Power Distribution Network Evaluation Using Threshold Event Scoring
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Solution Overview
Problem
Power distribution systems face challenges due to aging infrastructure, reliance on intermittent power sources, and increased dependency on grid reliability, necessitating improved maintenance strategies to minimize downtime and ensure resilience.
Innovation Solution
A method for evaluating power distribution networks by frequently retrieving electric parameter values, detecting threshold crossings, calculating event time periods, and accumulating event scores to assess reliability, enabling proactive maintenance decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If power distribution systems are expanded and modernized to accommodate distributed power generation, then adaptability and green energy transition are improved, but system reliability and resilience deteriorate due to aging infrastructure and increased complexity
Solution Approach 1:
The system performs preliminary actions by continuously monitoring electric parameters and detecting threshold crossings before actual failures occur. Event scores are accumulated over time to predict potential reliability issues, enabling maintenance to be performed proactively rather than reactively, thus maintaining reliability while adapting to new power generation sources.
Solution Approach 2:
The invention implements feedback mechanisms by accumulating event scores from detected threshold crossings and using this information to indicate reliability status. This feedback loop allows the system to continuously assess and respond to changes in the power distribution network, maintaining reliability despite increasing adaptability requirements from distributed power generation.
2Reliability
If maintenance is performed more frequently to improve reliability, then system resilience is improved, but loss of time and productivity deteriorate due to increased maintenance interruptions
Solution Approach 1:
The system performs preliminary assessment by accumulating event scores over time to identify components that are likely to fail. This allows maintenance to be scheduled based on actual condition trends rather than fixed intervals, performing maintenance only when and where needed, thus improving reliability while minimizing unnecessary maintenance interruptions and time loss.
3Measurement precision
If monitoring frequency is increased to improve measurement precision of reliability indicators, then reliability assessment accuracy is improved, but use of energy and computational resources deteriorate
Solution Approach 1:
The system applies partial monitoring by focusing computational resources on detecting specific threshold crossings and accumulating event scores only when relevant events occur, rather than continuously processing all possible parameters at maximum frequency. This approach maintains measurement precision for reliability assessment while reducing overall energy consumption and computational burden by being selective about what is monitored and when.
Data Source
AI summary
The present invention relates to a method for evaluating power distribution networks, the method comprising frequently sampling an electric parameter value representing the electric parameter value of one phase of a feeder from a power distribution station, detecting the sampled electric parameter value passing a first threshold value in a first direction, detecting the sampled electric parameter value passing a second threshold value in a second direction, being substantially opposite to the first direction, determining an event time period as the time period between the two detections of the electric parameter value passing the first and the second threshold value, calculating a ratio between the determined event time period and a circuit action time period, determining an event score based on the calculated ratio between the determined event time period and the predetermined circuit action time period, accumulating event scores over a reliability check time period, and indicating the reliability of the phase based on accumulated event scores.