Open AccessEnhancement of On-grid PV System under Irradiance and Temperature Variations Using New Optimized Adaptive Controller
Author(s) -
O.A. Omar,
Niveen Badra,
Mahmoud A. Attia
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i5.pp2650-2660
Subject(s) - maximum power point tracking , photovoltaic system , computer science , control theory (sociology) , maximum power principle , irradiance , electric power system , solar irradiance , grid , robustness (evolution) , power (physics) , engineering , mathematics , electrical engineering , artificial intelligence , voltage , biochemistry , physics , geometry , control (management) , chemistry , atmospheric sciences , quantum mechanics , inverter , geology , gene
Solar Energy is one of the key solutions to future electrical power generation. Photovoltaic Plants (PV) are fast growing to satisfy electrical power demand. Different maximum power point tracking techniques (MPPT) are used to maximize PV systems generated power. In this paper, on grid PV system model in MATLAB SIMULINK is tested under sudden irradiance and cell temperature variations. Incremental Conductance MPPT is used to maximize generated power from the PV system with the help of new adaptive controller to withstand these heavy disturbances. The new adaptive controller is tuned for optimal operation using two different optimization techniques (Invasive weed and Harmony search).Optimization results for the two techniques are compared. .A robustness test is made to check system stability to withstand different random irradiance and cell temperature patterns without failure to track the maximum power point.Finally, a brief comparison is made with a previous literature and the new adaptive controller gives better results.