Dynamic Current Capacity Calculation Using Wind Propagation Models
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Solution Overview
Problem
Current methods for dynamically determining maximum electric current carrying capacities in high-voltage transmission networks are suboptimal due to reliance on static weather parameters and the difficulty in measuring wind speed, leading to inefficient calculations and potential overheating risks.
Innovation Solution
A system that uses wind measurement stations to estimate wind speed at singular points within the network, applying a model of wind propagation to optimize calculations of maximum capacities based on thermal equilibrium relationships and conduction parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wind speed measurement stations are deployed at every singular point of the network, then measurement precision of wind speed at each point is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent introduces wind propagation models as intermediary computational tools that translate wind speed measurements from limited measurement stations into estimates for singular points where direct measurements are not available. This mediator approach allows the system to achieve comprehensive wind speed knowledge across the network without deploying sensors at every location, thus resolving the contradiction between measurement precision and device complexity
Solution Approach 2:
The patent creates computational copies of wind speed data by using propagation models to simulate and estimate wind conditions at singular points based on measurements from other locations. These computational copies allow the system to treat estimated wind speeds as if they were direct measurements, achieving high measurement precision across all points without the physical complexity of deploying sensors everywhere
2Reliability
If static unfavorable weather parameters are used for maximum capacity calculation, then reliability of temperature limit compliance is improved, but productivity of transmission network is reduced due to suboptimal capacity utilization
Solution Approach 1:
The patent transforms the static calculation approach into a dynamic one by continuously updating maximum capacity calculations with real-time weather parameter measurements and wind propagation estimates. This allows the system to adapt capacity values to actual conditions, maintaining reliability through continuous monitoring while improving productivity by avoiding overly conservative static limits
Solution Approach 2:
The patent implements feedback loops where actual weather measurements and calculated temperatures are continuously fed back into the maximum capacity calculation system. This feedback mechanism allows the system to verify temperature limit compliance in real-time and adjust capacity recommendations accordingly, ensuring reliability while optimizing transmission productivity based on actual rather than assumed conditions
3Measurement precision
If multiple sensors are deployed to measure wind speed locally, then measurement precision is improved, but ease of operation and maintenance is worsened
Solution Approach 1:
The patent merges the functions of multiple distributed wind speed measurement stations into a unified computational system that uses propagation models to distribute wind speed information across the network. Instead of operating multiple independent measurement systems, the invention combines them into a coordinated system where one or few measurement stations serve multiple singular points through computational propagation, greatly simplifying operation and maintenance
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for direct estimation of wind speed at critical points, optimizing maximum capacity calculations while reducing the number of sensors needed, leading to more accurate and cost-effective determination of electric current carrying capacities.
Implementation Method 1
a predetermined thermal equilibrium relationship, an operating limit temperature of each current-carrying line
Implementation Method 2
Its impact is substantial on the cooling via convection of high voltage lines and therefore on the increase in their actual maximum capacities for carrying electricity
Data Source
AI summary
This system (40) for dynamically determining maximum electric current carrying capacities comprises: means (44) for storing a model (54) of a network portion (10), a thermal equilibrium relationship (56), operating limit temperatures and conduction parameters; and a receiver (46) for wind speed values measured by wind measurement stations (24, 26, 28, 30).It further comprises a computer (48) programmed (62, 64, 66, 68) to: apply a model (60) of wind propagation from at least one selected station towards singular points of the model (54) of the network portion, in order to estimate a wind speed value at each singular point; and calculate at least one maximum capacity value at each singular point on the basis of the thermal equilibrium relationship (56), of each operating limit temperature, of each conduction parameter and of weather parameters (58), taking into account said wind speed value estimated at each singular point in the thermal equilibrium relationship (56).