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Author | Year | Objectives | Technology | Applicable environment |
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Qiu et al. (this paper) | 2022 | MPPT | A PF-MPPT algorithm and an improved MPPT system | Fast-varying solar irradiation and local shading |
Dobakhshari [1] | 2018 | MPPT | A MPPT optimization algorithm | Fast-varying solar irradiation |
Li [2] | 2019 | MPPT | A variable-weather-parameter MPPT algorithm | Different irradiances |
Peng et al. [3] | 2018 | MPPT | An improved P&O algorithm | Fast-varying solar irradiation |
Yilmaz et al. [4] | 2019 | MPPT | A new MPPT method | Fast-varying solar irradiation |
Ko and Chao et al. [5] | 2012 | MPPT | An improved Quine–McCluskey (QM) algorithm | Fast-varying solar irradiation |
Mohanty et al. [6] | 2015 | MPPT | An improved gray wolf optimization algorithm | Fast-varying solar irradiation |
Kofinas et al. [7] | 2015 | MPPT | A direct numerical control (DNC) MPPT algorithm | Fast-varying solar irradiation |
Alik and Jusoh [8] | 2017 | MPPT | A control method based on the traditional P&O and check algorithms | Local shading |
Eltamaly [9] | 2015 | MPPT | An improved PSO algorithm based on the genetic algorithms | Local shading |
Hou et al. [10] | 2016 | MPPT | An MPPT control method based on the glowworm swarm optimization algorithm | Fast-varying solar irradiation |
Giraldo et al. [11] | 2017 | MPPT | An MPPT algorithm based on fuzzy control | Fast-varying solar irradiation |
Bingol and Ozkaya [12] | 2018 | Overcoming the negative effects of local shading | Five different PV array structure designs | Local shading |
Macaulay and Zhou et al. [13] | 2018 | MPPT | An improved P&O algorithm with a variable step size | Fast-varying solar irradiation |
Huang and Wang [14] | 2018 | Study on influencing factors of PV module aging | An algorithm to analyze the degradation factors of a PV module | Natural environment |
Li and Qi [15] | 2018 | MPPT | An improved gravity search algorithm | Local shading |
Nabipour et al. [16] | 2018 | MPPT | An MPPT algorithm based on a fuzzy adaptive algorithm | Fast-varying solar irradiation |
Teng et al. [17] | 2016 | MPPT | An MPPT algorithm based on parameter estimation | Fast-varying solar irradiation |
Wjya et al. [18] | 2021 | Overcoming the problem of unstable output voltage | A new method of solar micro grid based on long-term short-term memory and demand response | Natural environment |
Sher et al. [19] | 2015 | MPPT | An improved P&O method | Fast-varying solar irradiation |
Fares et al. [20] | 2021 | MPPT | An improved MPPT method based on the squirrel search algorithm | Local shading |
Shams et al. [21] | 2020 | MPPT | An improved MPPT algorithm based on a butterfly optimization algorithm | Fast-varying solar irradiation |
Pervez et al. [22] | 2021 | MPPT | An MPPT algorithm based on the most valuable player algorithm | Local shading |
Shams et al. [23] | 2020 | MPPT | An improved MPPT algorithm based on the team game optimization algorithm | Local shading |
Premkumar and Sowmya [24] | 2019 | MPPT | An improved MPPT algorithm based on the bionic whale optimization | Local shading |
Manoharan et al. [25] | 2020 | MPPT | An improved MPPT algorithm based on the P&O algorithm | Fast-varying solar irradiation |
Premkumar and Sumithira [26] | 2018 | MPPT | A MPPT algorithm based on P&O and Whale Optimization algorithms | Local shading |
Premkumaret al. [27] | 2021 | MPPT | A MPPT algorithm based on SALP group and P&O algorithm | Fast-varying solar irradiation |
Priyadarshi et al. [28] | 2018 | MPPT | An intelligent fuzzy particle swarm optimization based MPPT algorithm | Local shading |
Priyadarshi et al. [29] | 2018 | MPPT | An MPPT method based on Flower pollination algorithm | Local shading |
Priyadarshi et al. [30] | 2019 | MPPT | A hybrid MPPT method based on adaptive neural and PSO | Local shading |
Priyadarshi et al. [31] | 2019 | MPPT | A MPPT algorithm based on adaptive neural and artificial bee colony | Local shading |
Tayagaki et al. [32] | 2019 | To improve power generation efficiency | Study on the relationship between PV module inclination and power generation efficiency | Natural environment |
Zakaria et al. [33] | 2015 | To improve power generation efficiency | A solar azimuth tracking method based on artificial vision | Natural environment |
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