• C.SUMALATHA
• P.SHASHAVALI
• N.Rajesh Kumar Gowd
• M.Khaimulla

This paper develops a Maximum Power point Tracking (MPPT) algorithm for optimizing solar array performance that is robust to rapidly varying weather conditions. The power voltage characteristic of photovoltaic (PV) arrays operating under partial-shading conditions exhibits multiple local maximum power points (MPPs). In this paper, a new method to track the global MPP is presented, which is based on controlling a dc/dc converter connected at the PV array output, such that it behaves as a constant input-power load. The proposed method has the advantage that it can be applied in either standalone or grid-connected PV systems comprising PV arrays with unknown electrical characteristics and does not require knowledge about the PV modules configuration within the PV array. The simulation results verify that the proposed global MPP method guarantees convergence to the global MPP under any partial shading conditions. Here we are using the fuzzy controller compared to other controllers i.e. The fuzzy controller is the most suitable for the human decision making mechanism, providing the operation of an electronic system with decisions of experts. In addition, using the fuzzy controller for a nonlinear system allows for a reduction of time to track the GMMP in the system and improves the efficiency.

Extremum seeking control; GMPPT; photovoltaic system; Maximum power point tracking; partial shading condition; Fuzzy logic controller (FLC).

"FUZZY LOGIC CONTROLLER BASED-GLOBAL MAXIMUM POWER POINT TRACKING ALGORITHM FOR PV ARRAY UNDER PARTIAL SHADING CONDITIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.238-244, September-2018, Available :http://www.jetir.org/papers/JETIR1809831.pdf

"FUZZY LOGIC CONTROLLER BASED-GLOBAL MAXIMUM POWER POINT TRACKING ALGORITHM FOR PV ARRAY UNDER PARTIAL SHADING CONDITIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp238-244, September-2018, Available at : http://www.jetir.org/papers/JETIR1809831.pdf