TY - JFULL AU - H. Shayeghi and M. Mahdavi and A. Kazemi PY - 2009/4/ TI - Discrete Particle Swarm Optimization Algorithm Used for TNEP Considering Network Adequacy Restriction T2 - International Journal of Electrical and Computer Engineering SP - 520 EP - 528 VL - 3 SN - 1307-6892 UR - https://publications.waset.org/pdf/5647 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 27, 2009 N2 - Transmission network expansion planning (TNEP) is a basic part of power system planning that determines where, when and how many new transmission lines should be added to the network. Up till now, various methods have been presented to solve the static transmission network expansion planning (STNEP) problem. But in all of these methods, transmission expansion planning considering network adequacy restriction has not been investigated. Thus, in this paper, STNEP problem is being studied considering network adequacy restriction using discrete particle swarm optimization (DPSO) algorithm. The goal of this paper is obtaining a configuration for network expansion with lowest expansion cost and a specific adequacy. The proposed idea has been tested on the Garvers network and compared with the decimal codification genetic algorithm (DCGA). The results show that the network will possess maximum efficiency economically. Also, it is shown that precision and convergence speed of the proposed DPSO based method for the solution of the STNEP problem is more than DCGA approach. ER -