Advanced Control Strategies for Photovoltaic Power Quality and Maximum Power Point Tracking Optimization

This paper introduces an innovative Expectation-Conjugate-Gradient (ECG) approach designed for the management of the interfacing inverter in a grid-connected Photovoltaic (PV) system. The focus of this algorithm is to address current harmonics issues and elevate power quality. Additionally, the proposed control strategy integrates with an Enhanced Dual second-order generalized integrator phase-locked loop (EDSOGI-PLL), enhanced with a Savitzky-Golay Filter (SGF) to achieve grid synchronization, mitigate voltage harmonics, and estimate symmetrical components during unbalanced grid conditions. The state-of-art Double deep Q-network (DDQN) maximum power point tracking algorithm is introduced, integrating centralized start-up condition computation to stabilize voltage levels at the shared DC-link bus terminal. Key benefits include reduced harmonics.

Keywords: Expectation-conjugate-gradient, double deep q-network, bifacial photovoltaic system, power quality, maximum power point tracking, total harmonic distortion.