Title :
Sine-roulette genetic algorithm applied in optimization operation of Qing River cascade hydropower system considering TOU power price
Author :
Zheng, Jiao ; Yang, Kan
Author_Institution :
Coll. of Hydrol. & Water Resources, Hohai Univ., Nanjing, China
Abstract :
This paper presents the short-term joint optimal simulation operation simulation method for Qing River cascade hydropower system, which considering on time-of-use (TOU) power price and pursing maximum power generation benefit. In this method, the temporal-spatial variation of flow between cascade hydropower stations is considered. Correlation analysis is used for calibrating the measured data between hydropower stations, and an equation of linear regression is determined for dealing with the calculation of the temporal-spatial variation of flow. Furthermore, improved AGA with Sine-roulette wheel selection operator is found application in the simulation, which adopts trigonometric function to make a non-linear conversion to fitness in order to keep the diversity of population in the selection process and avoid premature of AGA. To a certain degree, the results of simulative optimal operation based on several representative hydrographs show that the improved AGA can find a more excellent solution in the same algebra.
Keywords :
correlation methods; genetic algorithms; hydroelectric power stations; power generation economics; pricing; regression analysis; Qing River cascade hydropower system; TOU power price; cascade hydropower stations; correlation analysis; linear regression equation; maximum power generation benefit pursing; operation simulation method; optimization operation; short-term joint optimal simulation; sine-roulette genetic algorithm; temporal-spatial variation; time-of-use power price; trigonometric function; Equations; Genetic algorithms; Hydroelectric power generation; Mathematical model; Rivers; Wheels; TOU power price; maximum generation benefit; selection operator; sine function; the temporal-spatial variation of flow;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6009641