DocumentCode
12107
Title
Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability
Author
Greenwood, David Michael ; Taylor, Philip Charles
Author_Institution
Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
Volume
29
Issue
5
fYear
2014
fDate
Sept. 2014
Firstpage
2460
Lastpage
2468
Abstract
Real-Time Thermal Rating (RTTR) is a smart-grid technology that allows electrical conductors to operate at an enhanced rating based on local weather conditions. RTTR also provides thermal visibility of the network, making system operators aware if the actual rating drops below the static seasonal rating. This paper investigates how using these enhanced variable ratings affects power network reliability. A methodology has been developed to assess network reliability with variable conductor ratings. The effect of failures and uncertainties in the RTTR system are also considered, and the effect of the correlation between conductor ratings due to common weather conditions is built into the model. State sampling and sequential Monte Carlo simulations are used to estimate the reliability of the RBTS 6-bus test network. At low loading levels, the RTTR appears to reduce network reliability but actually illustrates occasions when the existing ratings are being unknowingly infringed. For higher loading, the network reliability is significantly improved by the use of RTTR, with reductions in loss of load expectation of up to 67%.
Keywords
Monte Carlo methods; conductors (electric); power transmission reliability; real-time systems; smart power grids; RBTS 6-bus test network; electrical conductor ratings; local weather conditions; power network reliability; real-time thermal ratings; sequential Monte Carlo simulation; smart-grid technology; state sampling simulation; static seasonal rating; thermal visibility; Conductors; Correlation; Data models; Load modeling; Power system reliability; Reliability; Uncertainty; Power system planning; power system reliability; smart grids; transmission lines;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2014.2305872
Filename
6750109
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