DocumentCode
151761
Title
Security constrained transmission expansion planning for smart transmission grids based on the AC network model
Author
Torres, Santiago P. ; de Araujo, Ricardo A. ; Castro, Carlos A. ; Pissolato, Jose
Author_Institution
Energy Syst. Dept. - DSE, Univ. of Campinas, Campinas, Brazil
fYear
2014
fDate
10-13 Sept. 2014
Firstpage
1
Lastpage
6
Abstract
The Transmission Expansion Planning (TEP) problem is not a new issue, however, most research works presented so far use DC modeling, which can lead to very unrealistic transmission expansion plans. In order to deal with this problem, the use of the AC network model has been proposed recently by very few research works. Solving the TEP using the AC model is an extremely difficult task to deal with. Achieving this task is becoming more important due to the complexity of smart grids. In this work, it is proposed an approach to solve the TEP problem using the AC model and taking into account the (N-1) security assessment criterion. This new approach is based on a new full AC formulation, which takes into account contingencies. The optimization tool used to solve the problem is Differential Evolution (DE) and some tests are performed using the Garver 6-bus test system.
Keywords
evolutionary computation; power system security; power transmission planning; smart power grids; AC network model; DC modeling; Garver 6-bus test system; TEP problem; differential evolution; optimization tool; security assessment criterion; security constrained transmission expansion planning; smart grids; transmission expansion planning problem; Load flow; Mathematical model; Reactive power; Sociology; Statistics; Topology; Vectors; AC Model; Differential Evolution; Electric Power Systems; Meta-heuristic; Optimization; Renewable Energy Sources; Security; Smart Grids; Transmission Expansion Planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Transmission & Distribution Conference and Exposition - Latin America (PES T&D-LA), 2014 IEEE PES
Conference_Location
Medellin
Print_ISBN
978-1-4799-6250-1
Type
conf
DOI
10.1109/TDC-LA.2014.6955263
Filename
6955263
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