Peripheral interface controller-based maximum power point tracking algorithm for photovoltaic DC to DC boost controller

Ghani, Z. A.; Onn, E.; Zeain, Mohammed Yousif; Toding, Apriana; Azidin, Farid Arafat; Othman, Hidayatulfathi; Zakaria, Zahriladha; Lago, Herwansyah

doi:10.12928/telkomnika.v18i1.12730

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…The microcontroller can monitor the input voltage, output voltage, and current, and detect abnormal conditions such as overvoltage, undervoltage, overcurrent, and short-circuit [18]. In the event of a fault, the microcontroller can activate protection mechanisms such as shutdown, current limiting, or voltage clamping to prevent damage to the converter and the load [19]. Furthermore, the microcontroller can communicate with other devices in the system using protocols such as I2C, SPI, or CAN, enabling advanced system-level control and monitoring.…”

Section: Int J Elec and Comp Engmentioning

confidence: 99%

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Martinez

Ariza

Sarmiento

2023

IJECE

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<p>In the present research, an innovative fuzzy control approach is developed specifically for synchronous buck converters utilized in renewable energy applications. The proposed control strategy effectively manages load changes, nonlinear loads, and input voltage variations while improving both stability and transient response. The method employs a fuzzy inference system (FIS) that integrates adaptive control, feedforward control, and multivariable control to guarantee optimal performance under a wide range of operating conditions. The design of the control scheme involves formulating a rule base connecting input variables to an output variable, which signifies the duty cycle of the switching signal. The rule base is configured to dynamically modify control rules and membership functions in accordance with load conditions, input voltage fluctuations, and other contributing factors. The performance of the control scheme is evaluated in comparison to conventional techniques, such as proportional integral derivative (PID) control. Results indicate that the advanced fuzzy control approach surpasses traditional methods in terms of voltage regulation, stability, and transient response, particularly when faced with variable load conditions and input voltage changes. As a result, this control scheme is highly compatible with renewable energy systems, encompassing solar and wind power installations where input voltage and load conditions may experience considerable fluctuations. This research highlights the potential of the proposed fuzzy control approach to significantly enhance the performance and reliability of renewable energy systems.</p>

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Section: Int J Elec and Comp Engmentioning

confidence: 99%

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Martinez

Ariza

Sarmiento

2023

IJECE

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“…Solar tracking is the traditional way that is utilized to get the most out of the energy that is collected [156] [157]. One other approach that may be taken to get maximum power is called MPPT [6]- [8], [11], [12], [15], [19], [27], [28], [35], [41], [42], [48], [51], [52], [57], [62], [64]- [66], [69]- [71], [74], [77], [80], [82], [83], [85], [89], [90], [93], [95], [96], [98], [106], [108], [112], [113], [158]- [245]. The MPP can be detected with the use of an MPPT algorithm that is placed on the microcontroller [246].…”

Section: Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

“…Numerous methods are utilized on a regular basis to accomplish the task of tracking maximum power point in PV systems [185]. These methods include hill-climbing, perturbation and observation (P&O), look-up table, incremental conductance (Inc-Cond), linearization-based, DC-link capacitor droop control, curve fitting, extremum seeking control, feedback voltage or current, feedback of power variation with voltage, feedback of power variation with current, firefly algorithm, fractional open-circuit voltage (FOCV), fractional short-circuit current (FSCI), artificial neural network (ANN), fuzzy logic, genetic algorithm, particle swarm optimization (PSO), ant colony based optimization, one cycle control (OCC), ripple correlation control (RCC), parasitic capacitance, and slidingmode [6]- [8], [11], [12], [15], [19], [27], [28], [35], [41], [42], [48], [51], [52], [57], [62], [64]- [66], [69]- [71], [74], [77], [80], [82], [83], [85], [89], [90], [93], [95], [96], [98], [106], [108], [112], [113], [158]- [245].…”

Section: Maximum Power Point Tracking (Mppt)mentioning

confidence: 99%

“…The voltage on the load side is larger than the PV voltage in solar harvesting energy applications. It implies that the step-up voltage procedure must be carried out, and the boost converter becomes one of the several topologies that may be chosen and included into an MPPT [32], [36], [55], [58], [78], [81], [82], [93], [102], [103], [110], [132], [135], [258], [264], [276], [278], [286]- [300]. The boost converter is the most popular option, and it has been manufactured by industry [295].…”

Section: Boost Convertermentioning

confidence: 99%

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Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Sutikno

Purnama

Aprilianto

et al. 2022

IJEECS

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Solar photovoltaic (PV) power generation has become increasingly important as a renewable source of energy due to the many benefits it offers. These benefits include the ease with which it can be allocated; the absence of noise; the longer life; the absence of pollution; the shorter amount of time required for installation; the high mobility and portability of its parts; and the capability of its output power to meet peak load requirements. DC-DC converters are typically incorporated into solar energy harvesting systems because they allow for the more efficient exploitation of solar cells. One of the difficulties is in the selection of a suitable converter since this has an effect on the operation of the PV system. This study discusses the modernisation of several different DC-DC converter topologies for solar energy harvesting systems. Some of these topologies are boost, buck-boost, single-ended primary-inductance converter (SEPIC), Cuk, and flyback. The topologies have been compared so that detailed information on the complexity of the hardware, the cost of implementation, the efficiency of the energy transfer elements, the tracking efficiency, and the efficiency of the converters can be provided. This paper will be useful as a handy reference in choosing the best converter topology for solar energy harvesting applications.

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“…It is the sources of direct current and the food can be different from the quality of the loads, which requires converting it to suit the load [74][75][76]. Therefore, we need electronic switches to build electronic switching systems, which studies have proven [77][78][79].…”

Section: Introductionmentioning

confidence: 99%

Simulation Model of Single-Phase AC-AC Converter by Using MATLAB

Shaker¹,

Shneen²,

Abdullah³

et al. 2022

Journal of Robotics and Control

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The current research sheds light on the electronic power devices that work as transformers and are named according to the function. A model of a single-phase transformer AC-AC type with half-wave and full-wave quality has been proposed. Its output is controlled by power, voltage and current, which is considered an input to the load. The fixed input transformer has a variable output according to the required power, voltage and current. Inverters of this type have so many uses that they are used in many different applications, including industrial, induction motor speed control, military, medical and household, including low-light circuits, among others. A simulation involving different types of single-phase AC transformers is proposed. The models were built in two ways, the first using a diode as an electronic switch, and the second using a thyristor. Different values for the load were chosen by adopting three values of 30 ohms, 40 ohms, and 50 ohms. An alternating power supply with an RMS value of 222 volts. Simulation was carried out after modeling to test the performance of the proposed transformer and its various modes of operation. Simulation models confirmed and reinforced the working theories of the proposed structures. From the results, we can reach the possibility of changing the voltage and power values using the electronic transformer by using the frequency of closing and opening the electronic keys within specific periods according to the proposed model, which can be represented or modified.

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Peripheral interface controller-based maximum power point tracking algorithm for photovoltaic DC to DC boost controller

Cited by 6 publications

References 16 publications

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Fuzzy control of synchronous buck converters utilizing fuzzy inference system for renewable energy applications

Modernisation of DC-DC converter topologies for solar energy harvesting applications: A review

Simulation Model of Single-Phase AC-AC Converter by Using MATLAB

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