DocumentCode :
2603214
Title :
MPPT control of photovoltaic system based on hybrid modeling and its simulation
Author :
Youjie, Ma ; Deshu, Cheng ; Xuesong, Zhou ; Runrui, Guo
Author_Institution :
State Lab. of Power Syst., Tianjin Univ. of Technol., Tianjin, China
fYear :
2009
fDate :
6-7 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
Photovoltaic (PV) system is composed of several elements as solar array, boost converter, inverter and load. The solar array should be integrated with a dc-dc converter and a control algorithm to perform a search to track the maximum power continuously. We adopt perturbation and observation method to implement Maximum Power Point Tracking (MPPT) for solar cells. Owing to the existence of converters, photovoltaic system is a hybrid system contains continuous dynamic and discrete dynamic. Traditionally, the power electronic converter is difficult to model. This paper illustrates the modeling method of hybrid system, especially finite automata model. Based on Finite State Machine (FSM), the hybrid modeling of boost converter is presented. Finally, provides a simulation environment for such combination between continuous time system and finite automata, which employs the simulink and stateflow from Matlab.
Keywords :
DC-DC power convertors; finite state machines; photovoltaic power systems; power system control; power system simulation; solar cells; Matlab; boost converter; dc-dc converter; finite automata; finite state machine; maximum power point tracking control; photovoltaic system; power electronic converter; simulink; solar array; solar cells; Automata; Control system synthesis; DC-DC power converters; Inverters; Mathematical model; Photovoltaic cells; Photovoltaic systems; Power electronics; Power system modeling; Solar power generation; Photovoltaic; boost converter; finite state machine (FSM); hybrid model; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4934-7
Type :
conf
DOI :
10.1109/SUPERGEN.2009.5348212
Filename :
5348212
Link To Document :
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