Implementation of ANN for Optimization MPPT Using Zeta Converter

Yunitasari, Dewi Rahmatika; Sunarno, Epyk; Ferdiansyah, Indra; Putra, Putu Agus Mahadi; Raharja, Lucky Pradigta Setiya

doi:10.1109/icoiact50329.2020.9331990

Cited by 5 publications

(4 citation statements)

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“…From an input voltage whose output value fluctuates up and down, a positive output voltage is produced by the zeta converter topology. Two inductors are needed for zeta converters, as well as a flying capacitor in series [18] [21]. 5 illustrate that its zeta converter works at CCM when both Q1 and Q2 are turned off.…”

Section: Zeta Converter Modellingmentioning

confidence: 99%

“…While inductor L2 is charged by capacitor C1, inductor L1 is charged by the input source voltage. Consequently, the current in both inductors grows linearly under these circumstances [20] [21]. In the State Off position (Q1 is not active), the diode D1 is in the condition of forward bias or conduction, as shown in Figure 5.…”

Section: Zeta Converter Modellingmentioning

confidence: 99%

“…The result of dividing the value of P by V is called the slope. To achieve the MPP value, the slope value =0 [21], [26]. The proportion of P to V determines the slope's orientation.…”

Section: Maximum Power Point Tracking Designmentioning

confidence: 99%

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Design MPPT with Anfis Method on Zeta Converter With DC Load

Sunarno

Sudiharto²,

Yolanita³

2023

KINETIK

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Maximum power point tracking (MPPT) for PV (Photovoltaic) systems is provided in this research using artificial intelligence-based control. The design of MPPT system with Anfis Method on the Zeta Converter with DC Load is used to optimize the work of the Photovoltaic which will be used for DC load sources. The MPPT process consists of four main stages, namely module training data, determining input and output data, determining the number and type of membership functions and ANFIS training data. Zeta converter works like a buck boost, which can increase or decrease the voltage which is an advantage in designing systems with very volatile Photovoltaic sources. Zeta Converter is used to get higher efficiency, smaller input and output current ripple values and smaller core losses in the inductor. To improve the efficiency of system performance, An MPPT algorithm for the adaptive neuro fuzzy inference system (ANFIS) that is programmed into a microcontroller controls the zeta converter. ANFIS control is used because the response is faster and more effective. The combined simulation's findings demonstrate that the ANFIS control was successful, and the system can now produce the best possible power from Photovoltaic ipanelsiiniMPPT mode by boosting efficiency by up to 19.96%.

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Section: Zeta Converter Modellingmentioning

confidence: 99%

Section: Zeta Converter Modellingmentioning

confidence: 99%

See 1 more Smart Citation

Design MPPT with Anfis Method on Zeta Converter With DC Load

Sunarno

Sudiharto²,

Yolanita³

2023

KINETIK

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“…Currently, among the various existing renewable energy sources, solar energy, as one of the most sustainable and promising energy sources, is utilized widely around the world [1]. It is also considered to be a unique renewable energy process that may be integrated harmoniously in a residential environment [2].…”

Section: Introductionmentioning

confidence: 99%

Proposal for an Active PV Array to Improve System Efficiency During Partial Shading

Itako

Kudoh

et al. 2021

IEEE Access

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Owing to time-varying external environmental influences, undesirable string mismatches frequently occur in photovoltaic (PV) power generation systems, which will cause conventional PV systems to experience extremely severe power losses. Under partial shading conditions (PSCs) caused by passing clouds, neighboring buildings, and animal excrement, the characteristic curve of the PV string becomes complicated with multiple peaks, which increases the difficulty of determining the maximum power point (MPP) of the array. However, it is essential to ascertain the global maximum power point (GMPP) to extract the full power of each PV module. Therefore, we propose a new type of PV generation module constituting an active PV array (APV) system as well as its control strategy. It can ensure that the system continuously operates in the optimal state when the solar irradiation intensity drops drastically due to unanticipated environmental variables. Depending on the experiment of two PV arrays under identical conditions, the efficiency and reliability of the APV system are substantiated. Meanwhile, in the case where the external environmental conditions are deliberately changed, the experimental results fully illustrate the adaptability of the APV system to diverse harsh conditions.INDEX TERMS Active PV array, global maximum power point tracking, PV string, partial shading conditions, real-time scanning method.

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