An Efficient Line Ratings Program With Probabilistic Considerations for Real Time Operations

Many utilities desire to widen their system operation margin through increasing transmission line loading while ensuring that the lines are not overloaded. It is impractical to monitor loading (via temperature) over the length of all transmission lines so many methods have been developed to estimate...

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Bibliographic Details
Published in:IEEE transactions on power apparatus and systems 1985-10, Vol.PAS-104 (10), p.2935-2941
Main Authors: Reed, Brian J., Sherman, James M., Hemmaplardh, K.
Format: Article
Language:English
Subjects:
Applied sciences
Design engineering
Electrical engineering. Electrical power engineering
Electrical power engineering
Equations
Exact sciences and technology
Overhead networks
Power engineering and energy
Power engineering computing
Power networks and lines
Power system transients
Power transmission lines
Steady-state
Temperature distribution
Temperature measurement
Temperature sensors
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Summary:Many utilities desire to widen their system operation margin through increasing transmission line loading while ensuring that the lines are not overloaded. It is impractical to monitor loading (via temperature) over the length of all transmission lines so many methods have been developed to estimate line temperatures. Estimate inaccuracies result from not knowing the weather conditions along all segments of the line; and from inaccuracies in empirical estimating equations. The statistical approach to safe line loading presented here associates confidence levels with maximum line temperatures for fixed, current and conversly associates confidence levels with currents for a safe line temperature. Steady state and transient operating conditions are considered. The methodology presented is useful and computationally efficient for automated power systems operations, as well as useful to design engineers.
ISSN:0018-9510
2995-6323
DOI:10.1109/TPAS.1985.319141