双目标优化，最大化两级单相并网系统中的光伏输出功率,Energy Technology
发布时间：2024-03-12 11:55:35
Dual-Objective Optimization for Maximizing Photovoltaic Output Power in a Two-Stage Single-Phase Grid-Tied System
The effective utilization of photovoltaic systems (PVS) is significantly affected by partial shading (PS). Although total cross-tied topology minimizes the power loss, the partial shading condition (PSC) decreases the output power generation and exhibits multiple power peaks in the Power Voltage?characteristics. To address this issue, a dual-objective optimization technique based on reduced search space equilibrium optimization (RSS-EO) for a single-phase, two-stage grid-connected PVS, is presented. The proposed technique accomplishes two objectives 1) maximizing power generation by reconfiguring the PV modules using a switching matrix based on irradiance equalization and 2) extracting the global maximum power (GMP) with faster convergence, negligible steady-state oscillations, and reduced steady-state error. The simulation and experimental results validate the effectiveness of the proposed RSS-EO technique in efficiently distributing shade over the entire PV array and tracking GMP. The power enhancements achieved by RSS-EO, particle swarm optimization, and Munkres are 23.03%, 20.02%, and 19.01%, respectively. Additionally, the proposed method exhibits an average mismatch power loss of 738?W, a fill factor of 58.1%, and a percentage power loss of 26.83%. Furthermore, the proposed algorithm is evaluated based on energy calculations and shows better performance by achieving the shortest payback period of 1.6?years.
