MPPT based on Fuzzy Logic Controller for Photovoltaic System using PSIM and Simulink

Yaqin, E N; Abdullah, Ahmed; Hakim, Dadang Lukman; Nandiyanto, A B D

doi:10.1088/1757-899x/288/1/012066

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…Sustainability 2019, 11, x FOR PEER REVIEW 3 of 25 designing rule bases. The conventional MPPT method used only the rule base, but no design process was presented [26][27][28].…”

Section: Proposed Mppt Methodsmentioning

confidence: 99%

“…It also has a limit in improving tracking speed and in tracking accuracy because it varies the voltage or current to a fixed size [22]. To solve this problem, methods using artificial intelligence control such as PI control [1,[23][24][25], fuzzy control [26][27][28], and neural network [29,30] were presented. PI control has a problem with fixed gain values, and neural networks suffer from poor response performance if sufficient learning is not achieved.…”

Section: Introductionmentioning

confidence: 99%

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Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

Kim

2020

Sustainability

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This paper presents an optimal design of a fuzzy control rule base for tracking the maximum power point of a photovoltaic (PV) system. Fuzzy control is used for the maximum power point tracking (MPPT) of PV systems because it has the advantage of processing nonlinear systems. The rule base of fuzzy control depends on the user or designer’s experience and determines the fuzzy control’s performance. In this paper, we divide the MPPT state of the PV system into four cases according to the operating conditions, and propose the rule base design of the fuzzy control according to each case. The proposed method in the paper tests the MPPT performance using artificial lighting and compares the results with the conventional control method (proportional and integral (PI) and perturbation & observation (P&O) method) to prove its effectiveness.

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“…Sustainability 2019, 11, x FOR PEER REVIEW 3 of 25 designing rule bases. The conventional MPPT method used only the rule base, but no design process was presented [26][27][28].…”

Section: Proposed Mppt Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

Kim

2020

Sustainability

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“…Thus, an adequate MPPT is required by the control unit to reach the maximum power generated from the output PV array [3]. Several MPPT algorithms are proposed in the literature; some well-known are Perturb and Observe (P&O), the Incremental Conductance (INC), Fractional open-circuit voltage (FVOC), Fractional short circuit current (FSC), artificial neural networks (ANN), Fuzzy logic (FL), etc [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

PV array connected to the grid with the implementation of MPPT algorithms (INC, P&O and FL Method)

Lagdani¹,

Trihi²,

Bossoufi

2019

IJPEDS

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The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m<sup>2</sup> and 1000 W/m<sup>2</sup>), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.

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“…The main mission of the MPPT is to adopt the operating point of a module or array usually modifying the output voltage to different irradiance conditions and also temperature variations. Therefore in theory and practice a great number of MPPT methods have been developed such as Hill Climbing [2], Perturb and observe (P&O) [3], Incremental Conductance (IC) [4], Fractional open-circuit voltage (FVOC) [5], fractional short circuit current (FSC) [6], Neural network [7], Fuzzy logic control [8], and Particle Swarm Optimization (PSO) [9]. Among the methods investigated, much focus has been on Hill Climbing and Perturb and Observe methods [10].…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking on the Alternative Current Side for Photovoltaic Applications

Çetin¹,

Deniz²,

Başaran³

2018

AKU-J. Sci. Eng.

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Bu çalışmada yenilikçi maksimum güç noktası takip (MPPT) yöntemi sunulmuştur. Alternatif Akım (AC) tarafında maksimum güç noktası takibi olarak adlandırılan bu yöntemde, eviricinin çıkış tarafında (AC) kontrol işlemi yapılmaktadır. AC tarafta kontrol işlemi için değiştir ve gözlemle (P/O) algoritması kullanılmıştır. P/O algoritması ile AC çıkış geriliminin genliği, nominal gerilimin ±% 20'si oranında değiştirilerek gerçekleştirilmektedir. Bu yolla, güneş panellerinin (PV) gerilimi maksimum güç noktası bulunana kadar arttırılmakta ya da azaltılmaktadır. AC tarafta kontrol yöntemi ile DC/DC dönüştürücü MPPT işlemi yapmayacağından dönüştürücünün tek işlevi evirici giriş geriliminin düzenlenmesi olacaktır. DC/DC dönüştürücünün çıkış gerilimi her zaman sabit 800 VDC değerine sahiptir. Bu sayede, MPPT kontrolü ve anahtarlamadan kaynaklanan gerilim dalgalanmaları oluşmamakta ve buda küçük boyutlu (büyük W/cm 3 oranı) yarı iletken ve pasif devre elemanlarının kullanımına yol açmaktadır. Sürücünün diğer güç elektroniği modülleri, büyük W/cm 3 oranına sahiptir. AC tarafta MPPT yöntemi, bu amacın gerçekleştirilmesine hizmet eden araçlardan biri olacaktır.

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MPPT based on Fuzzy Logic Controller for Photovoltaic System using PSIM and Simulink

Cited by 9 publications

References 10 publications

Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

Optimization Design and Test Bed of Fuzzy Control Rule Base for PV System MPPT in Micro Grid

PV array connected to the grid with the implementation of MPPT algorithms (INC, P&O and FL Method)

Maximum Power Point Tracking on the Alternative Current Side for Photovoltaic Applications

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