An Experimental Study on Zeta Buck–Boost Converter for Application in PV System

Priyadarshi, Neeraj; Yadav, Kavita; Kumar, Vinod; Vardia, Monika

doi:10.1007/978-3-319-51343-0_13

Cited by 34 publications

(11 citation statements)

References 17 publications

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“…The Inverse-Sepic converter consists of an electronic circuit that converts the level of voltage from one state to another state. For any kind of photovoltaic systems, the Inverse-Sepic converter is used to maximize the power [15][16][17].…”

Section: System Descriptionmentioning

confidence: 99%

Experimental investigations and comparison of various MPPT techniques for photovoltaic system

Gupta

Chauhan²,

Maity

2018

Sādhanā

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This paper deals with Matlab/Simulink and experimental investigations of various maximum power point tracking (MPPT) techniques namely incremental conductance (Inc), perturb and observation (P&O), constant voltage control (CVC) method, and introduction of a novel reference power (Pref) method for extracting the maximum power from the solar photovoltaic (PV) system. The complete system model along with these MPPT methods are developed in Matlab/Simulink and simulation results are obtained during sudden increase in irradiation of 1000 W/m 2 , and verified experimentally. These MPPT methods are also implemented on Inverse-Sepic converter, which claims to extract maximum power from the PV system. Various experimental observations are taken to access the performance of these MPPT techniques such as settling time of the full load current under sudden exposure of irradiation level of 1000 W/m 2 , performance during step increase in irradiation level (from 500 W/m 2 to 1000 W/m 2) and vice versa. Extensive results are taken to compare these methods. The proposed Pref method is found to have lowest settling time to stabilize the load current as 520 ms, whereas, Inc method takes 1.24 s. Further, the efficiency of Inverse-Sepic converter with Pref method achieves the highest efficiency of 95.26%, whereas, it extracts lowest efficiency on same input as 90.77% with P&O method. The overall performance of the proposed Pref method is found to be superior as compared to other discussed MPPT methods as verified by experimental results.

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Section: System Descriptionmentioning

confidence: 99%

Experimental investigations and comparison of various MPPT techniques for photovoltaic system

Gupta

Chauhan²,

Maity

2018

Sādhanā

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“…Distinct DC-DC converters were contend for optimizing PV module generated power with soft starting and controlling motor pump system [9][10][11]. The contemporary PV system has unsubstantial converse competency.…”

Section: Figure 1 Bldc Driven Photovoltaic Complete System Formationmentioning

confidence: 99%

Maximum Power Point Tracking for Brushless DC Motor Driven Photovoltaic Pumping System Using Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

Priyadarshi¹,

Padmanaban²,

Mihet‐Popa³

et al. 2018

Preprint

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“…Therefore, in this research work, a brushless DC (BLDC) motor has been considered as it has simple design control, low power range and requires maintenance-free operation compared to AC motors [8]. Distinct DC-DC converters were contenders for optimizing PV module generated power with a soft-starting and controlling motor pump system [9][10][11]. The contemporary PV system has insubstantial converse competency.…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

Priyadarshi¹,

Padmanaban

Mihet‐Popa

et al. 2018

Energies

Self Cite

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In this research paper, a hybrid Artificial Neural Network (ANN)-Fuzzy Logic Control (FLC) tuned Flower Pollination Algorithm (FPA) as a Maximum Power Point Tracker (MPPT) is employed to amend root mean square error (RMSE) of photovoltaic (PV) modeling. Moreover, Gaussian membership functions have been considered for fuzzy controller design. This paper interprets the Luo converter occupied brushless DC motor (BLDC)-directed PV water pump application. Experimental responses certify the effectiveness of the suggested motor-pump system supporting diverse operating states. The Luo converter, a newly developed DC-DC converter, has high power density, better voltage gain transfer and superior output waveform and can track optimal power from PV modules. For BLDC speed control there is no extra circuitry, and phase current sensors are enforced for this scheme. The most recent attempt using adaptive neuro-fuzzy inference system (ANFIS)-FPA-operated BLDC directed PV pump with advanced Luo converter, has not been formerly conferred.

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An Experimental Study on Zeta Buck–Boost Converter for Application in PV System

Cited by 34 publications

References 17 publications

Experimental investigations and comparison of various MPPT techniques for photovoltaic system

Experimental investigations and comparison of various MPPT techniques for photovoltaic system

Maximum Power Point Tracking for Brushless DC Motor Driven Photovoltaic Pumping System Using Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm

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