MPPT using novel FLC based MPO for photovoltaic system

Abstract

In this paper introduces a novel Fuzzy Logic Controller (FLC) as a Maximum Power Extracting (MPE) of photovoltaic standalone system is proposed, which can handle the uncertainties of the rules under high deviations in climate conditions. Conventional Perturb and Observe (P & O), hill-climbing MPE structures are examined. The MPE employed boost converter controller. The new controller improves P & O based maximum power tracker search method by rules fuzzifying of such method and eliminates the conventional drawback. A new FLC based improved P & O offers an accurate and fast converging to MPE during steady state and changing climatic situation compared to existing P & O and hill climbing method. The performance of the designed MPE is demonstrated in simulation MATLAB at dissimilar operating circumstances.

Implementation of modified P&O and an adaptive fuzzy logic controller based MPPT tracking system under partial shading and variable environmental conditions

“…In other words, it can mimic the human intellect using linguistic interpretations [34][35][36]. Figure 6 shows the flowchart for the conventional FLC approach comprising of three steps: fuzzification, inference, and defuzzification [37]. The steps of FLC analysis are as follows [38]: Step 1: The cell voltage and current as fed as input to the fuzzification block and the error and the change in error computed by this process are used for the conversion of the crisp value to fuzzy value.…”

Analysis of various strategies for effective household energy conservation

“…One of the prime energy consumer is Industry, that's why government taking strict actions to reduce the power wastage from industry. [1][2][3][4][5][6][7][8][9] The second major factor is safety, particularly the electrical safety places the vital role. Due to the power leakage not only affect the life of human being, instrument and also power wastage of the unit.…”