DocumentCode :
1694983
Title :
Research of maximum capacity of grid-connected photovoltaic power station based on the “box” set robust optimization
Author :
Wang Liang ; Zhou RenJun ; Huang LingZi
Author_Institution :
Dept. of Electr. & Informational Eng., Changsha Univ. of Sci. & Technol., Changsha, China
Volume :
1
fYear :
2011
Firstpage :
507
Lastpage :
511
Abstract :
For the random fluctuating and intermittent nature of photovoltaic (PV) power generation, an optimization model with robust optimization theory, which maximizes PV power station, is proposed. The uncertainty of the solar irradiance is expressed by cassette uncertainty set in which the solar irradiance as a random variable. The optimizing dual theory simplifies the model into linear programming model and the uncertainty quantity of the constraint conditions is converted into the form of certainty quantity, so that it is easy to solve. To validate the effectiveness and feasibility of the proposed model, by use of Matlab toolbox the optimal solution and simulation of IEEE 30-bus system are carried out. The calculation show that maximum capacity of PV power station is impacted significantly by different solar radiation intensity and different nodes connected to grid.
Keywords :
linear programming; photovoltaic power systems; power generation planning; IEEE 30-bus system; Matlab toolbox; box set robust optimization; cassette uncertainty; grid connected photovoltaic power station; linear programming model; maximum capacity; optimization model; photovoltaic power generation; robust optimization theory; solar irradiance uncertainty; uncertainty quantity; Fluctuations; Mathematical model; Optimization; Power generation; Power system stability; Robustness; Uncertainty; box set; maximum capacity; photovoltaic power; randomness; robust optimization; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
Type :
conf
DOI :
10.1109/APAP.2011.6180454
Filename :
6180454
Link To Document :
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