Open Access Open Access  Restricted Access Subscription or Fee Access

Improvement of Power Quality & Voltage Profile Through the Optimal Placement of Artificial Intelligence based UPFC Controller

Vikas Kumar, Sanjeev Jarariya

Abstract


Amidst the array of FACTS controllers, the Unified Power Flow Controller (UPFC) stands out as a distinguished member, renowned for its array of beneficial features. Recognized as among the most advanced FACTS devices, the UPFC excels in facilitating simultaneous control overactive and reactive power flow as well as voltage magnitude. FACTS devices are instrumental in managing power flow, enhancing transmission capacity, and optimizing power system stability. Increasing the capacity of the existing transmission infrastructure is a more viable option for future power system development than building new, affordable, environmentally friendly transmission lines and power plants. This necessitates the development of new power controllers that can effectively boost transmission capacity and regulate power flow within set parameters. These innovative controllers also need to be able to control voltage levels and the flow of reactive and actual power across transmission lines to maximize system potential while maintaining security margins and stability. The UPFC, specifically, emerges as a highly adaptable Flexible AC Transmission System (FACTS) device capable of regulating both active and reactive power flows within transmission lines through the injection of variable voltage in series and reactive current in shunt. The choice of controller profoundly impacts power flow regulation, prompting the examination UPFC's capabilities through the utilization of fuzzy logic controllers (FLC) in this study. Fuzzy logic controller is designed based on Mamdani’s Fuzzy Inference Method. This paper analyses the effect of controllers on performance of UPFC on the transmission lines that are subject to power quality disturbances such as waveform distortion and harmonics.


Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Journal of Instrumentation Technology and Innovations