Fuzzy Logic based Adaptive Step Hill Climbing MPPT Algorithm for PV Energy Generation Systems

Bouakkaz, Mohammed Salah; Boukadoum, Ahcene; Boudebbouz, Omar; Attoui, Issam; Boutasseta, Nadir; Bouraiou, Ahmed

doi:10.1109/iccit-144147971.2020.9213737

Cited by 18 publications

(7 citation statements)

References 9 publications

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“…M.S. et al [148] introduced a novel MPPT algorithm for PV systems using an adaptive step-climbing method based on fuzzy logic. The algorithm adjusts the step size of the step-climbing algorithm through fuzzy logic to adapt to different operating conditions, aiming to improve the energy capture efficiency and performance of the PV system.…”

Section: Power Managementmentioning

confidence: 99%

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

Yao,

Da,

et al. 2024

WEVJ

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Electric vehicles (EVs) play a major role in the energy system because they are clean and environmentally friendly and can use excess electricity from renewable sources. In order to meet the growing charging demand for EVs and overcome its negative impact on the power grid, new EV charging stations integrating photovoltaic (PV) and energy storage systems (ESSs) have emerged. However, the output of solar PV systems and the charging demand of EVs are both characterized by uncertainty and dynamics. These may lead to large power fluctuations in the grid and frequent alternation of peak and valley loads, which are not conducive to the stability of the distribution network. The study of reasonable capacity configuration and control strategy issues is conducive to the efficient use of solar energy, fast charging of EVs, stability of the distribution network, and maximization of the economic benefits of the system. In this paper, the concept, advantages, capacity allocation methods and algorithms, and control strategies of the integrated EV charging station with PV and ESSs are reviewed. On the basis of the above research, the current problems and challenges are analyzed, and corresponding solutions and ideas are proposed.

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Section: Power Managementmentioning

confidence: 99%

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

Yao,

Da,

et al. 2024

WEVJ

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“…Pada penelitian ini beban R akan dirubah dari (2,4,6,8,10) ohm dimana Iradiasi dibuat tetap 1000 W/m 2 . Tujuan dilakukannnya pengujian ini adalah untuk melihat bagaimana kondisi tegangan sel surya ketika beban bervariasi.…”

Section: Hasil Simulasi Ketika R Berubahunclassified

“…Karena keluaran sel surya berubah tergantung iradiasi dan suhu, maka dibutuhkan metode untuk melacak titik daya maksimum sel surya yang berubah menggunakan Maximum Power Point Tracker (MPPT). Pada penelitian sebelumnya, algoritma MPPT yang digunakan antara lain Perturb&Observe (P&O) [2]- [6], hill climbing [3], [7], [8], dan Incremental Conductance Method (ICM) [9]- [12]. Pada penelitian ini, MPPT menggunakan algoritma ICM yang membandingkan antara nilai konduktansi sesungguhnya (I/V) terhadap konduktansi pertambahannya (I/V) [10], [13].…”

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Perbaikan Unjuk Kerja Boost Converter untuk Panel Surya Menggunakan Sliding Mode Controller

Nurwati

Wijono²,

Hikam³

et al. 2022

jeeccis

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Salah satu cara memanfaatkan sumber energi terbarukan adalah dengan menggunakan sel surya yang mengubah energi cahaya matahari menjadi energi listrik. Sebuah converter umumnya diperlukan untuk menyesuaikan tegangan keluaran sel surya dengan kebutuhan aplikasinya. Salah satu jenis konverter yang dapat digunakan yaitu konverter boost, yang dapat menghasilkan tingkat tegangan pada keluarannya lebih tinggi dari masukannya. Keluaran dari sel surya yang bervariasi tergantung pada perubahan iradiasi cahaya matahari menjadi masukan bagi konverter. Pada penelitian ini metode pengendalian sliding mode control (SMC) dimanfaatkan untuk mengurangi osilasi pada tegangan keluaran konverter boost. Penelitian dilakukan dengan cara simulasi menggunakan MATLAB/Simulink pada kondisi sistem pengendalian loop terbuka dan loop tertutup. Nilai settling time dan selisih tegangan keluaran saat sebelum terjadi gangguan dan setelah terjadi gangguan berupa tegangan masukan yang bervariasi dan beban yang bervariasi dianalisis.

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“…4) is widely implemented in commercial MPPT controllers. Hill climbing strategy is based on the introduction of a change in the duty cycle of the power converter [9]. Eq.…”

Section: Iii1 Hill Climbingmentioning

confidence: 99%

Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

Bouakkaz

Boukadoum

Boudebbouz

et al. 2021

AJRESD

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In this work, a survey is carried out on six MPPT algorithms which include conventional and artificial intelligence based approaches. Maximum Power Point Tracking (MPPT) algorithms are used in PV systems to extract the maximum power in varying climatic conditions. The following most popular MPPT techniques are being reviewed and studied: Hill Climbing (HC), Perturb and Observe (P&O), Incremental Conductance (INC), Open-Circuit Voltage (OCV), Short Circuit Current (SCC), and Fuzzy Logic Control (FLC). The algorithms are evaluated, analyzed, and interpreted using a Matlab-Simulink environment to show the performance and limitations of each algorithm

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Fuzzy Logic based Adaptive Step Hill Climbing MPPT Algorithm for PV Energy Generation Systems

Cited by 18 publications

References 9 publications

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

A Review of Capacity Allocation and Control Strategies for Electric Vehicle Charging Stations with Integrated Photovoltaic and Energy Storage Systems

Perbaikan Unjuk Kerja Boost Converter untuk Panel Surya Menggunakan Sliding Mode Controller

Survey of Six Maximum Power Point Tracking Algorithms under Standard Test conditions

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