Active and Reactive Power Control Techniques Based on Feedback Linearization and Fuzzy Logic for Three‐Phase Grid‐Connected Photovoltaic Inverters

Thao, Nguyen Gia Minh; Uchida, Kenko

doi:10.1002/asjc.998

Cited by 23 publications

(11 citation statements)

References 17 publications

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“…The net current of the cell I (Figure ) is the difference of the photocurrent I L and the diode current I D . More details can be found in . It can be expressed as follows:

I = I_{L} - I_{D} = I_{L} - I_{0} ((), e^{q ((), V + I R_{S}) / italicnkT} - 1)

…”

Section: Direct Grid Connected Photovoltaic Systemmentioning

confidence: 99%

“…Currently, grid‐connected PV systems are the subject of many research works. The most important points of study are: the maximum power point tracking (MPPT) of solar arrays , the control of reactive energy injected in the network using suitable control techniques and the reduction of harmonic pollution of the network by means of appropriate power electronic converters . Commonly, grid connected PV sources use two cascaded power electronic converters: a DC‐DC converter allows the control of the maximum power point (MPP) of the PV source and a DC‐AC converter allows the control of the output voltage and the power factor as well as the reduction of the harmonic pollution of the output current .…”

Section: Introductionmentioning

confidence: 99%

“…In , a basic proportional‐integral (PI) controller is used to investigate the performance of a grid connected PV system by means of two cascaded DC‐DC and DC‐AC converters. The use of powerful control techniques allows removing the DC‐DC converter, which increases simplicity, enhances efficiency and reduces the system cost . In , an input–output feedback linearization technique is investigated to control both the power factor at the input of the grid and the MPPT of the PV source, using only a single DC‐AC inverter; this work is based on a linear control and classical incremental conductance MPPT algorithm (IC‐MPPT).…”

Section: Introductionmentioning

confidence: 99%

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A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source

Touil

Boudjerda

Boubakir

et al. 2019

Asian Journal of Control

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A robust sliding mode controller for a grid-connected photovoltaic source is proposed in this paper. The objective of the presented control scheme is to force both the output voltage of the photovoltaic PV source and the power factor at the inverter output to follow a certain trajectory reference. The main idea is to apply the robust sliding mode controller directly to the nonlinear state model of the system composed of the PV source and the inverter with its input and output filters. In order to operate the PV system at the maximum power point and to satisfy the environmental factors, such as solar irradiance and temperature, we included a rigorous maximum power point tracker based on an artificial neural network. Simulation results are presented to illustrate the performance of the proposed control scheme. In addition, we show that the grid current satisfies the harmonic limits of the IEEE standard for interconnecting distributed energy sources with electric power systems. KEYWORDS artificial neural network, grid connection, harmonic distortion, maximum power point tracker, photovoltaic source, sliding mode control 1 | INTRODUCTIONRenewable energy sources are candidates for future electric energy due to their independence from fossil and nuclear fuels and given their low impact on the environment. Nowadays, photovoltaic (PV) sources contribute more and more in the generation of electric energy around the world. Photovoltaic power generation converts the sun's irradiation directly into electrical energy. To avoid the problems common in autonomous systems, such as costly and bulky batteries that require regular maintenance, it is necessary to operate the PV system in gridconnected mode; this allows injecting energy excess and covering for demand where production is not sufficient [1].Currently, grid-connected PV systems are the subject of many research works. The most important points of study are: the maximum power point tracking (MPPT) of solar arrays [2][3][4][5], the control of reactive energy injected in the network using suitable control techniques [2,4,5] and the reduction of harmonic pollution of the network by means of appropriate power electronic converters [4,5]. Commonly, grid connected PV sources use two cascaded power electronic converters: a DC-DC converter allows the control of the maximum power point (MPP) of the PV source and a DC-AC converter allows the control of the output voltage and the power factor as well as the reduction of the harmonic pollution of the output current [1,2,6].In [7], a basic proportional-integral (PI) controller is used to investigate the performance of a grid connected PV system by means of two cascaded DC-DC and DC-AC converters. The use of powerful control techniques ---

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“…The net current of the cell I (Figure ) is the difference of the photocurrent I L and the diode current I D . More details can be found in . It can be expressed as follows:

I = I_{L} - I_{D} = I_{L} - I_{0} ((), e^{q ((), V + I R_{S}) / italicnkT} - 1)

…”

Section: Direct Grid Connected Photovoltaic Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source

Touil

Boudjerda

Boubakir

et al. 2019

Asian Journal of Control

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“…This section presents the design of PID controller for microgrid system using LMI based approach. The microgrid system presented in (5) and (6) is a second order system. The design of the controller is presented for second order system.…”

Section: Design Of Pid Controllermentioning

confidence: 99%

LMI‐Based Robust PID Controller Design for Voltage Control of Islanded Microgrid

Armin

Roy

Sarkar

et al. 2018

Asian Journal of Control

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This paper presents the design of a robust proportional integral derivative (PID) controller for the control of a single phase microgrid voltage. A microgrid consists of loads, distributed generation units and several power‐electronics interfaced LC filter and voltage source inverter. These loads are unknown and parameters are uncertain which produce unmodeled load dynamics. This unmodeled load dynamics reduces the voltage tracking performance of the microgrid. The proposed controller gives the robustness of the system with unmodeled load dynamics. Under different kinds of uncertainties, PID controller guarantees the stability and provides zero steady‐state error and fast transient response. The robustness and optimal performance of the controller is obtained by using linear matrix inequality approach. The performance of the controller under different uncertainties is studied. Results indicate the robustness and high voltage tracking performance of the microgrid system.

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“…The PI is maynot satisfactory in controlling various non linear control applications. Moreover the design of its control system is also very complex and hence newly designed fuzzy logic controller is devoid of these drawbacks [8]. For the proper inverter operation, high quality the gating pulses to be generated to the inverter switches with the help of SVPWM technique [9].…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

Venkatesan¹,

Rajeshwari²,

Deverajan³

et al. 2016

IJPEDS

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A comparative study of three phase grid connected photovoltaic (PV) inverter using Proportional-Integral (PI) controller and Fuzzy logic controller (FLC) is presented in this paper. Proposed three phase inverter with single DC source employing three phase transformer for grid connected PV system controlled by using space vector pulse width modulation (SVPWM) technique. PI and FLC are used as current controller for regulating the current. Perturb and observe maximum power point technique (MPPT) is used for tracking of maximum power from the PV panel. Finally total harmonic distortion (THD) comparison made between two controllers for validation of results. Furthermore swithing losses of inverter are also presented. The simulation results are obtained using MATLAB simulink. Keyword:Fuzzy INTRODUCTIONIn the modern scientific world ruled by science, the utilizing of electricity has increased rapidly due to growing of population of the world. Nowadays, most of the research works have focused on PV based power generation due to major reasons such as price of fossil fuel, green house effect and energy available in nature [1]. Actually, solar panel is directly converting solar irradiation in to electrical energy [2]. It is necessary to convert available DC voltage into AC voltage and the converted AC voltage should be sinusoidal with high quality output voltage. For this purpose, multilevel inverter (MLI) is the most suitable choice for converting DC into AC compared to the conventional two level inverters with minimum THD values. MLI's broadly categorised into three main types namely, diode clamped, flying capacitor and cascade [3]- [4]. Three phase MLI inverter using cascaded H-Bridge with independent DC source is presented in the literature review [5]. The above topology, each H bridge require separate DC sources with equal rating and separate DC sources make it system bulky and costlier [6]. Cascade H bridge inverter employing single phase and three phase transformers with single DC input is also presented [7]. This configuration use single DC input and require additional single and three phase transformers for higher voltage level. In accordance with the observation from the references [5]- [7], inverter topology requires more DC input, transformers and switches which result in increased complexity, system size and cost. For maintain grid current as pure sinusodial Proportional-Integral (PI) controller and FLC controllers are used as feedback controller. The PI is maynot satisfactory in controlling various non linear control applications. Moreover the design of its control system is

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Active and Reactive Power Control Techniques Based on Feedback Linearization and Fuzzy Logic for Three‐Phase Grid‐Connected Photovoltaic Inverters

Cited by 23 publications

References 17 publications

A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source

A sliding mode control and artificial neural network based MPPT for a direct grid‐connected photovoltaic source

LMI‐Based Robust PID Controller Design for Voltage Control of Islanded Microgrid

Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using PI and Fuzzy Logic Controller with Switching Losses Calculation

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