Title: Optimal generation expansion planning considering maximum loadability limit

Authors: Mohsen Mohammadian; Saeid Khodaparast Kazerunian

Addresses: Power Department, Electrical Faculty, Shahid Bahonar University, 22 Bahman High Way, Kerman, Iran ' Power Department, Electrical Faculty, Shahid Bahonar University, 22 Bahman High Way, Kerman, Iran

Abstract: This paper describes a new approach to generation expansion planning (GEP) problem to optimise simultaneously multiple objectives such as cost and stability margin. It is formulated as a combinational optimisation problem in order to determine the type and capacity of the new generations as well as their timing and placement. This study presents a comprehensive model of hierarchical optimisation problem to solve the GEP problem. The proposed method has investigated cost index and security margin of voltage stability of power systems by using loadability index. In this new approach, the GEP is done via expansion coordination pattern, and a trade-off between cost and stability has taken place. To solve the modelled optimisation problem, the imperialist competitive algorithm is used and tested on two test (standard) power systems consisting of 30 and 57 buses for a 15-year planning horizon. The results have been compared with hybrid algorithm genetic-particle swarm.

Keywords: generation expansion planning; GEP; static voltage stability; multi-objective optimisation; imperialist competitive algorithm; ICA; optimisation; maximum loadability limit; cost; stability margin; power systems; genetic algorithms; particle swarm optimisation; PSO.

DOI: 10.1504/IJPEC.2014.059986

International Journal of Power and Energy Conversion, 2014 Vol.5 No.1, pp.24 - 46

Received: 25 Oct 2011
Accepted: 08 Dec 2012
Published online: 13 May 2014 *

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