محمدحسن گندمي

Abstract In this research, a novel hybrid photovoltaic (PV) system is designed an‎d simulated with the aim of improving maximum power extraction an‎d increasing dynamic stability. The proposed structure is based on two intelligent controllers that jointly optimize system performance. In the first step, a Backstepping controller is employed for maximum power point tracking (MPPT). Relying on the nonlinear system model an‎d utilizing step by step design principles, this controller adjusts the output voltage an‎d current of the PV module so that the maximum power is extracted under varying irradiation an‎d ambient temperature conditions. In the second step, a Superconducting Magnetic Energy Storage (SMES) system is added to the structure to improve power stability an‎d reduce output voltage fluctuations. The control of power injection/absorption from the SMES is performed by an adaptive fuzzy controller that adjusts the PID controller coefficients in real time. Based on voltage error an‎d its rate of change, this fuzzy controller generates optimal values for the proportional, integral an‎d derivative gains, thus regulating the SMES injected power so that output voltage an‎d power fluctuations are reduced an‎d overall stability is improved. The results show that the combined use of the Backstepping controller for maximum power tracking an‎d the fuzzy controller for adaptive PID tuning in the presence of the SMES enhances power quality an‎d dynamic stability under transient conditions, reduces power ripple an‎d improves output voltage stability. Compared with conventional MPPT methods an‎d classical PID control, the proposed approach exhibits faster response, lower steady state error an‎d better dynamic stability. This structure can be used as an effective energy management strategy for hybrid photovoltaic systems an‎d microgrids. Keywords: Photovoltaic, Superconducting Magnetic Energy Storage (SMES), adaptive fuzzy PID controller.

فتوولتاييك , سيستم ذخيره‌ساز انرژي مغناطيسي ابررسانا , كنترل‌كننده فازي تطبيقي

Photovoltaic , Superconducting Magnetic Energy Storage (SMES) , adaptive fuzzy PID controller.

MohammadHasan Gandomi

Dr.Hossein Heydari