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Multi-objective generators commitment model of power system for energy conservation and emission reduction

DING Linjun;CHEN Jinghua;GUO Zhuangzhi;LIANG Lili;Li Jinbei;School of Automation, Guangdong University of Technology;School of Electrical Information Engineering , Henan University of Engineering;  
Aiming at the energy conservation and emission reduction problem of generation unit in power system,by establishing the relationship between continuous variables and discrete variables and using complementarity constraints and optimization extreme value theory,builds a complementarity constraint optimization model of multi- objective unit commitment in power system,and introduces entropy weight method to make multi- objective decision,adopts the original dual interior point method to validate.The simulation results show that:(1) The multi-objective generators commitment model with the optimization aim for coal consumption of coal- fired generators and the emission capacity of pollutant gas CO_2 and SO_2 meet the practical engineering requirements.(2) Using fuzzy entropy weight to make multi-objective decision can realize the conversion and mutual coordination between the energy saving and emission aims of CO_2 and SO_2,effectively reduce both the coal consumption of coal-fired generators and the total emission amounts of CO_2 and SO_2.
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