Prototype hardware realization of the DSTATCOM for reactive power compensation

Murugesan, K.; Muthu, Ranganath; Vijayenthiran, S; Mervin, J

doi:10.1016/j.ijepes.2014.09.032

Cited by 13 publications

(8 citation statements)

References 16 publications

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“…The basic working methodology of this theory includes the transformation (3phase to 2-phase) and reverse transformation (2-phase to 3-phase) of voltage and current quantities for the estimation of reference current signal. The computations involved in the IRPT theory to estimate instantaneous active (p) and reactive (q) components of current signals have been presented in[95]. The basic building block of IRPT is depicted inFig 6.The 3-phase voltage (V sabc ) and load currents (i Labc ) are converted in to α-β-0 components using Clark transformation and zero sequence component of active power is suppressed.…”

mentioning

confidence: 99%

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Chawda

Shaik

Mahela³

et al. 2020

IEEE Access

111

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Rapid industrialization and its automation on the globe demands increased generation of electrical energy with more reliability and quality. Renewable energy (RE) sources are considered as a green form of energy and extensively used as an alternative source of energy for conventional energy sources to meet the increased demand for electrical power. However, these sources, when integrated to the utility grid, pose challenges in maintaining the power quality (PQ) and stability of the power system network. This is due to the unpredictable and variable nature of generation by these sources. The distributed flexible AC transmission system (DFACTS) devices such as distributed static compensator (DSTATCOM) and dynamic voltage restorer (DVR) play an active role in mitigating PQ issues associated with RE penetration. The performance of DFACTS devices is mostly dependent on the type of control algorithms employed for switching of these devices. This paper presents a comprehensive review of various conventional and adaptive algorithms used to control DFACTS devices for improvement of power quality in utility grids with RE penetration. This review intends to provide a summary of the design, experimental hardware, performance and feasibility aspects of these algorithms reported in the literature. More than 170 research publications are critically reviewed, classified, and listed for quick reference for the advantage of engineers and academician working in this area. INDEX TERMS Adaptive control algorithm, conventional control algorithm, DFACTS device, modern utility grid, power quality, renewable energy source. ABBREVIATIONS 3P4W Three phase four wire 3P3W Three phase three wire ABT Admittance based theory ACA Adaptive control algorithm ADALINE Adaptive linear element theory ALMS Adaptive least mean square ANF Adaptive notch filter ANFIS Adaptive neuro-fuzzy inference system ARLS Adaptive recursive least square CCA Conventional control algorithm DFACTS Distributed flexible AC transmission system DSP Digital signal processing DSSSC Distributed static synchronous series compensator DSSC Distributed static series compensator DSTATCOM Distributed static compensator DSVC Distributed static var compensator DTCSC Distributed thyristor controlled series

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mentioning

confidence: 99%

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Chawda

Shaik

Mahela³

et al. 2020

IEEE Access

111

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“…STATCOM model can be designed for multiple of six pulse configurations. With modulation index equal to one, DC link voltage for six pulses STATCOM is 40–42

V_{dc} goodbreak= \frac{1}{0.45} ((), \frac{V_{L}}{\sqrt{3}})

where

V_{L}

is the line voltage and equal to MG‐rated voltage. Reactive power from STATCOM depends primarily on the two parameters DC link voltage and firing angle.…”

Section: Modelling Details For Microgrid Componentsmentioning

confidence: 99%

“…STATCOM model can be designed for multiple of six pulse configurations. With modulation index equal to one, DC link voltage for six pulses STATCOM is [40][41][42] V dc ¼ 1 0:45…”

Section: Statcom Modelingmentioning

confidence: 99%

Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

Saxena¹,

Gao

Sharma

et al. 2022

Circuit Theory & Apps

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This paper presents the genetic algorithm (GA) and particle swarm optimization (PSO) based frequency regulation for a wind‐based microgrid (MG) using reactive power balance loop. MG, operating from squirrel cage induction generator (SCIG), is employed for exporting the electrical power from wind turbines, and it needs reactive power which may be imported from the grid. Additional reactive power is also required from the grid for the load, directly coupled with such a distributed generator (DG) plant. However, guidelines issued by electric authorities encourage MGs to arrange their own reactive power because such reactive power procurement is defined as a local area problem for power system studies. Despite the higher cost of compensation, static synchronous compensator (STATCOM) is a fast‐acting FACTs device for attending to these reactive power mismatches. Reactive power control can be achieved by controlling reactive current through the STATCOM. This can be achieved with modification in current controller scheme of STATCOM. STATCOM current controller is designed with reactive power load balance for the proposed microgrid in this paper. Further, gain values of the PI controller, required in the STATCOM model, are selected first with classical methods. In this classical method, iterative procedures which are based on integral square error (ISE), integral absolute error (IAE), and integral square of time error (ISTE) criteria are developed using MATLAB programs. System performances are further investigated with GA and PSO based control techniques and their acceptability over classical methods is diagnosed. Results in terms of converter frequency deviation show how the frequency remains under the operating boundaries as allowed by IEEE standards 1159:1995 and 1250:2011 for integrating renewable‐based microgrid with grid. Real and reactive power management and load current total harmonic distortions verify the STATCOM performance in MG. The results are further validated with the help of recent papers in which frequency regulation is investigated for almost similar power system models. The compendium for this work is as following: (i) modelling of wind generator‐based microgrid using MATLAB simulink library, (ii) designing of STATCOM current controller with PI controller, (iii) gain constants estimation using classical, GA and PSO algorithm through a developed m codes and their interfacing with proposed simulink model, (v) dynamic frequency responses for proposed grid connected microgrid during starting and load perturbations, (vi) verification of system performance with the help of obtained real and reactive power management between STATCOM and grid, and (vii) validation of results with available literature.

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“…2 is employed. The operation of this block system is based on the instantaneous powers theory which has the advantage of selecting the disturbance compensation with precision, rapidity and ease of implementation [23]. In fact, as it can be seen in Fig.…”

Section: Nl Loads Currents Identification Systemmentioning

confidence: 99%

A micro-grid ensuring multi-objective control strategy of a power electrical system for quality improvement

Rekik

Abdelkafi

Krichen

2015

Energy

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Prototype hardware realization of the DSTATCOM for reactive power compensation

Cited by 13 publications

References 16 publications

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Comprehensive Review of Distributed FACTS Control Algorithms for Power Quality Enhancement in Utility Grid With Renewable Energy Penetration

Frequency regulation for microgrid using genetic algorithm and particle swarm optimization tuned STATCOM

A micro-grid ensuring multi-objective control strategy of a power electrical system for quality improvement

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