Title :
Hydrothermal Short-Term Optimal Scheduling in the Low-Carbon Economy
Author :
Zhang Zhan-an ; Cai Xing-guo
Author_Institution :
Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol., Harbin, China
Abstract :
The aim of Low-carbon economy is to decrease the emissions of CO2.The CO2 that let out by the thermal power system takes a considerable part. Hydrothermal power dominant in the power source in China,so it has an important meaning to research optimal dispatching of hydrothermal system. The problem of short-term scheduling of hydrothermal power system optimization is a complex, non-convex, nonlinear problem.lt is solved by genetic algorithm in this paper , which takes water volume, water inflow, water discharge, effective water head, and output of power into account. A model is proposed considering both maximum generation benefit and minimum CO2 emissions. Finally, through the simulation of a true hydrothermal system, the analysis results of the example show that the model and genetic algorithm are available and effective.
Keywords :
air pollution control; genetic algorithms; hydrothermal power systems; power generation dispatch; power generation scheduling; carbon dioxide emissions; effective water head; genetic algorithm; hydrothermal power system optimization; hydrothermal short-term optimal scheduling; low-carbon economy; optimal dispatching; water discharge; water inflow; water volume; Analytical models; Automation; Dispatching; Genetic algorithms; Job shop scheduling; Optimal scheduling; Power generation; Power generation economics; Power system modeling; Standards publication;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4812-8
Electronic_ISBN :
978-1-4244-4813-5
DOI :
10.1109/APPEEC.2010.5448816