Maximum power point tracking controller IC based on ripple correlation control algorithm

Tolentino, Lean Karlo S.; Cruz, Febus Reidj G.; Garcia, Ramon G.; Chung, Wen-Yaw

doi:10.1109/hnicem.2015.7393230

Cited by 12 publications

(4 citation statements)

References 13 publications

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“…This algorithm-based controller heightens the output between the battery bank and solar panel, thus charging faster than a standard panel. The MPPT Solar Charge Controller's function is to transfer the maximum power from the solar panel to the battery and to track the entire powerpoint of the solar panel (Batarseh & Za'ter, 2018;Gratela et al, 2019;Madrigal et al, 2019;Merin et al, 2018;Tolentino, Cruz, Garcia, & Chung, 2015;Tolentino, Cruz, & Chung, 2018).…”

Section: Mppt Solar Charge Controllermentioning

confidence: 99%

Autogation: An Alternate Wetting and Drying-Based Automatic Irrigation and Paddy Water Level Control System through Internet of Things

et al. 2021

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Journal of Agricultural Sciencewww.agrivita.ub.ac.id (2014). This Microcontroller was programmed in an accessible Integrated Development Environment (IDE) to outline a cost-effective "open hardware" platform. The designed platform will be used to measure parameters including soil water content at different levels and the temperature of the soil and air. Meanwhile, Chung, Caya, & Chen (2013) discussed the "open hardware" platform. This platform was designed with sensors that are being observed with Zigbee wireless network. The measurements of critical parameters in a ARTICLE INFO

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Section: Mppt Solar Charge Controllermentioning

confidence: 99%

Autogation: An Alternate Wetting and Drying-Based Automatic Irrigation and Paddy Water Level Control System through Internet of Things

et al. 2021

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“…Tolentino et al studied the use of ripple correlation control algorithm (RCC) for an analog maximum power point tracking (MPPT) controller integrated circuit which also involves enhancing of efficiency by improving the operating temperature. Results of simulation presented a tracking efficiency of 97.42% at 1000W/m 2 solar irradiance with 25 degrees Celsius of temperature [7].…”

Section: Nizetic Et Al Introduced An Active Cooling Technique By Usingmentioning

confidence: 98%

Hybrid Cooling System for Solar PV Panel

Rickric¹

2020

IJETER

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One convenient technology used nowadays are solar photovoltaic panels. It is a device used to alter light energy to electrical energy. Most of the panels have low energy conversion resulting to low efficiency of the panel itself. Among the different factors, temperature mostly affects the process of conversion which causes deficiency throughout the operating period on the long run. As solution, varieties of different cooling systems were developed to sustain the operating temperature in order to not go over a specific limit. This study compares the solar photovoltaic panel power output without cooling system and with the hybrid air-and water-cooling fluids applied to the system simultaneously. The angle is fixed at 15 degrees based on the country's latitudinal location where the experiments were performed. Current, voltage, power, irradiance and efficiency were gathered data using each parameter sensor. Results shows a substantial rise f efficiency on the panel that uses a hybrid cooling system liken to the standard power rating of the panel used.

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“…The P and O technique used current, voltage and power cycle as variables [6]. Additionally, the ripple correlation control (RCC) technique was applied in the construction of an analog MPPT controller [7].…”

Section: Introductionmentioning

confidence: 99%

Neuro-Fuzzy based MPPT for Solar PV Panel

Pagatpatan¹

2020

IJETER

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Various atmospheric elements like irradiance and temperature, affect the power production and nonlinearity of I-V qualities of solar photovoltaic system. A solution is developed to mitigate the said negative effect, which is the application of maximum power point tracking (MPPT) for charge controllers. MPPT is integrated in buck-boost circuit to instantaneously boost the produced energy of the panel towards the battery by regulating its current or voltage of the panel using pulse width modulated signal (PWM). The proposed algorithm utilized is Adaptive Neuro-Fuzzy Inference System (ANFIS) and inputs are collected with voltage, current, lux and temperature sensors. The neural network trained the data first while the fuzzy logic generated the rules to guide the system to generate the appropriate value of duty cycle as the output. The fuzzy inference system (FIS) training phase showed that the trimf produced the least inaccuracy of 0.0015666%. meanwhile the testing phase showed an average testing error of 0.086933%.

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Maximum power point tracking controller IC based on ripple correlation control algorithm

Cited by 12 publications

References 13 publications

Autogation: An Alternate Wetting and Drying-Based Automatic Irrigation and Paddy Water Level Control System through Internet of Things

Autogation: An Alternate Wetting and Drying-Based Automatic Irrigation and Paddy Water Level Control System through Internet of Things

Hybrid Cooling System for Solar PV Panel

Neuro-Fuzzy based MPPT for Solar PV Panel

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