Application of Grade Algorithm Based Approach along with PV Analysis for Enhancement of Power System Performance ()
ABSTRACT
This paper presents an
application of GRADE Algorithm based approach along with PV analysis to solve
multi objective optimization problem of minimizing real power losses, improving
the voltage profile and hence enhancing the performance of power system. GRADE
Algorithm is a hybrid technique combining genetic and differential evolution
algorithms. Control variables considered are Generator
bus voltages, MVAR at capacitor banks, transformer tap settings and reactive
power generation at generator
buses. The optimal values of the control variables are obtained by solving the multi objective optimization problem
using GRADE Algorithm programmed using M coding in MATLAB platform. With the optimal
setting for the control variables, Newton Raphson based power flow is performed for two test
systems, viz, IEEE 30 bus system and IEEE 57 bus system for three loading
conditions. Minimization of Real power loss and improvement of voltage profile
obtained are compared with the results obtained using firefly and particle
swarm optimization (PSO) techniques. Improvement of Loadability margin is
established through PV curve plotted using continuation power flow with the
real power load at the most affected bus as the bifurcation parameter. The simulated output shows improved
results when compared to that of firefly and PSO techniques, in term of
convergence time, reduction of real power loss, improvement of voltage profile
and enhancement of loadability margin.
Share and Cite:
Kannan, G. , Subramaniam, D. and Manokar, S. (2016) Application of Grade Algorithm Based Approach along with PV Analysis for Enhancement of Power System Performance.
Circuits and Systems,
7, 3354-3370. doi:
10.4236/cs.2016.710286.