Open Science Research Excellence
%0 Journal Article
%A P. Acharjee and  S. K. Goswami
%D 2010 
%J  International Journal of Electrical and Computer Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 43, 2010
%T Multiple Power Flow Solutions Using Particle Swarm Optimization with Embedded Local Search Technique
%U http://waset.org/publications/546
%V 43
%X Particle Swarm Optimization (PSO) with elite PSO
parameters has been developed for power flow analysis under
practical constrained situations. Multiple solutions of the power flow
problem are useful in voltage stability assessment of power system.
A method of determination of multiple power flow solutions is
presented using a hybrid of Particle Swarm Optimization (PSO) and
local search technique. The unique and innovative learning factors of
the PSO algorithm are formulated depending upon the node power
mismatch values to be highly adaptive with the power flow problems.
The local search is applied on the pbest solution obtained by the PSO
algorithm in each iteration. The proposed algorithm performs reliably
and provides multiple solutions when applied on standard and illconditioned
systems. The test results show that the performances of
the proposed algorithm under critical conditions are better than the
conventional methods.
%P 921 - 928