[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-11-2022-461

Title : REDUCING POWER OSCILLATIONS THROUGH PARTICLE SWARM OPTIMIZATION OF A UNIFIED POWER FLOW CONTROLLER
R. Jayachandra 1, Prof. G. Tulasi Ram Das2

Abstract :

: Unified Power Flow Controllers (UPFC) is one of the most versatile AC Transmission Systems (FACTS). It is used to control the transmitted power in power systems as it has many advantages in transmitting active and reactive power. Power is regulated by the UPFC on the transmit side of the plant system. This study evaluates the performance of UPFC for power oscillation compensation using particle swarm improvement (PSO) technique for DC link voltage management. A squared measure of the most effective PI control parameters required a particle swarm improvement technique. Once everyone establishes the squared measure of the significant power, i.e. the reactive power, the UPFC tries to maintain a proportional-integral controller (PI) and thus a command-adaptive neurofuzzy logical thinking controller (ANFIC). However, PI controllers and ANFICs cannot provide the required amount of energy in some power systems due to plant vibrations. These fluctuations are caused by ANFIC properties, i.e. PI controllers. During this work, the squared measurements of PI and ANFIC controllers were replaced with a particle swarm improvement approach. The objective function is used to reduce plant vibration. In our analysis, we used MATLAB/SIMULINK simulation code to demonstrate the usefulness of Algorithm Manager.