Adaptive Control of DC Microgrid Using PI Controller and Fuzzy Inference

Barbosa, Reginey Azevedo; Souza, Durval de Almeida; Tahim, Andre Pires da Nobrega

doi:10.1109/isgt-la.2019.8895419

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…In DC microgrids, PI controllers have been used to address time delay effects such as DC bus voltage variations [21][22][23][24]. This method involves re-designing the PI controller parameters towards achieving a robust controller system that can maintain system stability even in various system degradation scenarios.…”

Section: Modification Of the Pi Controller For Better System Robustnessmentioning

confidence: 99%

Analysis of LoRa Transmission Delay on Dynamic Performance of Standalone DC Microgrids

Ndukwe¹,

Iqbal²,

Khan³

et al. 2022

JEPT

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One important aspect toward proper and stable functioning of a communication-based controlled microgrid is data transmission. Consequently, an analysis of the effect of data transmission delay is of significance for any chosen communication protocol. This paper focuses on the effect of employing LoRa for data transfer at the secondary control level of a standalone DC microgrid. It analyses the effect of LoRa transmission delay on the dynamic performance of DC microgrids. This paper simulates a community DC microgrid that operates in three modes: PV mode, battery mode and generator mode. This microgrid operates as a centralized communication-based controlled microgrid, with the secondary control level operating as an event-driven level. The system incorporates a hierarchical system where data is transferred between the various distributed energy resources (DERs) local controllers and the microgrid central controller (MGCC). Simulations for three scenarios are presented. In the first scenario, the microgrid is designed and simulated without a communication delay to observe the system behavior. Then LoRa transmission delay is calculated for the various signals transferred between the MGCC and the local controllers. This delay is introduced into the simulation as transport delays and the system exhibits a level of stability degradation. Subsequently, a time delay compensation system is incorporated into the system for more robust operation. The delay compensation is applied in two simulation scenarios. In the first scenario, the system inductor (L) and capacitor (C) components are re-calculated, and the system is re-simulated to get a stable system even with the applied communication delay. In the second scenario, the proportional integrator (PI) controller in the microgrid central controller is re-designed to a more robust form to compensate for the delay caused by the LoRa transmission. The results obtained from the two modified simulations realize a stable DC microgrid. This system modification allows for system stability again, similar to the simulation when the microgrid operated without any communication delay. This, therefore, demonstrates that with proper system design and implementation, low bandwidth communication systems such as LoRa can be effectively employed for data transfer in event-driven communication-based controlled DC microgrids.

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Section: Modification Of the Pi Controller For Better System Robustnessmentioning

confidence: 99%

Analysis of LoRa Transmission Delay on Dynamic Performance of Standalone DC Microgrids

Ndukwe¹,

Iqbal²,

Khan³

et al. 2022

JEPT

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“…A new optimized proportional integral derivative controller for SEPIC MPPT based converter is proposed. In terms of device response as well as input exploitation, the proposed Gradient Descent (GD) technique provides better performance than traditional GD [19,20].…”

Section: Introductionmentioning

confidence: 99%

Improved Interleaved Single-Ended Primary Inductor-Converter for Single-Phase Grid-Connected System

Thangam¹,

Vel²

2023

Intelligent Automation &Amp; Soft Computing

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The generation of electricity based on renewable energy sources, particularly Photovoltaic (PV) system has been greatly increased and it is simply instigated for both domestic and commercial uses. The power generated from the PV system is erratic and hence there is a need for an efficient converter to perform the extraction of maximum power. An improved interleaved Single-ended Primary Inductor-Converter (SEPIC) converter is employed in proposed work to extricate most of power from renewable source. This proposed converter minimizes ripples, reduces electromagnetic interference due to filter elements and the continuous input current improves the power output of PV panel. A Crow Search Algorithm (CSA) based Proportional Integral (PI) controller is utilized for controlling the converter switches effectively by optimizing the parameters of PI controller. The optimized PI controller reduces ripples present in Direct Current (DC) voltage, maintains constant voltage at proposed converter output and reduces overshoots with minimum settling and rise time. This voltage is given to single phase grid via 1È Voltage Source Inverter (VSI). The command pulses of 1È VSI are produced by simple PI controller. The response of the proposed converter is thus improved with less input current. After implementing CSA based PI the efficiency of proposed converter obtained is 96% and the Total Harmonic Distortion (THD) is found to be 2:4%. The dynamics and closed loop operation is designed and modeled using MATLAB Simulink tool and its behavior is performed.

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“…In [14][15][16], several strategies for overcoming the power control issue were described, including P&O, fuzzy inference, genetic algorithm-based Perturb and Observe (P&O) and Particle Swarm Optimization (PSO). While the optimization strategies described above are suitable for nonlinear systems, the sophisticated computation and high delay time requirements considerably increase the controller's effort.…”

Section: Introductionmentioning

confidence: 99%

Optimized CUK Converter Based 1Φ Grid Tied Photovoltaic System

Janarthanan¹,

Kathirvel²

2022

Intelligent Automation &Amp; Soft Computing

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Renewable energy-based power generation, particularly photovoltaic (PV)-connected grid systems, has gained popularity in recent years due to its widespread adoption for residential and commercial customers of all sizes, from kilowatt (KW) to megawatt (MW). The purpose of this work is to demonstrate how an efficient CUK-integrated boost converter with continuous current flow may be used to maximise the output of solar arrays. The constant voltage at the converter output is maintained with increased dynamic performance using a Proportional Integral (PI) controller based on a hybrid optimization technique GWO-PSO (Grey Wolf Optimization-Particle Swarm Optimization). This hybrid solution permits accurate and speedy monitoring of the PI controller, which reduces voltage ripples successfully. This system is connected to the 1 grid via a voltage source inverter (VSI). To ensure grid synchronisation, the inverter's command pulses are generated by a PI controller depending on the grid's actual power. The Total Harmonic Distribution (THD) of grid current is used to characterize the overall system. The THD is determined to be 1.8 percent with the suggested PI controller and 3.41 percent with the PI controller, and the tracking performance of the GWO-PSO algorithm is 99.8 percent.

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Adaptive Control of DC Microgrid Using PI Controller and Fuzzy Inference

Cited by 4 publications

References 7 publications

Analysis of LoRa Transmission Delay on Dynamic Performance of Standalone DC Microgrids

Analysis of LoRa Transmission Delay on Dynamic Performance of Standalone DC Microgrids

Improved Interleaved Single-Ended Primary Inductor-Converter for Single-Phase Grid-Connected System

Optimized CUK Converter Based 1Φ Grid Tied Photovoltaic System

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