Research on the Unit Commitment of Thermal Power Plant Based on Genetic Algorithm

Abstract:

This paper, focusing on the practical moving condition of the thermal power plants, studied in detail that how to did the curve fitting according to the units data collected from Tianjin Dagang Power Plant; studied the each fuel loss in the process of start-stop the units and their calculation methods; and put forward that fuel consumption and life expenditure while starting and stopping the units should be considered when using peak-load regulation; worked out the GA program and proved GAs accuracy and superiority through the calculation examples, and showed that GA had great practical and research meaning.

• Periodical: Applied Mechanics and Materials (Volumes 416-417)
• Pages: 2110-2113
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.416-417.2110
• Online since: September 2013
• Authors: Xing Liu
• Keywords: Genetic Algorithm (GA), Start-Stop Loss, Unit Commitment

References

[1] Li Zhenglin. Optimal Load Scheduling System in Thermal Power Plant: [Master's degree thesis]. Beijing: North China Electric Power University(2003).

[2] Yu Erkang Modern economic dispatch. China Water Power Press(1986).

[3] Jong-Ryul Won, Young-Moon Park. Economic dispatch solutions with piecewise quadratic cost functions using improved genetic algorithm. Electic Poewr Systems Research, 25(2003), pp.355-361 Coal prices(yuan).

DOI: 10.1016/s0142-0615(02)00098-4

[4] Luo Jishou, Zhang Chuan. Optimal operation of power systems. Huazhong University of Science and Technology Press(1990).

[5] Fan Hong, Wei Hua. Improved Genetic Algorithm and Its Application in Unit Commitment Optimization. Proceedings of the Chinese Society of Universities for Electric Power Sysyem and Automation. 2004, (8), pp.46-49.

[6] Yang Lijun, Hou Guolian. Mathematical model of a new unit load allocation optimization. Modern Electric Power，1999, (11), pp.27-32.