Implementation of a novel hybrid BAT-Fuzzy controller based MPPT for grid-connected PV-battery system

Ge, Xun; Ahmed, Faraedoon Waly; Rezvani, Alireza; Aljojo, Nahla; Samad, Sarminah; Foong, Loke Kok

doi:10.1016/j.conengprac.2020.104380

Cited by 80 publications

(21 citation statements)

References 28 publications

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“…The hybrid modified shuffled-frog leaping optimization algorithm (MSFLA) with FLC has been presented in [31]. Another hybrid BAT algorithm with FLC has been introduced in [32] for grid tied systems. The differential evaluation optimizer algorithms (DEOA) based FLC design was presented in [7] for PEMFC systems.…”

Section: Introductionmentioning

confidence: 99%

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

et al. 2021

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Fuel cell (FC) represents one of the promising efficient solutions for future energy supply. Improving performance and integration methods of FCs via maximum power point tracking (MPPT) and high boosting factor inverters are key requirements for research in renewable energy fields. Recently, hybrid FC-battery structures have shown wide applications in several areas. Accordingly, marine predators algorithm (MPA) is proposed in this article for optimizing the design of reduced sensor fuzzy-logic based MPPT scheme. The proposed scheme inherits the following benefits: reduced sensors and hence reduced costs, more flexibility and smooth performance due to fuzzy-logic based MPPT, and optimized design method of fuzzy-logic based MPPT through MPA method. Moreover, a high boosting ratio inverter is introduced in this article based on using the switched capacitor multilevel inverter (SCMLI). The proposed system achieves self capacitor voltage control without complex control or extra sensors. The proposed hybrid FC-battery system has been validated at various operating points. In addition, comprehensive comparisons with existing schemes in the literature are provided in the paper. The superiority of the proposed scheme has been verified with robust, fast and accurate tracking, reduced cost, flexible, simple, and smooth output waveforms. The proposed method achieves the lowest output power fluctuations with fast tracking speed compared to the studied classical methods.INDEX TERMS Battery, fuel cells (FCs), fuzzy logic control, marine predators algorithm, maximum power point tracking, stand alone applications.

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Section: Introductionmentioning

confidence: 99%

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

et al. 2021

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“…38 Additionally, hybrid FLC systems have been introduced in literature for fuel cell applications. 39,40 In Reference 41, a fractional order FLC method has been presented for TEG systems. The presented method employs the benefits of fractional order systems to achieve fast tracking of the MPP.…”

Section: Introductionmentioning

confidence: 99%

A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

Aly

Rezk

2021

Int J Energy Res

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“…The conventional algorithms, such as Perturb and Observe (P&O) [3] and incremental conductance (IC) [4][5][6] are considered economical and easy to implement but with non-steady efficiency [7]. On the other hand, the intelligence computing algorithms, for example fuzzy logic control [8], artificial neural networks [9], particle swarm optimization [10], genetic algorithms [11], hybrid BAT-Fuzzy [12], and Cuckoo Search (CS) [13] are complicated methods and have long computational time and weak convergence speed but with high efficiency [14]. In the case of uniform irradiation, the previous research works have confirmed that conventional MPPT methods can track the MPP efficiently, while under PSC these techniques fail to guarantee effective and accurate tracking of the GMPP [15].…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions

et al. 2020

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The convenient design of a maximum power point tracking (MPPT) controller is key to the success of photovoltaic (PV) system performance in order to maximize the extracted power, which is affected significantly by weather fluctuations, particularly partial shading condition (PSC). This paper proposes a novel hybrid MPPT approach based on a modified Perturb and Observe (P&O) assisted by the Extremum Seeking Control (ESC) strategy, combining the benefits of these simple algorithms and, meanwhile, eliminating their drawbacks. The proposed algorithm is able to track the maximum possible power under any level of weather fluctuation, with comprehensive enhancement on all aspects of high performance, boosting the PV array efficiency to 100%, reducing the convergence time to less than 100 ms, completely eradicating the oscillations around the achieved power, and maintaining the simplicity levels of both involved strategies. More importantly, this algorithm is applicable for any PV array configuration, which enhances the robustness and novelty of the algorithm. The performance is verified using MATLAB/Simulink. A boost converter is used for controlling DC to DC (direct current to direct current) power. The proposed algorithm’s performance is compared with the conventional P&O and incremental conductance (IC) algorithms under four different cases of weather conditions. The shortcomings of these algorithms are illustrated and the analysis confirms the effectiveness of the proposed algorithm accordingly.

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Implementation of a novel hybrid BAT-Fuzzy controller based MPPT for grid-connected PV-battery system

Cited by 80 publications

References 28 publications

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

Marine Predators Algorithm Optimized Reduced Sensor Fuzzy-Logic Based Maximum Power Point Tracking of Fuel Cell-Battery Standalone Applications

A MPPT based on optimized FLC using manta ray foraging optimization algorithm for thermo‐electric generation systems

A Novel Hybrid Approach for Maximizing the Extracted Photovoltaic Power under Complex Partial Shading Conditions

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