Title :
Harmony search algorithm for transmission network expansion planning
Author :
Verma, A. ; Panigrahi, B.K. ; Bijwe, P.R.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, India
fDate :
6/1/2010 12:00:00 AM
Abstract :
Transmission network expansion planning (TNEP) is a very important problem in power systems. It is a mixed integer, non-linear, non-convex optimisation problem, which is very complex and computationally demanding. Various meta-heuristic optimisation techniques have been tried out for this problem. However, scope for even better algorithms still remains. In view of this, a new technique known as harmony search is presented here for TNEP with security constraints. This technique has been reported to be robust and computationally efficient compared to other meta-heuristic algorithms. Results for three sample test systems are obtained and compared with those obtained with genetic algorithm and bacteria-foraging differential evolution algorithm to verify the potential of the proposed algorithm.
Keywords :
genetic algorithms; power transmission planning; differential evolution algorithm; genetic algorithm; harmony search algorithm; mixed integer; nonconvex optimisation problem; nonlinear optimisation problem; transmission network expansion planning;
Journal_Title :
Generation, Transmission & Distribution, IET
DOI :
10.1049/iet-gtd.2009.0611