DocumentCode :
527156
Title :
The utilities´ optimal reserve purchasing strategy under the energy-saving dispatching environment based on fuzzy probability theory
Author :
Jianqiang, An
Author_Institution :
Sch. of Econ. & Manage., North China Electr. Power Univ., Beijing, China
Volume :
3
fYear :
2010
fDate :
17-18 July 2010
Firstpage :
244
Lastpage :
247
Abstract :
China is going to realize clean power generation in the future, and introducing energy-saving dispatch is one of the important measures taken. Although this new dispatch model can generate great benefit for the society, the utility will bare increasing reserve purchasing costs. This paper dealt with the optimal reserve purchasing strategy for the utilities. The optimal energy purchase model under the energy-saving dispatch environment was constructed, and based on this the optimal reserve purchasing strategy model was constructed, in which the fuzzy probability theory was used to describe the fuzzy information about the power failure of the renewable power units. The final case study shows the energy-saving dispatch will indeed increase the reserve purchase costs for the electric power utilities, and the fuzzy probability theory can effectively deal with the fuzzy environment about the renewable power units.
Keywords :
electricity supply industry; energy conservation; environmental factors; fuzzy set theory; load dispatching; probability; purchasing; renewable energy sources; clean power generation; electric power utilities; energy saving dispatching environment; fuzzy probability theory; renewable power units; utilities optimal reserve purchasing strategy; Biological system modeling; Economics; Equations; Generators; Mathematical model; Oceans; Optimization; energy-saving dispatch; fuzzy probability; purchase stategy; reserve; utility;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
Type :
conf
DOI :
10.1109/ESIAT.2010.5568382
Filename :
5568382
Link To Document :
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