Adaptive Dual Droop for Active Power-Frequency Control in Power System With Photovoltaic System

Abstract

As the penetration of photovoltaic systems (PVs) increases, the ability to control network frequency becomes limited. Traditional PV control typically relies on maximum power point tracking (MPPT); however, in MPPT mode, PVs cannot contribute to frequency control. By implementing droop control on PVs, it becomes feasible for them to participate in frequency regulation. This research introduces a dual droop control approach that focuses on both slow and fast frequency responses to ensure frequency stability and provide a fast response to frequency deviations. Additionally, an adaptive droop coefficient (ADC) is introduced via a fuzzy logic controller, which is incorporated into the dual droop control system to enhance its effectiveness. The ADC provides more flexibility for PVs by providing an appropriate coefficient based on frequency conditions during both fast and slow frequency responses. Additionally, the power from the PV systems is divided into two components: the usable maximum power point and the stored power. Suitable algorithms are presented to facilitate the participation of these two active power components in achieving power balance. This approach enables the control system to maintain active power balance in response to sudden changes for effective frequency control. The proposed control system is simulated in MATLAB/Simulink.