Open AccessUnlocking the benefits of real‐time thermal ratings through probabilistic power network planning
Author(s) -
Greenwood David Michael,
Taylor Philip Charles
Publication year - 2014
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0043
Subject(s) - probabilistic logic , power network , computer science , reliability engineering , thermal power station , power (physics) , electric power system , operations research , real time computing , artificial intelligence , engineering , electrical engineering , physics , quantum mechanics
Real‐time thermal ratings (RTTRs) is an emerging technique used to calculate the rating of electrical conductors based on local, real‐time weather conditions; this leads to an increased rating with respect to conventional approaches the majority of the time, and can be used to increase the energy yield of distributed generators, support the network during outages and defer network reinforcement. Unfortunately it is not presently recognised in network planning, design and security of supply standards. This represents a barrier to utilising RTTRs in power networks, and must be addressed. This study presents a new, probabilistic method for accounting for the variable ratings during network planning. This is coupled with an analysis of the risk of being unable to supply customers in a network adopting variable ratings, compared with the risk in the same network using conventional ratings; hence the method proposed in this study allows additional load to be connected to the network at a quantified level of risk. Finally, this method could be applied to other emerging network technologies and techniques such as demand side management or energy storage.