ODFF: Optimized Dual Fuzzy Flow Controller Based Voltage Sag Compensation for SMES-Based DVR in Power Quality Applications

Manikandan, M.; Basha, A. M.

doi:10.4236/cs.2016.710254

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…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. To minimize the hazards associated with wired systems, IoT-based wireless technologies are frequently used [29][30][31][32]. Therefore, renewable energy sources use a smart grid based on IoT for effective power monitoring.…”

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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“…Fuzzy logic-based compensation is also adopted to improve the power quality; however, the validation requires extensive testing with a hardware setup [61]. Artificial neural networks (ANN) are also deployed to reduce power quality issues but demand processors with parallel processing power [62]. Thus, a CSA based DVR was implemented in the present study to rectify all the specified issues.…”

Section: Introductionmentioning

confidence: 99%

Three Phase Four Switch Inverter Based DVR for Power Quality Improvement With Optimized CSA Approach

Reddy

Ganapathy

Manikandan³

2022

IEEE Access

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Industries driven by electric power require controlled and improved power quality for the optimal exploitation of resources. However, certain crucial issues greatly influence power quality, causing monetary losses to both the utility and customers. Numerous custom power devices are available to compensate for power quality issues; however, these devices alter the parameters of the transmission and distribution systems. Hence, a dynamic voltage restorer (DVR) is adopted in this study, which mitigates voltage disorders by establishing the desired quality and voltage level demanded by any sensitive load. The DVR adopts a 3ϕ four-switch voltage-source inverter (VSI) that acts as a cost-effective solution with a reduced number of switches. The cuckoo search algorithm (CSA) was utilized in this study as it solves multiple optimization issues with ease of implementation. Because it is robust to variations in the system, it significantly aids in enhancing the efficiency of the DVR by compensating for the variations in voltage and minimizing the total harmonic distortion (THD). The entire work was verified in MATLAB/Simulink to demonstrate the effectiveness of the introduced technique in smoothing the distorted voltage. The proposed approach achieved an efficiency of 92.6%witha simulation THD of 2.8% and hardware THD of 2.95%.INDEX TERMS DVR, CSA, Power quality, voltage swell, injection transformer, voltage sag.

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“…To solve this problem, a highly qualified power supply with an excellent LC filter unit is utilized [24]. However, the PI controller doesn't respond to the abrupt change in error signal, which is considered to be a serious drawback [25][26][27]. Therefore, a PI tuned Fuzzy Logic Controller (FLC) is utilized in this work.…”

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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ODFF: Optimized Dual Fuzzy Flow Controller Based Voltage Sag Compensation for SMES-Based DVR in Power Quality Applications

Cited by 10 publications

References 13 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

Three Phase Four Switch Inverter Based DVR for Power Quality Improvement With Optimized CSA Approach

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

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