DocumentCode :
2814496
Title :
Novel Control Strategies Using Load Matching for Maximum Photovoltaic Energy Utilization
Author :
Altas, Ismail H. ; Sharaf, Adel M.
Author_Institution :
Karadeniz Tech. Univ., Trabzon
fYear :
2007
fDate :
22-26 April 2007
Firstpage :
1578
Lastpage :
1581
Abstract :
Photovoltaic PVA-solar powered electrical systems comprise different components and subsystems to be controlled separately. Since the generated solar power is dependant on uncontrollable environmental conditions, it requires extra caution to design robust tracking controllers that can handle unpredictable events to maintain dynamic source-load matching to ensure maximum power utilization at all times. In this paper, a photovoltaic (PV) solar array model is developed using Matlab/Simulink/Sim-Power GUI software environment and fully controlled using novel dynamic control strategies combining both classical PI controller and fuzzy logic controller (FLC) in a multi-loop error driven regulation. The novel multi-loop error driven FLC controller has a flexible design so that it can easily be modified and extended for controlling different dynamic systems such as Wind and Hybrid Schemes and proved very effective in stand alone Green Power utilization systems. The proposed Dual Multi Loop Control system is validated on a sample Study System Modelled using in Matlab/Simulink.
Keywords :
PI control; control system synthesis; fuzzy control; mathematics computing; photovoltaic power systems; power generation control; robust control; Matlab-Simulink-Sim-Power GUI software environment; PI controller; dual multiloop control system; environmental conditions; fuzzy logic controller; load matching; maximum photovoltaic energy utilization; multiloop error driven regulation; robust tracking controller design; solar array model; stand alone Green Power utilization systems; Control systems; Error correction; Graphical user interfaces; Logic arrays; Mathematical model; Photovoltaic systems; Power generation; Robust control; Solar energy; Solar power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2007. CCECE 2007. Canadian Conference on
Conference_Location :
Vancouver, BC
ISSN :
0840-7789
Print_ISBN :
1-4244-1020-7
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2007.393
Filename :
4233052
Link To Document :
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