Improved Differential Evolution-Based MPPT Algorithm Using SEPIC for PV Systems Under Partial Shading Conditions and Load Variation
Document Type
Article
Publication Date
1-1-2018
Abstract
Photovoltaic arrays subject to partial shading conditions have more than one maximum power point (MPP), and conventional algorithms are unable to track the global maximum power point (GMPP) accurately. Thus, an improved global search space differential evolution algorithm for tracking the GMPP is introduced in this paper. The main contribution of the proposed algorithm are the following: capability in tracking GMPP and faster respond against load variation; optimization algorithm can search for the GMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm. The proposed system is first simulated in PSIM to ensure its capability. The feasibility of the approach is validated through physical implementation and experimentation. Results demonstrate that the proposed algorithm has the capability to track the GMPP within 2 s with an accuracy of 99% and respond to load variation within 0.1 s.
Keywords
DC-DC converter, Differential evolution, maximum power point tracking (MPPT), partial shading, photovoltaic (PV) array system, single-ended primary-inductor converter
Divisions
fsktm,fac_eng
Funders
UMRG Project RP043C-17AET,PPP Grant PG133-2015B
Publication Title
IEEE Transactions on Industrial Informatics
Volume
14
Issue
10
Publisher
Institute of Electrical and Electronics Engineers