Optimized Fuzzy Controller for MPPT of Grid-connected PV Systems in Rapidly Changing Atmospheric Conditions

Dehghani, Majid; Taghipour, Mohammad; Gharehpetian, Gevork B.; Abedi, Mehrdad

doi:10.35833/mpce.2019.000086

Cited by 77 publications

(61 citation statements)

References 36 publications

(45 reference statements)

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“…The fractional order controller (PID (λδ)) is the same as the traditional PID controller, but the only difference is the fractional derivative order (δ) and integral order (λ). The FoPID controller transfer function [19] illustration is given by,…”

Section: Fopid Controllermentioning

confidence: 99%

“…Swati Singh et al (2020) represented that review of optimization and modeling methodologies, as well as the interface mechanism of various renewable energy sources with various control designs such as the Fuzzy Controller, Fractional Order FPID (Fuzzy PID) Controller, and FOPID (Fractional Order PID) Controller. Majid Dehghani et al (2021) presented that to achieve the full PowerPoint; a fuzzy logic controller (FLC) was optimized by a combination of particle swarm optimization (PSO) and genetic algorithm (GA).…”

Section: Introductionmentioning

confidence: 99%

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Application of Fuzzy FoPID Controller for Energy Reshaping in Grid Connected PV Inverters for Electric Vehicles

Manjusha¹,

Sivarani²,

Jerusalin³

2022

Intelligent Automation &Amp; Soft Computing

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By utilizing Fuzzy based FOPID-controller, this work is designed via the energy reshaping concept for Grid connected Photovoltaic (PV) systems for electric vehicles and this PV module has its own inverter which is synchorised with the utility grid. In grid connected PV system, the mitigation plays an important role where the capacity of PV arrays increases it maintains power quality and it is necessary to comply with some requirements such as harmonic mitigation. Unless a maximum power point tracking (MPPT) algorithm is used, PV systems do not continuously produce their theoretical optimal power. Under various atmospheric conditions, MPPT is obtained by using Perturb and Observe (P&O) techniques. A storage function in terms of DC-link voltage and current, and q-axis current is created, by means of which physical characteristics are studied. Further the energy reshaping is done with the aid of the proposed Fuzzy Fractional Order PID (Fuzzy-FoPID) framework. The FOPID control parameters λ and μ are optimally tuned by Grey Wolf Optimization technique (GWO). The results obtained verify the advantages of using Fuzzy-FoPID control as compared to conventional PID (Proportional Integral Derivative) control and FoPID control. The injected reactive power into the grid and the efficiency of the proposed systems is studied by extensive simulations.

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Section: Fopid Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy FoPID Controller for Energy Reshaping in Grid Connected PV Inverters for Electric Vehicles

Manjusha¹,

Sivarani²,

Jerusalin³

2022

Intelligent Automation &Amp; Soft Computing

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show abstract

“…Moreover, it is difficult to select a proper perturbation step considering the trade-off between convergence time and oscillation [8] . Under some rapidly changing atmospheric conditions, it is well known that the P&O algorithm can face difficulty during such time intervals [10] . Regarding these problems with P&O, the incremental conductance (INC) algorithm was introduced in Ref.…”

mentioning

confidence: 99%

“…If the derivative is equal to zero, the power point is at the MPP; otherwise, it is at the left side of the MPP when the derivative is positive and at the right side when the derivative is negative. Hence, the INC algorithm is superior to P&O when determining the best direction of perturbation and identifying whether the MPP has been reached [10][11][12] . However, similar to P&O, there is a tradeoff between convergence time and oscillation when choosing the increment (step) size.…”

mentioning

confidence: 99%

Single-phase grid-connected PV system with golden section search-based MPPT algorithm

Shao

Cao

et al. 2021

Chin. J. Electr. Eng.

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Maximum power point tracking (MPPT) is a technique employed for with variable-power sources, such as solar, wind, and ocean, to maximize energy extraction under all conditions. The commonly used perturb and observe (P&O) and incremental conductance (INC) methods have advantages such as ease of implementation, but they also have the challenge of selecting the most optimized perturbation step or increment size while considering the trade-off between convergence time and oscillation. To address these issues, an MPPT solution for grid-connected photovoltaic (PV) systems is proposed that combines the golden section search (GSS), P&O, and INC methods to simultaneously achieve faster convergence and smaller oscillation, converging to the MPP by repeatedly narrowing the width of the interval at the rate of the golden ratio. The proposed MPPT technique was applied to a PV system consisting of a PV array, boost chopper, and inverter. Simulation and experimental results verify the feasibility and effectiveness of the proposed MPPT technique, by which the system is able to locate the MPP in 36 ms and regain a drifting MPP in approximately 30 ms under transient performance. The overall MPPT efficiency is 98.99%.

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“…A fuzzy logic MPPT optimized by a combination of PSO and GA is presented in [35]. The range of changes in fuzzy membership functions and fuzzy rules are proposed as an optimization problem solved by using PSO-GA.…”

mentioning

confidence: 99%

A Review of Control Techniques in Photovoltaic Systems

et al. 2020

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Complex control structures are required for the operation of photovoltaic electrical energy systems. In this paper, a general review of the controllers used for photovoltaic systems is presented. This review is based on the most recent papers presented in the literature. The control architectures considered are complex hybrid systems that combine classical and modern techniques, such as artificial intelligence and statistical models. The main contribution of this paper is the synthesis of a generalized control structure and the identification of the latest trends. The main findings are summarized in the development of increasingly robust controllers for operation with improved efficiency, power quality, stability, safety, and economics.

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Optimized Fuzzy Controller for MPPT of Grid-connected PV Systems in Rapidly Changing Atmospheric Conditions

Cited by 77 publications

References 36 publications

Application of Fuzzy FoPID Controller for Energy Reshaping in Grid Connected PV Inverters for Electric Vehicles

Application of Fuzzy FoPID Controller for Energy Reshaping in Grid Connected PV Inverters for Electric Vehicles

Single-phase grid-connected PV system with golden section search-based MPPT algorithm

A Review of Control Techniques in Photovoltaic Systems

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