DocumentCode :
644052
Title :
Analysis and Modeling on Long-Term Generation Resources Optimization
Author :
Yaxian Zheng ; Xian Zhang
Author_Institution :
Inst. of Electr. Power Autom., Electr. Power Res. Inst. of China, Nanjing, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
207
Lastpage :
211
Abstract :
The mathematical model on a long-term generation resources optimization that has complex constraints are established, which include physical constraints of generating equipment, operational constraints formed with resource constraints, operation constraints, network constraints, environmental constraints, unit commitment and energy consumption of real time generation are also considered in the model. Considering that time sequence constraints and continuous constraints are coexisted in the model, independent constraints and combined constraints based on optimization variables are coexisted in the model, discrete and continuous variables are also coexisted in the model, equivalent sampling method based on optimal period are submitted to achieve the equivalent simplification on long-term time series curve, reduce the dimension of optimization model, and ultimately improve the computing efficiency. Load rate is introduced to achieve the conversion between the power and electrical energy, and realize the mixed optimization of power and electrical energy.
Keywords :
energy consumption; mathematical programming; power grids; sampling methods; continuous variables; discrete variables; electrical energy; energy consumption; environmental constraints; equivalent sampling method; generating equipment physical constraints; long-term generation resource optimization; long-term time series curve; mathematical model; network constraints; operation constraints; operational constraints; optimization variables; power grid operation; resource constraints; unit commitment; Computational modeling; Load modeling; Mathematical model; Optimization; Power grids; Security; Carbon emission; Generation resources optimization; Large-term; Mixed optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling Symposium (AMS), 2013 7th Asia
Conference_Location :
Hong Kong
Type :
conf
DOI :
10.1109/AMS.2013.37
Filename :
6664694
Link To Document :
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