چکیده مقاله
Photovoltaic PV systems exhibit nonlinear current voltage characteristics that vary significantly with irradiance and temperature, making conventional Maximum Power Point Tracking MPPT techniques such as Perturb & Observe P&O and Incremental Conductance IncCond prone to oscillation around the Maximum Power Point MPP , slow convergence, and complete failure under partial shading or rapidly changing atmospheric conditions This paper proposes an improved Particle Swarm Optimization PSO based MPPT algorithm specifically tailored for real world dynamic environments The algorithm incorporates adaptive inertia weight, velocity clamping, and a re initialization mechanism triggered by sudden irradiance changes to prevent the swarm from getting trapped in local optima during partial shading Extensive simulation results using MATLAB/Simulink and experimental validation on a 3 kW grid connected PV array demonstrate that the proposed PSO MPPT achieves tracking efficiency
کلیدواژهها
نویسندگان
Mehran Derakhshannia
Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
Ramin Derakhshannia
Employee of Khuzestan Water and Power Authority KWPA , Ahvaz, Iran
شیوه ارجاع
Derakhshannia, Mehran and Derakhshannia, Ramin,1404,Maximum Power Point Tracking in Photovoltaic Systems Using Particle Swarm Optimization Under Dynamic Environmental Conditions,5th international conference on engineering and information technology
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی و فناوری اطلاعات30 آبان 1404