Electricity Transmission Grid Structure Determination
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Solution Overview
Problem
Current methods for determining the structure of electricity transmission grids are inefficient, inaccurate, and unreliable, particularly due to inaccuracies in power measurement and lack of energy data, which hinders the ability to locate faults and optimize electrical losses.
Innovation Solution
A computer-based method that acquires power consumption and delivery data from sensors, generates classes of data, calculates selection criteria based on power losses and consumption differences, and uses optimization algorithms to determine connection parameters between consumers and feeders, ensuring a robust and accurate grid structure mapping.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to determine grid structure from power consumption and delivery data, then the process can be performed with basic measurement equipment, but the speed of execution is slow and reliability is low due to measurement inaccuracies and missing energy data
Solution Approach 1:
The patent segments the determination process into multiple iterative steps, each processing a subset of consumers and feeders. The global determination is divided into local determinations for different consumer-feeder pairs, allowing parallel processing and reducing overall execution time while maintaining reliability through repeated verification
Solution Approach 2:
The patent performs preliminary actions by pre-calculating power losses for each consumer-feeder pair before the main determination process. This preliminary computation of expected power losses enables faster comparison and matching during the actual structure determination, reducing the time required for the main algorithm to converge
2Measurement precision
If measurement equipment is used to acquire power data, then data can be collected from the grid, but inaccuracies in measuring power consumed and delivered lead to errors in structure determination
Solution Approach 1:
The patent implements feedback mechanisms by comparing measured power deliveries with calculated expected power losses for each consumer-feeder pair. This feedback loop allows the system to verify and correct structure determinations, compensating for measurement inaccuracies through iterative validation and reducing errors in the final grid structure mapping
Solution Approach 2:
The patent changes parameters by considering multiple possible power loss values and thresholds during the determination process. By varying these parameters iteratively and selecting the configuration that best fits the measured data, the system can compensate for measurement inaccuracies and determine the most probable grid structure despite imperfect measurements
3Reliability
If complete energy measurement data is available for all consumers and feeders, then accurate grid structure determination can be achieved, but the complexity of the measurement system and data processing increases
Solution Approach 1:
The patent segments both the measurement requirements and processing tasks into smaller units focused on individual consumer-feeder pairs. This segmentation allows the system to achieve accurate structure determination using localized measurements rather than requiring complete system-wide data, reducing the overall complexity of the measurement and processing infrastructure
Solution Approach 2:
The patent extracts and focuses on the essential elements needed for structure determination by considering only the power consumption data, power delivery data, and calculated power losses for each consumer-feeder pair. This extraction of critical information from the complete measurement dataset reduces processing complexity while maintaining determination accuracy
Data Source
AI summary
A method is provided for determining the structure of an electricity transmission grid, including a power supply station including one or more feeders for supplying electrical power to a plurality of electricity consumers, the method including acquiring first data relating to the electrical power consumed by each consumer during various time intervals; acquiring second data relating to the electrical power delivered by each feeder during the various time intervals; generating a plurality of different classes of data; calculating a first selection criteria for each class of data; selecting a first set of classes of data from the classes generated; and determining connection parameters.