A Discrete Matlab–Simulink Flickermeter Model for Power Quality Studies

White, Leonard W.; Bhattacharya, Subhashish

doi:10.1109/tim.2009.2023121

Cited by 26 publications

(12 citation statements)

References 2 publications

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“…The flicker frequency range is 0.5-42 Hz [3] due to the dynamic and continuous voltage changes between 0.9 and 1.1 pu. The most sensitive frequency of the glimmering of luminous lamps that annoys human eyes is around 8.8 Hz [4].…”

Section: Introductionmentioning

confidence: 99%

A new approach for power quality improvement of DFIG based wind farms connected to weak utility grid

Mahvash

Taher

Rahimi

2017

Ain Shams Engineering Journal

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Most of power quality problems for grid connected doubly fed induction generators (DFIGs) with wind turbine include flicker, variations of voltage RMS profile, and injected harmonics due to switching in DFIG converters. Flicker phenomenon is the most important problem in wind power systems. This paper described an effective method for mitigating flicker emission and power quality improvement for a fairly weak grid connected to a wind farm with DFIGs. The method was applied in the rotor side converter (RSC) of the DFIG to control the output reactive power. q axis reference current was directly derived according to the mathematical relation between rotor q axis current and DFIG output reactive power without using PI controller. To extract the reference reactive power, the stator voltage control loop with the droop coefficient was proposed to regulate the grid voltage level in each operational condition. The DFIG output active power was separately controlled in d axis considering the stator voltage orientation control (SVOC). Different simulations were carried out on the test system and the flicker short term severity index ðP st Þ was calculated for each case study using the discrete flickermeter model according to IEC 61400 standard. The obtained results validated flicker mitigation and power quality enhancement for the grid. Ó 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Section: Introductionmentioning

confidence: 99%

A new approach for power quality improvement of DFIG based wind farms connected to weak utility grid

Mahvash

Taher

Rahimi

2017

Ain Shams Engineering Journal

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“…McGranaghan and Santoso in [10] presented a summary of the problems encountered during both offline and online analyses of PQ algorithms. In [11], a discrete model of the IEC 61000-4-15 flickermeter was presented. The full discrete flickermeter channel, developed as Simulink diagram, is shown, however the aim of this model is only simulation, and hence the implementation path is not considered.…”

Section: Modelling Input Test Signals and Defining Reference Responsementioning

confidence: 99%

“…The weighting filter requires special procedures. In [11], the transfer functions of the filters were obtained analytically by defining the filter in the s domain and next using a Bilinear Transform to obtain the transfer function in the z domain. This procedure does not match the rapid implementation approach.…”

Section: Flicker Implementationmentioning

confidence: 99%

Rapid algorithm prototyping and implementation for power quality measurement

Kołek

Piątek

2015

EURASIP J. Adv. Signal Process.

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This article presents a Model-Based Design (MBD) approach to rapidly implement power quality (PQ) metering algorithms. Power supply quality is a very important aspect of modern power systems and will become even more important in future smart grids. In this case, maintaining the PQ parameters at the desired level will require efficient implementation methods of the metering algorithms. Currently, the development of new, advanced PQ metering algorithms requires new hardware with adequate computational capability and time intensive, cost-ineffective manual implementations. An alternative, considered here, is an MBD approach. The MBD approach focuses on the modelling and validation of the model by simulation, which is well-supported by a Computer-Aided Engineering (CAE) packages. This paper presents two algorithms utilized in modern PQ meters: a phase-locked loop based on an Enhanced Phase Locked Loop (EPLL), and the flicker measurement according to the IEC 61000-4-15 standard. The algorithms were chosen because of their complexity and non-trivial development. They were first modelled in the MATLAB/Simulink package, then tested and validated in a simulation environment. The models, in the form of Simulink diagrams, were next used to automatically generate C code. The code was compiled and executed in real-time on the Zynq Xilinx platform that combines a reconfigurable Field Programmable Gate Array (FPGA) with a dual-core processor. The MBD development of PQ algorithms, automatic code generation, and compilation form a rapid algorithm prototyping and implementation path for PQ measurements. The main advantage of this approach is the ability to focus on the design, validation, and testing stages while skipping over implementation issues. The code generation process renders production-ready code that can be easily used on the target hardware. This is especially important when standards for PQ measurement are in constant development, and the PQ issues in emerging smart grids will require tools for rapid development and implementation of such algorithms.

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“…The IEC flickermeter is essentially a signal processing tool, which has the voltage as input signal and the instantaneous flicker sensation as output signal. The functionality of each of the five blocks of the IEC flickermeter is described as follows [6], [24] [5], [25]. The recommended practice for measurement and limits of voltage fluctuations can be found in [26].…”

Section: Deficiencies Of the Iec Flickermetermentioning

confidence: 99%

A Proposal for Flicker Evaluation

Junior¹,

Macedo²,

Delaiba³

2014

Eletrônica de Potência

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-The measured flicker levels by using the IEC standard 61000-4-15 often far exceed the established compatibility levels, even without the existence of consumer complaints. The poor measurement/complaint correlation due to the use of IEC flickermeter can be explained by two significant hypotheses. Firstly, modern lightning may be significantly less sensitive to voltage fluctuations than standard incandescent lamps upon which the entire IEC flickermeter concept is based. As a result, the luminous flux density (illuminance) variation from modern lamp bulbs is not well represented by the IEC flickermeter. Furthermore, the IEC standard 61000-4-15 is not able to detect flicker caused by high interharmonics components. In this connection, the flicker severity index measured by the IEC flickermeter to evaluate the flicker effect in modern lamp bulbs is controversial. Thus, would be the flicker planning levels and flicker requirements adequate to this scenario? This work presents a method to evaluate the flicker effect by taking into account the direct response of the illuminance variation. The test results have indicated a better correlation between measured flicker level and user complaint for all lamps tested in this study.

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A Discrete Matlab–Simulink Flickermeter Model for Power Quality Studies

Cited by 26 publications

References 2 publications

A new approach for power quality improvement of DFIG based wind farms connected to weak utility grid

A new approach for power quality improvement of DFIG based wind farms connected to weak utility grid

Rapid algorithm prototyping and implementation for power quality measurement

A Proposal for Flicker Evaluation

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