Research Article | Open Access
POWER QUALITY IMPROVEMENT IN HYBRID POWER SYSTEM USINGARTIFICIAL INTELLIGENCE
Koyyada Shreya Kanumula Rishi Kumar Dharavath Sharath Kumar Armula Tushar
Pages: 2334-2339
Abstract
Distribution power system has poor power quality and dynamic performance due to insufficient
reactive power support during disturbances. Distribution Static Compensator (DSTATCOM) can improve the
power quality and dynamic performance of distribution power system. Proportional and Integral (PI) controllers
are often used to control the operation of the DSTATCOM for the distribution power system. However, since
the power system is highly nonlinear and subject to various disturbances, the PI controlled DSTATCOM cannot
provide optimal performance for different operating points. More robust controllers such as the one based on
fuzzy logic approach are required for the DSTATCOM to provide adequate dynamic voltage control and to
improve power quality and stability of the distribution power system. This paper presents the design of a fuzzy
logic based controller of a 3MVA DSTATCOM for improving the power quality and stability of a distribution
power system. Grey Wolf Optimization (GWO) algorithm has been used to tune the scaling factors of the fuzzy
logic controllers. Comparison study of PI controlled and fuzzy logic controlled DSTATCOM for improving the
power quality and dynamic performance of a distribution power system is simulated using SimPowerSystem in
MATLAB/Simulink environment. The performances of the DSTATCOM controllers are evaluated during grid
side voltage sag and load variation. The simulation results in MATLAB/SimPowerSystems show that the fuzzy
logic controlled DSTATCOM controller provides better system dynamic response and hence improves power
quality and stability for the distribution power system