DocumentCode
165103
Title
Global maximum power point tracking of PV system using dynamic population size differential evolution (DynNP-DE) algorithm
Author
Tajuddin, M.F.N. ; Ayob, S.M. ; Salam, Z.
Author_Institution
Sch. of Electr. Syst. Eng., Univ. Malaysia Perlis (UniMAP), Kuala Perlis, Malaysia
fYear
2014
fDate
13-14 Oct. 2014
Firstpage
254
Lastpage
259
Abstract
In this paper, a population-based direct global optimization technique called Dynamic Population Size Differential Evolution (DynNP-DE) to deal with partial shading occurrence is proposed. In this proposed technique, the size of the population is significantly reduced without compromising the robustness of the original DE algorithm. To evaluate the effectiveness of the proposed MPPT technique, the algorithm is implemented on a boost converter and validated through several partial-shading patterns. Simulation results show that the proposed modification yields faster convergence and capable to handle partial shading conditions.
Keywords
maximum power point trackers; optimisation; photovoltaic power systems; DynNP-DE algorithm; MPPT technique; PV system; boost converter; direct global optimization technique; dynamic population size differential evolution algorithm; global maximum power point tracking; partial shading conditions; photovoltaic system; Arrays; Heuristic algorithms; Maximum power point trackers; Optimization; Sociology; Statistics; Vectors; MPPT; differential evolution (DE); partial shading; photovoltaic (PV);
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conversion (CENCON), 2014 IEEE Conference on
Conference_Location
Johor Bahru
Type
conf
DOI
10.1109/CENCON.2014.6967511
Filename
6967511
Link To Document