تحليل مقارن للأداء الديناميكي لخوارزميتي التحكم الضبابي والاضطراب والملاحظة في أنظمة الطاقة الكهروضوئية

Abstract

Maximum Power Point Tracking (MPPT) algorithms attempt to maximize the output of photovoltaic cells․ The effectiveness of an MPPT mechanism is important when the operating point changes considerably due to solar irradiance changes․ Although the P&O algorithm is the most common MPPT algorithm‚ it has slow response and oscillations․ In this paper‚ a detailed comparison between the P&O and FLC algorithms is made in a single MATLAB/Simulink environment․ The performance was quantified in terms of efficiency‚ settling time‚ oscillation‚ and transient power loss at the different radiation levels of 200-1000 W/m²․ The FLC algorithm had an efficiency of 98% (much higher than the P&O algorithm) and had over 60% lower settling time and over 60% lower oscillation․ The transient power loss was also considerably less than that of the P&O algorithm․ This shows the potential for a more stable and efficient dynamic response when applying fuzzy control methods for the control of photovoltaic (PV) systems.