Security constrained optimal power flow considering detailed generator model by a new robust differential evolution algorithm

Abstract

This paper presents a new multiobjective model, including two objective functions of generation 
cost and voltage stability margin, for optimal power flow (OPF) problem. Moreover, the proposed 
OPF formulation contains a detailed generator model including active/reactive power generation limits, 
valve loading effects, multiple fuel options and prohibited operating zones of units. Furthermore, 
security constraints, including bus voltage limits and branch flow limits in both steady state and 
post-contingency state of credible contingencies, are also taken into account in the proposed formulation. 
To solve this OPF problem a novel robust differential evolution algorithm (RDEA) owning a new 
recombination operator is presented. The proposed RDEA has a minimum number of adjustable 
parameters. Besides, a new constraint handling method is also presented, which enhances the 
efficiency of the RDEA to search the solution space. To show the efficiency and advantages of 
the proposed solution method, it is applied to several test systems having complex solution 
spaces and compared with several of the most recently published approaches. (C) 2010 Elsevier 
B.V. All rights reserved.