Modified affine projection sign algorithm for power quality enhancement and metaheuristic-based MPPT in grid-interactive solar PV system: an experimental analysis
摘要
The integration of large amounts of small-scale distributed energy resources such as solar photovoltaics complicated the stability and quality issues in the existing electrical power system. For an electric grid to be sustainable, grid-integrated solar photovoltaic power-generation conversion systems (SPCS) must provide ancillary services including improving power quality, capturing actual power, and maintaining high conversion efficiency. This paper proposes a combine affine projection sign (CAPS) algorithm for performing power quality (PQ) ancillary services in a grid-interactive SPCS. The principle objective of the proposed method is to provide steady and reliable operation while mitigating the impact of power quality issues. The proposed CAPS algorithm efficiently extracts the active and non-active harmonic free fundamental weight components of the contaminated grid/load currents. These weights enhance reference signal estimation accuracy and provide switching signals for the grid-solar PV integrating voltage source inverter. Furthermore, the characteristics of the solar PV strings exhibit many peaks when exposed to non-uniform irradiation making it difficult to track the global peak power. Therefore, a metaheuristic JAYA-based maximum power point tracking algorithm is proposed to overcome this problem. This algorithm offers an extremely fast dynamic response with high accuracy and minimal noise in the steady state in contrast to conventional methods, especially under partial shading conditions. The experimental validation is carried out, and results support the effectiveness of the proposed algorithms for enhancing PQ functionality under varying scenarios. Additionally, implementing the proposed CAPS controller significantly reduces the harmonic contamination of the grid current, from 23.5