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Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique

K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival. Published in Circuits and Systems.

Communications on Applied Electronics
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: K. B. Zirata, A. S. Kadalla, I. T. Thuku, Angeti Jival

K B Zirata, A S Kadalla, I T Thuku and Angeti Jival. Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique. Communications on Applied Electronics 7(31):1-6, September 2019. BibTeX

	author = {K. B. Zirata and A. S. Kadalla and I. T. Thuku and Angeti Jival},
	title = {Maximum Power Point Tracking Control of Photovoltaic System using Fuzzy Logic Controller based on Incremental Conductance Technique},
	journal = {Communications on Applied Electronics},
	issue_date = {September 2019},
	volume = {7},
	number = {31},
	month = {Sep},
	year = {2019},
	issn = {2394-4714},
	pages = {1-6},
	numpages = {6},
	url = {},
	doi = {10.5120/cae2019652835},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


This paper focused on the design of Maximum Power Point Tracking (MPPT) for extracting maximum power from solar panel to improve the efficiency of the PV system by introducing maximum power point tracking techniques. Fuzzy Logic Control (FLC) algorithm was developed using the incremental conductance technique for MPPT. The simulated results reveal that the FLC has better performance which has suppressed the oscillation around the MPP than the Perturb and Observe (P and O) controller which has much oscillation around the MPP.


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MPPT, PV system, FLC, incond, P and O