Takagi–Sugeno fuzzy-based incremental conductance algorithm for maximum power point tracking of a photovoltaic generating system

• Published in: IET renewable power generation Vol. 8; no. 8; pp. 900 - 914
• Main Authors: Sekhar, Perumalla Chandra, Mishra, Sukumar
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.11.2014
• Subjects: Adaptive algorithms; adaptive incremental conductance algorithm; adaptive tracking algorithm; Algorithms; fuzzy control; fuzzy controller; Incremental conductance; Irradiation; Maximum power; maximum power point trackers; maximum power point tracking; P&O algorithm; partial shading condition; perturb‐observe algorithm; Photovoltaic cells; photovoltaic generating system; photovoltaic power systems; power generation control; PV generating system; Solar cells; solar irradiations; sunlight; Takagi‐Sugeno fuzzy implications; Takagi‐Sugeno fuzzy‐based incremental conductance algorithm; Tracking; perturb-observe algorithm; PV generating system; adaptive incremental conductance algorithm; photovoltaic power systems; power generation control; fuzzy controller; adaptive tracking algorithm; P&O algorithm; solar irradiations; fuzzy control; maximum power point trackers; sunlight; Takagi-Sugeno fuzzy implications; maximum power point tracking; Takagi-Sugeno fuzzy-based incremental conductance algorithm; photovoltaic generating system; partial shading condition
• ISSN: 1752-1416; 1752-1424; 1752-1424
• DOI: 10.1049/iet-rpg.2013.0219

Sluggish tracking for change in solar irradiations is the main demerit of the perturb and observe (P&O) algorithm because of its fixed perturb. To overcome this, an adaptive tracking algorithm based on Takagi–Sugeno fuzzy implications is proposed in this study. Input to the fuzzy controller is the error between conductance and incremental conductance which is otherwise zero at the maximum power point. The P&O algorithm and the proposed algorithm along with the recently published adaptive incremental conductance algorithm are examined for their performance efficacy on a photovoltaic (PV) generating system with fabricated as well as real irradiation data. As a case study, all the considered algorithms are validated under partial shading conditions also. The effectiveness of the proposed algorithm is verified for the tracking of the maximum power point of a PV system in steady as well as changing irradiations and the conclusions are supported through some experimental validations.