DocumentCode :
3077169
Title :
A combinatorial approach for transmission expansion & reactive power planning
Author :
Rahmani, M. ; Rashidinejad, M. ; Carreno, E.M. ; Romero, R.A.
Author_Institution :
Univ. Estadual Paulista, Ilha Solteira, Brazil
fYear :
2010
fDate :
8-10 Nov. 2010
Firstpage :
529
Lastpage :
536
Abstract :
A metaheuristic technique for solving the short-term transmission network expansion and reactive power planning problems, at the same time, in regulated power systems using the AC model is presented. The problem is solved using a real genetic algorithm (RGA). For each topology proposed by RGA an indicator is employed to identify the weak buses for new reactive power sources allocation. The fitness function is calculated using the cost of each configuration as well as constraints deviation of an AC optimal power flow (OPF) in which the minimum reactive generation of new reactive sources and the active power losses are objectives. With allocation of reactive power sources at load buses, the circuit capacity increases and the cost of installation could be decreased. The method is tested in a well known test system, presenting good results when compared with other approaches.
Keywords :
genetic algorithms; load flow; power transmission planning; reactive power; AC optimal power flow; active power losses; circuit capacity; metaheuristic technique; minimum reactive generation; reactive power planning; reactive power sources allocation; real genetic algorithm; short-term transmission network expansion; transmission expansion planning; Generators; Genetic algorithms; Load flow; Mathematical model; Planning; Power transmission lines; Reactive power; L indicator; reactive power planning; reactive sources; real genetic algorithm; transmission expansion planning; weak buses;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exposition: Latin America (T&D-LA), 2010 IEEE/PES
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4577-0488-8
Type :
conf
DOI :
10.1109/TDC-LA.2010.5762933
Filename :
5762933
Link To Document :
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