Comparison and Performance Analysis of FACTs Controller in System Stability

Ramasamy, K.

doi:10.4236/cs.2016.710253

Cited by 1 publication

(1 citation statement)

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“…The advent of flexible alternating current transmission system (FACTS) technologies has coincided with a major restructuring of power generation; they can provide significant benefits by increasing the transmission capacity of the system as well as the flexibility and speed of power flow control. There are several types of FACTS, and the choice of the appropriate device depends on the goal to be achieved [1]- [3]. The unified power flow controller is one of the most effective FACTS equipment systems for improving power system safety; however, the performance of the UPFC is highly dependent on the parameter settings of the equipment in the system.…”

Section: Introductionmentioning

confidence: 99%

Universal phase shifter regulator system modeling with robust GPC using neural networks for compensation power in transmission line

Abdelkrim

Madani

Merzoug

et al. 2022

IJPEDS

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Electricity consumption is increasing gradually and this trend will continue in the future. In addition, rapid network control systems using the resources offered by power electronics and control microelectronics have been recently studied and developed, and are currently in normal application for some, for others, in pilot applications or as prototypes. This paper attempts to show that these systems are referred to by the general acronym flexible alternative current transmission systems (FACTS) similarly dethroned the traditional systems while offering better solutions and solving the energy quality problem such as the hybrid system (unified power flow controller (UPFC), or universal phase shifter regulator (UPSR)) which opens up new perspectives for more efficient operation of networks by continuous and rapid action on the various parameters of the network (voltage, phase shift, and impedance); thus, the power transits will be better controlled and the voltages better held, which will make it possible to increase the stability margins or tend towards the thermal limits of the lines. In this work, we used a classic control (PI-decoupled) and others while offering more flexibility of control thanks to the development of strategies identification/control based on generalized predictive control (GPC) with neural network to ensure robust control with advanced algorithms.

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Section: Introductionmentioning

confidence: 99%