A control strategy for power management in a PV-battery hybrid system with MPPT

N. S. Jayalakshmi; D. N. Gaonkar; S. Adarsh; S. Sunil

doi:10.1109/ICPEICES.2016.7853112

A control strategy for power management in a PV-battery hybrid system with MPPT

N. S. Jayalakshmi, D. N. Gaonkar, S. Adarsh, S. Sunil

Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

The paper presents a control strategy which manages the power flow between a Photovoltaic (PV) module, battery and the load. Since PV system provides an unregulated voltage output, it is regulated to a desired voltage level and then given to the charge controller, which distributes the power between battery and load. To extract acme power from PV system, a Maximum Power Point Tracking (MPPT) scheme is employed. The excess energy left, after meeting the load demand, is stored in the battery. The stored energy is utilized to meet the future load demands, when there is a power deficit from the PV system. Hence power requirement of the load is managed. Also a comparison between the three commonly used MPPT techniques: Perturb & Observe (P&O) algorithm, Incremental Conductance (IC) algorithm and Fractional Open Circuit Voltage (FOCV) algorithms is done and the most suitable technique is employed for the hybrid system. When the battery is fully charged, the excess power is absorbed by the dump load, which is also managed by the charge controller. The entire hybrid system is simulated and verified in the MATLAB/Simulink platform.

Original language	English
Title of host publication	1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467385879
DOIs	https://doi.org/10.1109/ICPEICES.2016.7853112
Publication status	Published - 13-02-2017
Event	1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 - Delhi, India Duration: 04-07-2016 → 06-07-2016

Conference

Conference	1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
Country	India
City	Delhi
Period	04-07-16 → 06-07-16

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Control and Optimization
Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

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Jayalakshmi, N. S., Gaonkar, D. N., Adarsh, S., & Sunil, S. (2017). A control strategy for power management in a PV-battery hybrid system with MPPT. In 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 [7853112] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPEICES.2016.7853112

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Jayalakshmi, NS, Gaonkar, DN, Adarsh, S & Sunil, S 2017, A control strategy for power management in a PV-battery hybrid system with MPPT. in 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016., 7853112, Institute of Electrical and Electronics Engineers Inc., 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016, Delhi, India, 04-07-16. https://doi.org/10.1109/ICPEICES.2016.7853112

A control strategy for power management in a PV-battery hybrid system with MPPT. / Jayalakshmi, N. S.; Gaonkar, D. N.; Adarsh, S.; Sunil, S.

1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7853112.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The paper presents a control strategy which manages the power flow between a Photovoltaic (PV) module, battery and the load. Since PV system provides an unregulated voltage output, it is regulated to a desired voltage level and then given to the charge controller, which distributes the power between battery and load. To extract acme power from PV system, a Maximum Power Point Tracking (MPPT) scheme is employed. The excess energy left, after meeting the load demand, is stored in the battery. The stored energy is utilized to meet the future load demands, when there is a power deficit from the PV system. Hence power requirement of the load is managed. Also a comparison between the three commonly used MPPT techniques: Perturb & Observe (P&O) algorithm, Incremental Conductance (IC) algorithm and Fractional Open Circuit Voltage (FOCV) algorithms is done and the most suitable technique is employed for the hybrid system. When the battery is fully charged, the excess power is absorbed by the dump load, which is also managed by the charge controller. The entire hybrid system is simulated and verified in the MATLAB/Simulink platform.

AB - The paper presents a control strategy which manages the power flow between a Photovoltaic (PV) module, battery and the load. Since PV system provides an unregulated voltage output, it is regulated to a desired voltage level and then given to the charge controller, which distributes the power between battery and load. To extract acme power from PV system, a Maximum Power Point Tracking (MPPT) scheme is employed. The excess energy left, after meeting the load demand, is stored in the battery. The stored energy is utilized to meet the future load demands, when there is a power deficit from the PV system. Hence power requirement of the load is managed. Also a comparison between the three commonly used MPPT techniques: Perturb & Observe (P&O) algorithm, Incremental Conductance (IC) algorithm and Fractional Open Circuit Voltage (FOCV) algorithms is done and the most suitable technique is employed for the hybrid system. When the battery is fully charged, the excess power is absorbed by the dump load, which is also managed by the charge controller. The entire hybrid system is simulated and verified in the MATLAB/Simulink platform.

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