Title :
A study on load dispatch among thermal power units based on Genetic Algorithm
Author :
Wei Wu ; Sheng Zhong ; Biyuan Yao
Author_Institution :
Coll. of Inf. Sci. & Technol., Hainan Univ., Haikou, China
Abstract :
This paper presents a Genetic Algorithm optimizing solution (GA) for thermal power units. Based on determined load demand data (equal to output of the whole power plant) and coal consumption model, we utilize GA method to compute its minimum consumption. The simulation proves the algorithm used to solve operational problems is effective and fast convergence to the best region. At last, we try to provide other parallel tools which also can be used to solve this problem for a comparison.
Keywords :
genetic algorithms; load dispatching; thermal power stations; GA method; coal consumption model; genetic algorithm; load demand data; load dispatch; operational problems; parallel tools; power plant; thermal power units; Biological cells; Coal; Economics; Educational institutions; Genetic algorithms; Optimization; Power generation; Genetic Algorithm; optimizing operation; thermal power units;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
DOI :
10.1109/CECNet.2013.6703270
