A Novel Hybrid Maximum Power Point Tracking Technique for PV System under Complex Partial Shading Conditions in Campus Microgrid

Solar generation has become increasingly important in grid applications. In order to improve the energy efficiency of photovoltaic array (PV), factors such as temperature, nonlinear characteristics, and partial shadow conditions (PSCs) PV must be fully considered. An excellent maximum power point tracking (MPPT) control strategy can effectively utilization cells provide strong support for construction smart campuses terms environmental protection saving. A traditional method Perturb & Observe (P&O) incremental conductance (INC) will fall into local (LMPP). past decade, researchers have proposed many MPPT methods solve difficulties system. However, they failed consider dynamic changes irradiance conditions. Changes arrays lead an extension convergence time increase oscillation amplitude. Many current shortcomings requiring a long time, large amplitude, being prone falling LMPP. reduce amplitude speed, novel Multi-strategy Improved Tuna Swarm Optimization hybrid INC (ITSO-INC) is introduced this article. This involves improving (TSO) through Levy Flight linear weight coefficient. addition, added later stage accuracy tracking. The algorithm extract global under different shading. verify effectiveness method, was compared with other metaheuristic algorithms Cuckoo Search (CS) TSO. ITSO-INC technique tested over four patterns shading Modulation performed by sudden change pattern MPP. These simulation results confirm that fast convergence, high accuracy, zero steady state oscillation, rapid response change.