Lines Loading Optimization in Transmission Expansion Planning Based on Binary PSO Algorithm

*, Hassan Monsef**, Amir Bagheri***
*-*** Ph.D Candidate, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.
** Associate Professor, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.
Periodicity:December - February'2012
DOI : https://doi.org/10.26634/jit.1.1.1707

Abstract

Transmission network expansion planning (TNEP) is an important component of power system planning. It determines the characteristic and performance of the future electric power network and influences the power system operation directly. In this paper, expansion planning has been implemented by merging lines loading parameter in the STNEP and including investment cost into the fitness function constraints using binary particle swarm optimization (BPSO) algorithm. The particle swarm optimization is a recently developed evolutionary algorithm (EA) based on the swarm behavior in the nature and has a strong ability to find the most optimistic results. The motivation for using the BPSO technique is to reduce design effort and find an optimum planning network. Expanded network will possess a maximum adequacy to provide load demand and also the transmission lines overloaded later. The proposed idea has been tested on the Garvers network. The results evaluation shows that the network will possess maximum efficiency economically.

Keywords

BPSO, Loading Optimization, STNEP, PSO.

How to Cite this Article?

Mahdavi, M., Monsef, H., and Bagheri, A. (2012). Lines Loading Optimization In Transmission Expansion Planning Based On Binary PSO Algorithm. i-manager’s Journal on Information Technology, 1(1), 24-32. https://doi.org/10.26634/jit.1.1.1707

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