Variable Forgetting Factor Recursive Least Square Control Algorithm for DSTATCOM

Badoni, Manoj; Singh, Alka; Singh, Bhim

doi:10.1109/tpwrd.2015.2422139

Cited by 100 publications

(26 citation statements)

References 27 publications

(28 reference statements)

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“…In this regard, a large forgetting factor should be assigned to the parameters changing slowly to guarantee the stability of the algorithm, while a small forgetting factor is more appropriate for the tracking of fast varying parameter. In seeking to address this problem, the VFFRELS with multiple forgetting factors [41][42][43] for identification is applied in this paper. With the VFFRELS, the forgetting factors can be decoupled and tuned separately to improve the parameters stability and tracking accuracy of SOC estimation.…”

Section: Parameters Identificationmentioning

confidence: 99%

Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

Liu

Dang

2018

Mathematical Problems in Engineering

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The state of charge (SOC) estimation is one of the most important features in battery management system (BMS) for electric vehicles (EVs). In this article, a novel equivalent-circuit model (ECM) with an extra noise sequence is proposed to reduce the adverse effect of model error. Model parameters identification method with variable forgetting factor recursive extended least squares (VFFRELS), which combines a constructed incremental autoregressive and moving average (IARMA) model with differential measurement variables, is presented to obtain the ECM parameters. The independent open circuit voltage (OCV) estimator with error compensation factors is designed to reduce the OCV error of OCV fitting model. Based on the IARMA battery model analysis and the parameters identification, an SOC estimator by adaptive H-infinity filter (AHIF) is formulated. The adaptive strategy of the AHIF improves the numerical stability and robust performance by synchronous adjusting noise covariance and restricted factor. The results of experiment and simulation have verified that the proposed approach has superior advantage of parameters identification and SOC estimation to other estimation methods.

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Section: Parameters Identificationmentioning

confidence: 99%

Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

Liu

Dang

2018

Mathematical Problems in Engineering

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“…Digital filters can be divided into recursive and non-recursive ones [25], [26]. A non-recursive filter sums up a certain number of input values.…”

Section: Digital Filter Basicsmentioning

confidence: 99%

Selection of Digital Filter for Microprocessor Protection Relays

Solovev¹

2018

IJECE

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The article considers some issues related to replacement of electromechanical relays used for protection of power facilities with microprocessor relays. One of the urgent problems connected with implementation of microprocessor overcurrent protections is how to use current transducers other than usual current transformers and in particular Rogowski coils that become more and more widespread. In the article are compared twelve methods of synthesis of a digital filter basing on the analog prototype -second-order integrating filter. The bilinear filter and Boxer-Thaler filters are analyzed in respect to their use in microprocessor relays. Basing on the research results a technique for selection of parameters of digital integrating filters for microprocessor relays is proposed. Simulation results show that Boxer-Thaler and bilinear filters have better accuracy during transient current measurements than the analog filter. The study allows concluding that in many cases the digital second-order bilinear filter is the best choice for use in microprocessor relays.

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“…Shunt compensator provides suitable load compensation to prevent distorted currents entering the utility grid. Also, there is an increased interest in the development of advanced and fast digital control algorithms to achieve the desired power quality standards.…”

Section: Introductionmentioning

confidence: 99%

“…Advanced soft computing controllers based on artificial neural network, 7-9 fuzzy techniques, 10 adaline, 11 and adaptive neuro fuzzy inference system 12,13 are interesting but complex. Recently, a number of new controllers [14][15][16][17][18][19] based on repetitive computation and updating of weights such as anti Hebbian, 14 least means square-based technique, 15 adaptive notch-based control 16 and recursive techniques, 17,18 and other signal cancelation techniques 19 have gained immense popularity. The desired controller should have the following objectives--ability to perform precise reference tracking, simple computational demands, and low parametric sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Design, analysis, and implementation of proportional-resonant filters for shunt compensation

Chittora

Singh

2017

Int Trans Electr Energ Syst

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Summary Recent technological advances in power electronics has led to a substantial increase in nonlinear loads. This has led to deterioration in quality of power in distribution networks and sparked interest in power quality issues and its solutions. This paper discusses the issue of harmonics, which is a power quality problem: their estimation and subsequent control and mitigation using a shunt compensator. The control of shunt compensator using proportional‐resonant (PR) controllers has been designed and implemented. Literature review presents a wide range of control techniques and proportional‐integral (PI) controllers are the simplest and most commonly used in industries. Recently introduced PR controllers have been presented as an alternative to PI controllers. These controllers are believed to overcome the shortcomings of the conventional PI controller, which include the presence of steady‐state errors and the need for transformation in three‐phase systems using the synchronous dq frame. The added advantages of PR controllers include the possibility of implementation for simultaneous detection and extraction of harmonic components without requiring excessive computational efforts. This paper highlights the application of PR controller for harmonic estimation and their reduction in the utility grid using shunt compensator. Closed loop control using PR controllers as filters has been demonstrated using simulation as well as experimental results. Extensive results are presented for different loading conditions, and they demonstrate the application of PR controllers in grid‐interfaced converter for power quality improvement.

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Variable Forgetting Factor Recursive Least Square Control Algorithm for DSTATCOM

Cited by 100 publications

References 27 publications

Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

Online State of Charge Estimation for Lithium-Ion Battery by Combining Incremental Autoregressive and Moving Average Modeling with Adaptive H-Infinity Filter

Selection of Digital Filter for Microprocessor Protection Relays

Design, analysis, and implementation of proportional-resonant filters for shunt compensation

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