Optimizing of the installed capacity of hybrid renewable energy with a modified MPPT model

The lack of wind speed capacity and the emission of photons from sunlight are the problem in a hybrid system of photovoltaic (PV) panels and wind turbines. To overcome this shortcoming, the incremental conductance (IC) algorithm is applied that could control the converter work cycle and the switching of the buck boost therefore maximum efficiency of maximum power point tracking (MPPT) is reached. The operation of the PV-wind hybrid system, consisting of a 100 W PV array device and a 400 W wind subsystem, 12 V/100 Ah battery energy storage and LED, the PV-wind system requires a hybrid controller for battery charging and usage and load lamp and it’s conducted in experimental setup. The experimental has shown that an average increase in power generated was 38.8% compared to a single system of PV panels or a single wind turbine sub-system. Therefore, the potential opportunities for increasing power production in the tropics wheather could be carried out and applied with this model.

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Estimation-Based Maximum Power Point Tracking in a Self-Balancing Photovoltaic Battery Energy Storage System

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.4043756 ◽

2019 ◽

Vol 141 (10) ◽

Author(s):

Partha P. Mishra ◽

Michelle Denlinger ◽

Hosam K. Fathy

Keyword(s):

Energy Storage ◽

Hybrid System ◽

Maximum Power Point Tracking ◽

Maximum Power ◽

Maximum Power Point ◽

Battery Energy Storage ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Battery Energy

This paper examines the problem of controlling the exchange of current in photovoltaic-plus-storage systems to achieve photovoltaic (PV) maximum power point tracking (MPPT). This work is motivated by the need for MPPT algorithms that are less costly and complex to implement in PV farms with integrated battery energy storage. We study the online optimal control of a “hybrid” PV/lithium (Li)-ion battery integration topology that is self-balancing in nature. The self-balancing behavior ensures that the state of charge (SOC) across different cells balances to the same stable equilibrium value without needing any balancing power electronics, thereby significantly reducing the integration cost. The DC–DC converters in this hybrid system are controlled to achieve PV MPPT that maximizes energy generation and storage. However, sensing needs for traditional MPPT controllers can render the hybrid system unnecessarily complex and costly. We surmount this problem by: (i) developing a novel model-based PV power estimation algorithm that only requires voltage measurement, and (ii) using this algorithm together with extremum-seeking (ES) control to achieve closed-loop, estimation-based PV MPPT. Simulation case studies show that this estimation-based MPPT controller is able to harness more than 99% of the maximum available solar energy under different irradiation profiles.

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Efficiency evaluation of experimental (photovoltaic -wind) hybrid system with the effect of Maximum power point tracking charge controller to the production of Valve regulated lead-acid batteries in Constantine-Algeria

Journal of Energy Storage ◽

10.1016/j.est.2021.102856 ◽

2021 ◽

Vol 41 ◽

pp. 102856

Author(s):

Ait Kaki Lamia Ghanima ◽

Bellel Nadir

Keyword(s):

Hybrid System ◽

Maximum Power Point Tracking ◽

Maximum Power ◽

Efficiency Evaluation ◽

Maximum Power Point ◽

Lead Acid Batteries ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point ◽

Lead Acid

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Implementation of Algorithm on MPPT

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.36186 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 5473-5478

Author(s):

Bharat Khandelwal

Keyword(s):

Tracking System ◽

Maximum Power Point Tracking ◽

Maximum Power ◽

Maximum Efficiency ◽

Maximum Power Point ◽

Good Efficiency ◽

Point Tracking ◽

Power Point Tracking ◽

Incremental Conductance ◽

Power Point

Solar energy is a potential energy source in India. A photovoltaic is a efficient way to cure the energy in a huge amount and keep to gather that kind of energy for future, and the PV must have good efficiency. The maximum power point tracking (MPPT) is a process that tracks one maximum power point from array input, in which the ratio varies between the voltage and current delivered to get the most power it can. Several algorithms have been developed for extracting maximum power. To increase its efficiency many MPPT techniques are used. Incremental conductance is one of the important techniques in this system and because of its higher steady-state accuracy and environmental adaptability it is a widely implemented tracked control strategy. This research was aimed to explore the performance of a maximum power point tracking system that implements the Incremental Conductance (IC) method. The IC algorithm was designed to control the duty cycle of the Buck-Boost converter and to ensure the MPPT work at its maximum efficiency. From the simulation, the IC method shows better performance and also has a lower oscillation.

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Power Quality Improvement in Grid-connected Photovoltaic–Fuel Cell Based Hybrid System Using Robust Maximum Power Point Tracking Controller

Electric Power Components and Systems ◽

10.1080/15325008.2015.1082680 ◽

2015 ◽

Vol 43 (20) ◽

pp. 2235-2250 ◽

Cited By ~ 7

Author(s):

Sandipan Patra ◽

Modem Narayana ◽

Soumya R. Mohanty ◽

Nand Kishor

Keyword(s):

Quality Improvement ◽

Fuel Cell ◽

Power Quality ◽

Hybrid System ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Tracking Controller ◽

Power Quality Improvement ◽

Power Point

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Maximum power point tracking in photovoltaic systems

ITM Web of Conferences ◽

10.1051/itmconf/20192801021 ◽

2019 ◽

Vol 28 ◽

pp. 01021

Author(s):

Grażyna Frydrychowicz-Jastrzębska

Keyword(s):

Block Diagram ◽

Mechanical Energy ◽

Electric Energy ◽

Energy Conversion Efficiency ◽

Maximum Power ◽

Maximum Efficiency ◽

Maximum Power Point ◽

Point Tracking ◽

Power Point Tracking ◽

Power Point

The subject of the analysis was the optimisation of interoperation between the photovoltaic battery (PV) and DC motor, which drives a fan, with respect to the maximum efficiency of conversion of the electric energy into mechanical energy. Based on the block diagram, a mathematical model of this circuit was developed to ensure the mutual matching between the Maximum Power Point (MPP) of the battery and the receiver operation point. A computer simulation of the battery characteristics was conducted taking into account the changing MPP location on the characteristic vs. changes in solar radiation and temperature. The issue was considered for the optimal motor excitation coefficient, both changing and averaged in time. The energy conversion efficiency was determined for selected PV modules, as well as time.

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