A novel intrinsic space vector transformation based solar fed dynamic voltage restorer for power quality improvement in distribution system

Babu, Viswaprakash; Ahmed, K. Shafeeque; Shuaib, Y. Mohamed; Manikandan, M.

doi:10.1007/s12652-020-02831-0

Cited by 17 publications

(10 citation statements)

References 35 publications

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“…The devices are intelligently connected to allow for new types of communication between things and people and between things to exchange data for monitoring and controlling the devices from anywhere in the world using the internet connection. With IoT applications, communication between machines or other devices is feasible without human interaction [25][26][27][28]. The IoT principle's goal is to use wired or wireless nodes to connect the sensors and gadgets of a particular system to a common network.…”

Section: Introductionmentioning

confidence: 99%

An ANN Based MPPT for Power Monitoring in Smart Grid using Interleaved Boost Converter

2023

Teh. vjesn.

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The energy sector is highly concerned about the rapid growth in power utilization which causes an imbalance between supply and demand. A demand-side energy management technique has to be developed to prevent substantial supply-side shortages and improve energy efficiency. The current trend in energy management is to lower the price of electricity without limiting use, instead preferring to minimize power usage during peak hours. To address the issue mentioned earlier and balance the overall system, a flexible and portable system that can serve a wide range of customers is necessary. Hence, a grid-connected hybrid system's improved power monitoring technique is proposed to generate and maintain constant DC voltage. An Artificial Neural Network (ANN) based Maximum Power Point Tracking (MPPT) technique is introduced in the smart grid using an interleaved boost converter to achieve power quality improvement with the aid of the Internet of Things (IoT). The PV voltage is improved with an interleaved boost converter, and optimum reliability is obtained with the aid of the ANN approach. The proposed technique can offer a robust and economical solution for tracking the maximum power, which guarantees regulated output and promotes the extraction of all available power from solar panels. By using a 3ϕ Voltage Source Inverter (VSI), the hybrid system's output is fed to the grid, and the sensors placed in the IoT module measure the generated power. From the results, it is demonstrated that the PV-based IoT approach aids in the compensation of grid stability, power quality issues, and harmonic reduction in the distribution network.

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Section: Introductionmentioning

confidence: 99%

An ANN Based MPPT for Power Monitoring in Smart Grid using Interleaved Boost Converter

2023

Teh. vjesn.

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“…The general structure of Wind Energy Conversion Systems (WECS) [27][28][29][30] comprises a wind turbine coupled with an electrical generator for obtaining electrical energy. Induction generators (IG) are the commonly used generators for WECS but in this work, a Double Fed IG (DFIG) based wind turbine is utilized [31,32]. While giving the generated energy from the hybrid system to the grid, disruptions are occurred due to load variations.…”

Section: Introductionmentioning

confidence: 99%

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Quawi¹,

Shuaib²,

Manikandan³

2023

Intelligent Automation &Amp; Soft Computing

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In this work, an Artificial Neural Network (ANN) based technique is suggested for classifying the faults which occur in hybrid power distribution systems. Power, which is generated by the solar and wind energy-based hybrid system, is given to the grid at the Point of Common Coupling (PCC). A boost converter along with perturb and observe (P&O) algorithm is utilized in this system to obtain a constant link voltage. In contrast, the link voltage of the wind energy conversion system (WECS) is retained with the assistance of a Proportional Integral (PI) controller. The grid synchronization is tainted with the assistance of the d-q theory. For the analysis of faults like islanding, line-ground, and line-line fault, the ANN is utilized. The voltage signal is observed at the PCC, and the Discrete Wavelet Transform (DWT) is employed to obtain different features. Based on the collected features, the ANN classifies the faults in an efficient manner. The simulation is done in MATLAB and the results are also validated through the hardware implementation. Detailed fault analysis is carried out and the results are compared with the existing techniques. Finally, the Total harmonic distortion (THD) is lessened by 4.3% by using the proposed methodology.

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“…The output generated by the DVR is controlled by the control signal generated by the proportional integral (PI) controller and the switching pulse generated by a Pulse-Width Modulated (PWM) generator. PI follows feedback control strategy and it produces the required control signal for the PWM generator using a weighted sum of error signal [20][21][22][23]. The non-linearity of semiconductor components present in the inverter leads to distortions in the output waveform.…”

Section: Introductionmentioning

confidence: 99%

Power quality improvement in distribution system based on dynamic voltage restorer using PI tuned fuzzy logic controller

Reddy

Ganapathy

Manikandan³

2022

Electrical Engineering & Electromechanics

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Purpose. This article proposes a new control strategy for Dynamic Voltage Restorer (DVR) in utility grid for distribution system. The proposed DVR using PI tuned fuzzy logic scheme is based on replacement of conventional DVR and voltage sag compensation in distribution system network. The novelty of the proposed work consists in presenting an enhanced PI tuned fuzzy logic algorithm to control efficiently the dynamic voltage restorer when voltage sag is suddenly occurred. Methods. The proposed algorithm which provides sophisticated and cost-effective solution for power quality problems. Our strategy is based on tuned fuzzy control of reactive powers and also closed loop for harmonic reduction in distribution system. The proposed control technique strategy is validated using MATLAB / Simulink software to analysis the working performances. Results. The results obtained clearly show that DVR using PI tuned fuzzy logic have good performances (sag compensation, harmonic reduction) compared to conventional DVR. Originality. Compensation of voltage sag/ swell in distribution for reactive power and current harmonic reduction by using DVR based PI tuned fuzzy logic controller. Practical value. The work concerns the comparative study and the application of DVR based on PI tuned fuzzy techniques to achieve a good performance control system of the distribution system. This article presents a comparative study between the conventional DVR control and PI tuned fuzzy DVR control. The strategy based on the use of a PI tuned fuzzy controller algorithm for the control of the continuous voltage sag and harmonic for the distribution network-linear as well as non-linear loads in efficient manner. The study is validated by the simulation results based on MATLAB / Simulink software.

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A novel intrinsic space vector transformation based solar fed dynamic voltage restorer for power quality improvement in distribution system

Cited by 17 publications

References 35 publications

An ANN Based MPPT for Power Monitoring in Smart Grid using Interleaved Boost Converter

An ANN Based MPPT for Power Monitoring in Smart Grid using Interleaved Boost Converter

Power Quality Improvement Using ANN Controller For Hybrid Power Distribution Systems

Power quality improvement in distribution system based on dynamic voltage restorer using PI tuned fuzzy logic controller

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