Maximum Power Point Tracking of a Photovoltaic System Using Modified Incremental Algorithm and Model Predictive Control

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Dehghanzadeh ahmad; Farahani Gholamreza; Maboodi Mohsen

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Control Year:2018 | Volume:12 | Issue:2 Page(s): 67-75

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

434

Download:

Cites:

Information Journal Paper

Title

Maximum Power Point Tracking of a Photovoltaic System Using Modified Incremental Algorithm and Model Predictive Control

Author(s)

Dehghanzadeh ahmad | Farahani Gholamreza | Maboodi Mohsen | Issue Writer Certificate

Keywords

PV systemQ1

model predictive control (MPC)Q1

finite control set MPC (FCS-MPC)Q1

Incremental conductance.Q1

Abstract

In this paper a systematic methodology to design a modified Incremental conductance.and a model predictive control (MPC) for maximum power point tracking of a photovoltaic system is presented. The PV system includes a PV module that supplies a DC link and also an energy storage system using a buck DC-DC converter. The Incremental conductance.(INC) method with two modifications is employed for maximum power point tracking (MPPT) within P-V characteristic curve according to changes in weather condition. To avoid a finite set control signal, the average model of the PV system is analytically calculated and subsequently the model is linearized around MPP. Designing an MPC with continuous control set, its performance respect to finite control set MPC is compared. The simulations demonstrate that the proposed controller with augmented integrator could track the MPP faster and with less steady state error.

Cites

No record.

References

No record.

Cite

APA: Copy

Dehghanzadeh, ahmad, Farahani, Gholamreza, & Maboodi, Mohsen. (2018). Maximum Power Point Tracking of a Photovoltaic System Using Modified Incremental Algorithm and Model Predictive Control. JOURNAL OF CONTROL, 12(2 ), 67-75. SID. https://sid.ir/paper/120876/en

Vancouver: Copy

Dehghanzadeh ahmad, Farahani Gholamreza, Maboodi Mohsen. Maximum Power Point Tracking of a Photovoltaic System Using Modified Incremental Algorithm and Model Predictive Control. JOURNAL OF CONTROL[Internet]. 2018;12(2 ):67-75. Available from: https://sid.ir/paper/120876/en

IEEE: Copy

ahmad Dehghanzadeh, Gholamreza Farahani, and Mohsen Maboodi, “Maximum Power Point Tracking of a Photovoltaic System Using Modified Incremental Algorithm and Model Predictive Control,” JOURNAL OF CONTROL, vol. 12, no. 2 , pp. 67–75, 2018, [Online]. Available: https://sid.ir/paper/120876/en

Related Journal Papers