, reactive power) from multiple metering units into a unified data set. The processing unit integrates these measurements to simultaneously determine sensitivity coefficients for all network nodes, reducing overall system complexity through consolidation.
Solution Approach 2:
The processing unit performs multiple functions: it processes measurements from multiple metering units, identifies network parameters, calculates sensitivity coefficients, and handles various network conditions. This multi-functional approach simplifies the system by using a single processing unit for all data analysis tasks rather than separate dedicated processors for each function.
Data Source
AI summary
The present invention relates to the field of electric power networks, and it is more specifically concerned with a method for determining current sensitivity coefficients between several measuring nodes and selected branches in an electric power network without the knowledge of the network parameters. This method may be described as model-less or model-free since no data relating to network parameters needs to be used. In particular, the present invention should preferably be implemented in the form of a unified method for determining both current and voltage sensitivity coefficients. In this method, some or all of the power network nodes are measurement nodes equipped with metering units. The determined current sensitivity coefficients demonstrate the important behavior and characteristics of the power network which can be further used for the power network analysis, identification, operation, and control.