Design and Implementation of Adaptive Neuro–Fuzzy Inference System Based Control Algorithm for Distribution Static Compensator

Badoni, Manoj; Singh, Alka; Singh, Bhim

doi:10.1080/15325008.2015.1045631

Cited by 15 publications

(11 citation statements)

References 21 publications

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“…Figure 11(a-c) depicts the most popularly use D-STATCOM, DVR and UPQC system configuration which consists of half-bridge inverters [85], [98], [100], [103] in single-phase twowire (1p2w) system to compensate the power quality (PQ) problems by injecting current in case of D-STATCOM, voltage in case of DVR and both in the case of UPQC of the electrical power distribution system. Figure 12 (a-c) and are widely reported in literature [56][57][58][59][60], [70], [104][105][106][107][108][109][110][111][112][113][114][115][116][117][118], [119][120][121][122][123][124][125][126][127][128][129][130], .…”

Section: Single-phase Two Wire (1p2w) Compensating Devicesmentioning

confidence: 93%

“…For elimination of high neutral currents the 4-leg topology used in 3P4W systems [27], [210][211][212][213][214][215][216][217][218].Having a higher number of switching devices this topology outweighed the split capacitor topology by number for factors [27], [209] control, linear quadratic regulator (LQR), pole-shift control, deadbeat control, and Kalman filter are used. Recently, for improving the dynamic and steady state performance of the devices, the complex algorithms like fuzzy logic [46], [82], [108], [115], [125], [161], [163], neural networks and genetic are implemented with the help of microprocessor and microcontroller…”

Section: Three-phase Four-wire Split Capacitor (2c) Topologymentioning

confidence: 99%

“…Neural network (NN) technique can handle efficiently the multi-input multi-out control system. Thus, the artificial neural network technique can be utilized to develop the controller for the D-STATCOM, DVR and UPQC to compensate different voltage and current related power quality problems [53] [68] [108], [115], [138], [150], [220].…”

Section: Neural Network (Nn) Based Theorymentioning

confidence: 99%

See 2 more Smart Citations

Mitigation of Power Quality Problems Using Custom Power Devices: A Review

Prasad

Akella

2017

IJEEI

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Electrical power quality (EPQ) in distribution systems is a critical issue for commercial, industrial and residential applications. The new concept of advanced power electronic based Custom Power Devices (CPDs) mainly distributed static synchronous compensator (D-STATCOM), dynamic voltage restorer (DVR) and unified power quality conditioner (UPQC) have been developed due to lacking the performance of traditional compensating devices to minimize power quality disturbances. This paper presents a comprehensive review on D-STATCOM, DVR and UPQC to solve the electrical power quality problems of the distribution networks. This is intended to present a broad overview of the various possible DSTATCOM, DVR and UPQC configurations for single-phase (two wire) and three-phase (three-wire and four-wire) networks and control strategies for the compensation of various power quality disturbances. Apart from this, comprehensive explanation, comparison, and discussion on D-STATCOM, DVR, and UPQC are presented. This paper is aimed to explore a broad prospective on the status of D-STATCOMs, DVRs, and UPQCs to researchers, engineers and the community dealing with the power quality enhancement. A classified list of some latest research publications on the topic is also appended for a quick reference.

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Section: Single-phase Two Wire (1p2w) Compensating Devicesmentioning

confidence: 93%

Section: Three-phase Four-wire Split Capacitor (2c) Topologymentioning

confidence: 99%

Section: Neural Network (Nn) Based Theorymentioning

confidence: 99%

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Mitigation of Power Quality Problems Using Custom Power Devices: A Review

Prasad

Akella

2017

IJEEI

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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%

“…[2][3][4] Two review papers 5,6 present different configurations and controllers for shunt compensator. 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.…”

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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Nonlinear adaptive normalized least mean absolute third algorithm for the control of five‐level distribution static compensator

Bansal

Singh

2021

Circuit Theory & Apps

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Summary This paper presents the design and control of single‐phase five‐level cascaded H‐bridge multilevel inverter (CHB‐MLI) as a shunt active power filter (SAPF) unit to mitigate the various power quality (PQ) problems such as reactive power burden, injection of harmonics in the supply, poor power factor, and so on. The control of CHB‐MLI has been done using the normalized least mean absolute third (NLMAT) algorithm, which overcomes the shortcoming of conventional least mean square (LMS), normalized LMS (NLMS), and least mean absolute third (LMAT) algorithm. The control algorithm is designed in MATLAB Simulink, and its scaled down prototype model is developed in the laboratory to find the fundamental active component of load current and to mitigate the aforementioned PQ problems. The proposed system is tested for single‐phase grid‐connection, and it works satisfactorily under steady state and dynamic load conditions. A dSpace1104 microcontroller is used to test the proposed algorithm and to generate firing pulses. Besides, the detailed comparison in the context of mean square error (MSE), weights convergence and intermediate error with conventional LMS, NLMS, and LMAT algorithm have also been discussed. Moreover, the harmonic distortion observed in the source current is within stipulated IEEE‐519 limits.

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Design and Implementation of Adaptive Neuro–Fuzzy Inference System Based Control Algorithm for Distribution Static Compensator

Cited by 15 publications

References 21 publications

Mitigation of Power Quality Problems Using Custom Power Devices: A Review

Mitigation of Power Quality Problems Using Custom Power Devices: A Review

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

Nonlinear adaptive normalized least mean absolute third algorithm for the control of five‐level distribution static compensator

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