Development and validation of a real time flow control integrated MPPT charger for solar PV applications of vanadium redox flow battery

Bhattacharjee, Ankur; Samanta, Hiranmay; Banerjee, Nipak; Saha, Hiranmay

doi:10.1016/j.enconman.2018.06.088

Cited by 34 publications

(23 citation statements)

References 36 publications

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“…Kalman filter (EKF) for capacity monitoring [36], SOC estimation considering the capacity fading [37], and time flow control for charging using solar cells [38] or wind power [39].…”

Section: Mathematical Modellingmentioning

confidence: 99%

Redox flow batteries for energy storage: their promise, achievements and challenges

Arenas

León

Walsh

2019

Current Opinion in Electrochemistry

144

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Redox flow batteries continue to be developed for utility-scale energy storage applications. Progress on standardisation, safety and recycling regulations as well as financing has helped to improve their commercialisation. The technical progress of redox flow batteries has not considered adequately the significance of electrolyte flow velocity, mass transfer and plug flow reactor modelling, despite steps in the right direction. 3D simulations of fluid flow, pressure drop, current distribution and mechanical resistance using commercial software are becoming more common, but satisfactory validation by experiments is still unusual. The majority of research tends to report short term studies on small electrodes, often in poorly defined flow channels; long term evaluation of electrode and membrane durability on a pilot scale is needed. Digital imaging of electrode structure using X-ray computed tomography is increasingly being used. Much activity is directed to organic and non-aqueous systems. However, scale-up and high, sustained charge capacity using electrolytes of moderate cost which are environmentally acceptable to source, store, transport and handle require considerable attention. Recommendations for future work are discussed.

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“…Kalman filter (EKF) for capacity monitoring [36], SOC estimation considering the capacity fading [37], and time flow control for charging using solar cells [38] or wind power [39].…”

Section: Mathematical Modellingmentioning

confidence: 99%

Redox flow batteries for energy storage: their promise, achievements and challenges

Arenas

León

Walsh

2019

Current Opinion in Electrochemistry

144

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“…Several maximum power point tracking (MPPT) techniques have been developed for the solar charge controller (SCC) and studied to track this MPP of the solar cell. For example, perturb and observe (P&O) [8][9][10][11][12][13][14][15][16][17], incremental conductance (IC) [18][19][20][21][22][23], genetic neural algorithm [24][25][26] and fuzzy logic control (FLC) are studied [27][28][29] that can operate the solar PV panel at MPP with relatively higher efficiency. However, among them, the P&O algorithm is popular for its simplicity and high efficiency.…”

Section: Introductionmentioning

confidence: 99%

IoT-Enabled High Efficiency Smart Solar Charge Controller with Maximum Power Point Tracking—Design, Hardware Implementation and Performance Testing

et al. 2020

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Amid growing demand for solar photovoltaic (PV) energy, the output from PV panels/cells fails to deliver maximum power to the load, due to the intermittency of ambient conditions. Therefore, utilizing maximum power point tracking (MPPT) becomes essential for PV systems. In this paper, a novel internet of things (IoT)-equipped MPPT solar charge controller (SCC) is designed and implemented. The proposed circuit system utilizes IoT-based sensors to send vital data to the cloud for remote monitoring and controlling purposes. The IoT platform helps the system to be monitored remotely. The PIC16F877A is used as a main controller of the proposed MPPT-SCC besides implementing the perturb and observe (P&O) technique and a customized buck–boost converter. To validate the proposed system, both simulation and hardware implementation are carried out by the MATLAB/SIMULINK environment and laboratory set up, respectively. The proposed MPPT-SCC can handle the maximum current of 10 A at 12 V voltage. Results show that the efficiency of the proposed system reaches up to 99.74% during a month of performance testing duration.

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“…A PV module's output power is, however, plagued by irradiance levels, temperature, loads, and so on, which undoubtedly impair conversion efficiency. A number of studies in the literature have addressed such problems and improved the overall conversion efficiency of a PV system [5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27]. Ahmed et al proposed a design strategy of perturbation parameters based on the HC algorithm for PV MPPT control [5].…”

Section: Introductionmentioning

confidence: 99%

“…Valenciaga et al gave a closed-loop MPPT method based on the combination of a second order sliding mode observer (SOSMO) and a traditional PI controller [15]. Bhattacharjee et al presented a real-time flow control integrated solar PV MPPT [16]. Lasheen et al introduced a hybrid technique, consisting of the adaptive neuro-fuzzy inference system (ANFIS) and HC.…”

Section: Introductionmentioning

confidence: 99%

“…IEICE Electronics Express, Vol 16,. No.18,[1][2][3][4][5][6] to detect the output voltage V pv , of the PV module, and the current transducer is used to detect output current I pv of the PV module and then sends V pv and I pv signals to the MCU, wherein the MCU outputs a PWM signal with a frequency of 30 kHz so as to drive the boost converter S 1 operation[31].…”

mentioning

confidence: 99%

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A high-performance MPPT algorithm combining advanced three-point weight comparison and temporary stopped running strategy for PV systems

Liu

2019

IEICE Electron. Express

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This paper proposes a new maximum power point tracking (MPPT) control strategy, including a boost converter temporary stopped running (TSR) strategy and an advanced three-point weight comparison method (ATPWC). The proposed ATPWC was used to detect three power points of a photovoltaic (PV) module output, and a microcontroller unit (MCU) was used to calculate the slope of the three power points and to perform MPPT so as to improve the system's conversion efficiency. The proposed method was successfully applied to an independent solar power generation system, in which the PV module was connected to a boost converter and then connected in series with an inverter to a single-phase 110 VAC/60 Hz output and connected to the power grid. The measured results showed that, in terms of the TSR control strategy, when the system output met a load of 110 Vrms, TSR could reduce switching loss and conduction loss and result in a 10% higher overall system conversion efficiency than that of traditional control. In terms of the MPPT algorithm, actual measurements were carried out under an irradiance level of 100 W/m 2 ∼700 W/m 2. Versus traditional hill climbing (HC) algorithm, the efficiency of the proposed ATPWC was better.

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Development and validation of a real time flow control integrated MPPT charger for solar PV applications of vanadium redox flow battery

Cited by 34 publications

References 36 publications

Redox flow batteries for energy storage: their promise, achievements and challenges

Redox flow batteries for energy storage: their promise, achievements and challenges

IoT-Enabled High Efficiency Smart Solar Charge Controller with Maximum Power Point Tracking—Design, Hardware Implementation and Performance Testing

A high-performance MPPT algorithm combining advanced three-point weight comparison and temporary stopped running strategy for PV systems

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