Investigation and strategy of intelligent controller (ACBIC) for DC link control in SAPF system for industrial power systems

Balasubramaniam, P. M.; Sudhakar, S.; Krishnamoorthy, Sujatha; Sriram, Ven; Dhanaraj, S.; Subramaniyaswamy, V.

doi:10.1080/09720529.2019.1668145

Cited by 11 publications

(3 citation statements)

References 9 publications

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“…Globally update pheromone using Equation ( 16) The ACO method performs optimal tuning of the membership functions and normalized gain in SAPF. The ACO method is a choice for an effective DC link voltage to compensate for harmonic currents in the power supply [86]. The ACO algorithm is the best for the controller, and satisfactory performance is an effective solution for the growing energy demands now and in the future.…”

Section: Endmentioning

confidence: 99%

Harmonic Mitigation Using Meta-Heuristic Optimization for Shunt Adaptive Power Filters: A Review

Duc,

Hlavaty,

Bilik

et al. 2023

Energies

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Shunt Adaptive Power Filter (SAPF) is widely used in the performance of power quality improvement activities in the power supply industry for processing industries or civil power sources in the world today based on its simplicity, transparency, high reliability, efficiency, and reliability, and their powerful compensating current-providing nature. The PI controller integrated into the SAPF operation mechanism works with extra high efficiency in selecting the current to compensate for the lost current generated in the power supply due to harmonics generated by the parameter values. The system operates by the PWM method for bridge rectifier circuits that perform the function of selecting the appropriate compensating current, providing correct compensation for the amount of current loss in the power supply. Adjusting the parameter to reach the optimal value by different methods is a promising and popular research direction at present. The parameter serves the right purpose for the PI controller to generate enough PWM pulses to excite the bridge rectifiers to generate just the right amount of compensating current and enough current to be compensated on the power supply. The commonly used parameter adjustment methods include the Ziegler Nichols closed-loop vibration method, the P-Q theoretical method, and several other methods. This study conducts a comprehensive review of the literature on modern strategies for adjusting theparameters in the PI controller in the SAPF suite by using the meta-heuristic optimization method. This study performs classification according to the operation mode of meta-heuristic optimization methods to adjust the parameter to control the PI to select the correct PWM frequency to activate bridge rectifiers to select the most optimal compensation current to compensate for the loss of current on the power supply to meet the goal of improving power quality in accordance with IEEE 519-2022 standard, leading to the total harmonic distortion (THD) value is below 5%. The study presents in detail some meta-heuristic optimization algorithms, including applications, mathematical equations, and implementation of flow charts for SAPF and provides some open problems for future research. The main objective of this study is to provide an overview of applying meta-heuristic optimization algorithms to the parameter tuning of PI controllers.

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Section: Endmentioning

confidence: 99%

Harmonic Mitigation Using Meta-Heuristic Optimization for Shunt Adaptive Power Filters: A Review

Duc,

Hlavaty,

Bilik

et al. 2023

Energies

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“…PKI's team with TTP offers technically sound and lawful methods for secure authentication and authorization. PKI is a public key cryptography means of authentication [39]. It allows users to authenticate the other party without shared secret information based on a certificate.…”

Section: Related Workmentioning

confidence: 99%

Blockchain - Facilitated IoT Built Cleverer Home with Unrestricted Validation Arrangement

Satheesh¹

2020

IJATCSE

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The growing blockchain technology proves promising opportunities for enhancing the industrialized system and the Internet of Things (IoT) by given that idleness, storage space, and encryption for applications. Over the last few years, many new applications have started to emerge in industrial IoT, and blockchain technologies have attracted the attention of many researchers in academic and industrial. Decentralized security and privacy system based in Blockchain provide an enormous lift to the infrastructure of the IoT. In a smart home, Blockchain technology serves as the perfect gatekeeper for all communication packages. Authentication of identity is required before the terminal accesses the service to prevent access to unauthorized. The fact that trustworthy third parties are introduced destroys not only the independence and flexibility of the IoT system but also source problems such as a breakdown position and unilateral control dangers. A dynamic trust-right method was developed to advance the blockchain output and decrease the no. of authenticated communication in new blocks. A review and verification solutions based on the blockchain technology of the state of the art identity organizations. This article describes a decentralized model of identity verification that can guarantee autonomy and security initiative.

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“…FIGURE 9.Observation and perturbation of P&O MPPTThe flowchart of the P&O MPPT is shown in Figure10, and Figure11represents the P&O MPPT model implemented using the Xlinx Blockset in MATLAB[27].…”

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confidence: 99%

Solar-Powered LVDC Nano-Grid with Smart FPGA-based Residential Power Switching Algorithm

Shanmugam

Balasubramaniam²,

Shnain

et al. 2024

IEEE Access

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A Low Voltage Direct Current (LVDC) nano-grid opens new potentials for the electrification of isolated rural settlements, urban residential structures, and the existing grid infrastructure. This study introduces and examines the Power-Sharing Control (PSC) of a solar Photovoltaic (PV) system connected to a low-voltage DC nano-grid. Effective control and power management between the components of a planned LVDC nano-grid system are presented, as is the use of a PSC algorithm implemented on a Field Programmable Gate Array (FPGA). General simulation investigations are tested to analyse the system's performance using the recommended controller. The proposed LVDC nano-grid idea is developed, and its hardware is assessed. The results of the hardware under different settings are shown and discussed. The proposed nano-grid model is implemented in matrix laboratory (MATLAB)-Simulink and has an FPGAbased Maximum Power Point Tracking (MPPT) controller and a central PSC algorithm; simulation studies are performed, and results are achieved. 100 W nano-grid hardware is set up and tested. Quantitative costbenefit analyses of the LVDC nano-grid of the proposed controller are given.

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Investigation and strategy of intelligent controller (ACBIC) for DC link control in SAPF system for industrial power systems

Cited by 11 publications

References 9 publications

Harmonic Mitigation Using Meta-Heuristic Optimization for Shunt Adaptive Power Filters: A Review

Harmonic Mitigation Using Meta-Heuristic Optimization for Shunt Adaptive Power Filters: A Review

Blockchain - Facilitated IoT Built Cleverer Home with Unrestricted Validation Arrangement

Solar-Powered LVDC Nano-Grid with Smart FPGA-based Residential Power Switching Algorithm

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