DocumentCode :
582709
Title :
Smart scheduling of power system under energy saving policy and renewable energy integration
Author :
Wei, Wei ; Shengwei, Mei ; Feng, Liu ; Liang, Chen
Author_Institution :
Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
25-27 July 2012
Firstpage :
6809
Lastpage :
6814
Abstract :
Establishing a safe, energy-saving and economical generation scheduling system is the key content to construction and realization of the smart grid. For the implementation of energy-saving and emission reduction policy in China, the government agency launched the Generation Sequence Table (GST) for power grid corporations. It was required that the renewable energy should be dispatched with highest priority; other thermal plants be scheduled according to the GST. This paper analyzes the drawback of existing energy-saving dispatching methods, and proposes a mixed integer linear programming model for scheduling of the smart grid under energy saving policy and renewable energy integration. The pumped storage unit is also considered in our model in order to deal with the intermittency and the anti peak regulation property of wind power generation. This method takes great advantages in computational efficiency and implementing the GST effectively. The IEEE 39-bus system is analyzed to exhibit the effectiveness of the proposed approach.
Keywords :
energy conservation; integer programming; linear programming; power generation dispatch; power generation scheduling; pumped-storage power stations; smart power grids; thermal power stations; wind power plants; China; GST; IEEE 39-bus system; economical generation scheduling system; emission reduction policy; energy saving policy; energy-saving dispatching method; generation sequence table; mixed integer linear programming model; power grid corporations; pumped storage unit; renewable energy integration; smart grid scheduling; thermal plants; wind power generation; Computational modeling; Educational institutions; Electronic mail; Renewable energy resources; Scheduling; Smart grids; Energy saving and emissions reducing; Smart grid scheduling; Unit Commitment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
ISSN :
1934-1768
Print_ISBN :
978-1-4673-2581-3
Type :
conf
Filename :
6391138
Link To Document :
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