Abstract
Increased interconnection of stochastic renewable distributed generators (DGs) with low voltage distribution networks arises challenging issues in voltage regulation, protection, stability and power quality of the system. Due to nonlinear nature of DG generations and dynamic load demands, voltage at point of common coupling (PCC) of grid-tied renewable energy system (RES) varies all the time and may exceed the allowable voltage limit. A novel Adaptive Neuro-Fuzzy Inference System (ANFIS) control strategy has been proposed and assessed in this paper while implemented on grid interfacing inverter for regulating PCC voltage under any nonlinear and fluctuating operating conditions. Performance of the proposed ANFIS-based voltage regulation scheme has been evaluated in several case studies with versatile operating conditions like minimal RES generation or excess RES generation comparing to dynamic load demands, sudden voltage fluctuations at point of common coupling etc. The proposed ANFIS-based control strategy is developed and simulated in MATLAB/ Simulink environment and its dynamic performance is compared with conventional PID control schemes.
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