Windage Yaw Flashover Risk Assessment Using Cloud Model Similarity

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Solution Overview

Problem

Current windage yaw flashover risk assessment methods for power transmission lines are not universally applicable, lack balance between subjective and objective weighting, and fail to adequately consider the fuzziness of assessment index boundaries, leading to unreasonable and incomplete risk assessments.

Innovation Solution

A risk assessment method and system that determines influence factors, sets risk assessment indexes, generates standard and risk clouds, and performs two-dimensional similarity calculations to objectively assess the risk level of windage yaw flashover, incorporating expert opinions and objective conditions through methods like SWARA and intuitionistic fuzzy entropy weights.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If Monte Carlo method or Poisson distribution model is used for risk assessment, then the method has good applicability to meteorological conditions with randomness, but the assessment is not universally applicable and fails to calculate tripping probability effectively

Engineering Contradiction:

Improveapplicability to meteorological conditionsVSAvoidtripping probability calculation accuracy

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent transforms the risk assessment from qualitative expert scoring to quantitative calculation by changing parameters including tripping probability (Pt), windage yaw angle (θ), and flashover voltage (U50%). It uses probabilistic models to calculate these parameters mathematically, enabling universal applicability while maintaining reliability through standardized parameter transformations.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent replaces subjective expert mechanical assessment with automated computational models. It substitutes manual risk evaluation with computer-based calculations using Monte Carlo simulation and probabilistic methods, eliminating human bias while improving calculation accuracy for tripping probability.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Loss of information

If expert opinions are weighted heavily in risk assessment, then subjective expertise is utilized, but the assessment becomes unbalanced and偏 subjective

Engineering Contradiction:

Improveexpert knowledge utilizationVSAvoidassessment objectivity

Core Design Contradiction:

Loss of informationVSMeasurement precision

Solution Approach 1:

The patent merges subjective expert opinions with objective quantitative data through a combined weighting system. It integrates Delphi method expert scoring (subjective) with measured parameters like wind speed, ice thickness, and transmission voltage (objective), balancing both aspects in the final risk assessment through weighted aggregation.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent implements feedback mechanisms where expert assessments are continuously refined based on actual tripping data and meteorological measurements. The system uses historical flashover data to validate and adjust expert weightings, creating a self-correcting system that improves objectivity while preserving expert knowledge.

Inventive Principle:

Principle #23Feedback

3Ease of operation

If clear boundaries are set for assessment indexes, then the assessment is simplified, but the fuzziness of different assessment index boundaries is not sufficiently considered

Engineering Contradiction:

Improveassessment simplicityVSAvoidindex boundary accuracy

Core Design Contradiction:

Ease of operationVSMeasurement precision

Solution Approach 1:

The patent applies different assessment criteria to different local conditions by using geographically-specific parameters. It considers local meteorological characteristics, transmission line configurations, and environmental factors to adjust assessment boundaries locally, maintaining simplicity through standardized frameworks while achieving precision through location-specific parameter customization.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent makes assessment boundaries dynamic rather than static by using probabilistic ranges and confidence intervals. Instead of fixed threshold values, it employs dynamic boundaries that adapt based on meteorological variability, historical data, and real-time conditions, allowing the system to maintain simplicity while accurately representing the fuzziness of natural phenomena.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20240257011A1Risk assessment method and system for windage yaw flashover, device, and readable storage medium

Publication Date: 2024.08.01 STATE GRID CORPORATION OF CHINA

AI summary

Provided is a risk assessment method for power transmission line windage yaw flashover. The method includes determining the influence factors of power transmission line windage yaw flashover and setting risk assessment indexes according to the influence factors (S101); generating the standard cloud of the risk assessment indexes according to the incident occurrence probabilities and the consequence levels of the risk assessment indexes (S103); scoring the influence factors according to the risk assessment indexes and generating the risk cloud of the risk assessment indexes according to scoring results (S105); and performing a two-dimensional similarity calculation on the risk cloud and the standard cloud to obtain two-dimensional similarity between the risk cloud and the standard cloud and determining the risk level of the power transmission line windage yaw flashover according to the two-dimensional similarity (S107).