Mayfly Optimization Algorithm for MPPT of PV System under Partial Shading Conditions

Abstract

Maximum power point tracking (MPPT)methods are most popular to harvest maximum energy from renewable energy sources for generating electric power. Among many renewable energy sources, solar energy is a primary and mostly available on the earth. Generally photovoltaic (PV) panel are arranging in a proper sequence to produce required electric power. Many conventional MPPT algorithms are available on PV system but working on uniform irradiances. Partial shading is a common phenomenon on PV systems. During partial shading conditions, conventional MPPT algorithms will fail to exhibits its best performance due to occurrence of many local peak powers. Hence, an efficient optimization method must be incorporated to identify global maximum power point among all possible points. Mayfly optimization is one of the best in existing optimization methods. However, perturb and observe (P&O) method must be incorporate with Mayfly technique to produce the best performance under both uniform irradiances and partial shading condition. A boost converter is used as a MPPT device in this paper due to its merits over other converters. Extensive results are carried out on OPAL-RT platform by establishing Hardware – in the – Loop (HIL) to validate the proposed method.

Keywords

• mppt
• partial shading
• mayfly algorithm
• pv
• hil