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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 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 languageEnglish
Title of host publication1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467385879
DOIs
Publication statusPublished - 13-02-2017
Event1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016 - Delhi, India
Duration: 04-07-201606-07-2016

Conference

Conference1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
CountryIndia
CityDelhi
Period04-07-1606-07-16

Fingerprint

Power Management
Hybrid systems
Hybrid Systems
Battery
Control Strategy
Photovoltaic System
Controllers
Voltage
Electric potential
Open circuit voltage
MATLAB
Excess
Charge
Controller
Incremental Algorithm
Power Flow
Matlab/Simulink
Conductance
Energy
Power management

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

Cite this

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
Jayalakshmi, N. S. ; Gaonkar, D. N. ; Adarsh, S. ; Sunil, S. / A control strategy for power management in a PV-battery hybrid system with MPPT. 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016. Institute of Electrical and Electronics Engineers Inc., 2017.
@inproceedings{78125508f24f488d8d9a38b0c8483db5,
title = "A control strategy for power management in a PV-battery hybrid system with MPPT",
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.",
author = "Jayalakshmi, {N. S.} and Gaonkar, {D. N.} and S. Adarsh and S. Sunil",
year = "2017",
month = "2",
day = "13",
doi = "10.1109/ICPEICES.2016.7853112",
language = "English",
booktitle = "1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

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 proceedingConference contribution

TY - GEN

T1 - A control strategy for power management in a PV-battery hybrid system with MPPT

AU - Jayalakshmi, N. S.

AU - Gaonkar, D. N.

AU - Adarsh, S.

AU - Sunil, S.

PY - 2017/2/13

Y1 - 2017/2/13

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.

UR - http://www.scopus.com/inward/record.url?scp=85015949374&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015949374&partnerID=8YFLogxK

U2 - 10.1109/ICPEICES.2016.7853112

DO - 10.1109/ICPEICES.2016.7853112

M3 - Conference contribution

AN - SCOPUS:85015949374

BT - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Jayalakshmi NS, Gaonkar DN, Adarsh S, Sunil S. 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. Institute of Electrical and Electronics Engineers Inc. 2017. 7853112 https://doi.org/10.1109/ICPEICES.2016.7853112