An LQR/Pole Placement Controller Design for STATCOM

Ali, Noman; Amin, V.

doi:10.1109/chicc.2006.4346922

Cited by 6 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Pole placement controller design with two set of controller gain i.e. first gain, by the use of linear matrix inequalities (LMIs) to meet design specification and second gain, by the use of zero set to meet overall system voltage control [107], first gain with one modulation index for steady state and second gain with adaptive modulation index for transient [108], combine Linear-Quadratic Regulator (LQR) [109] etc. are discussed for improving the operation of STATCOM.…”

Section:  Hysteresis Band Controller Techniquementioning

confidence: 99%

STATCOM – A Preface to Power Quality in Power Systems Performance

Jadeja

Patel

Chauhan

2016

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

This paper investigates different types of Flexible AC transmission System (FACTS) controllers with focus on various operational and control aspects of static synchronous compensators (STATCOM) to different performance characteristics like power transfer capability, voltage regulation, reactive power management, stability limits, power factor improvement etc. In addition, various features related to STATCOM like converter topologies, reference compensating signal generation schemes, controllers, and generation of switching signals are reviewed.

show abstract

Section:  Hysteresis Band Controller Techniquementioning

confidence: 99%

STATCOM – A Preface to Power Quality in Power Systems Performance

Jadeja

Patel

Chauhan

2016

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…Therefore CSC based STATCOM is very useful in power systems rather than VSC based STATCOM in many cases. Presently the most used techniques for controller design are the proportional integration (PI), linear quadratic regulator (LQR) and pole placement controller [12,13]. But LQR and pole placement algorithms give quicker response in comparison to PI algorithm and LQR is the optimal theory of pole placement method and describes the optimal pole location based on two cost function [14].…”

Section: Introductionmentioning

confidence: 99%

Optimal LQR controller in CSC based STATCOM using GA and PSO

Gupta¹,

Tripathi²

2014

Archives of Electrical Engineering

View full text Add to dashboard Cite

Abstract:The static synchronous compensator (STATCOM) is the multipurpose FACTS device with the multiple input and multiple output system for the enhancement of its dynamic performance in power system. Based on artificial intelligence (AI) optimization technique, a novel controller is proposed for CSC based STATCOM. In this paper, the CSC based STATCOM is controlled by the LQR. But the best constant values for LQR controller's parameters are obtained laboriously through trial and error method, although time consuming. So the goal of this paper is to investigate the ability of AI techniques such as genetic algorithm (GA) and particle swarm optimization (PSO) methods to search the best values of LQR controller's parameters in a very short time with the desired criterion for the test system. Performances of the GA, PSO & ABC based LQR controllers are also compared. Applicability of the proposed scheme is demonstrated through simulation in MATLAB and the simulation results are shown an improvement in the input-output response of CSC-STATCOM.

show abstract

A pole placement controller for CSC based STATCOM with genetic algorithm

Gupta

Tripathi

2013

2013 3rd IEEE International Advance Computing Conference (IACC)

View full text Add to dashboard Cite

An LQR/Pole Placement Controller Design for STATCOM

Cited by 6 publications

References 8 publications

STATCOM – A Preface to Power Quality in Power Systems Performance

STATCOM – A Preface to Power Quality in Power Systems Performance

Optimal LQR controller in CSC based STATCOM using GA and PSO

A pole placement controller for CSC based STATCOM with genetic algorithm

Contact Info

Product

Resources

About