Research on Multi-objective Optimization Linear Programming Problem of Power Generation under Carbon Emission Trading

2018 4th International Conference on Renewable Energy Technologies

Wu, Guoying^1 ; Xu, Erfeng^3 ; Liu, Dunnan^3 ; He, Yingjing^2

State Grid Zhejiang Electricity Power Company, Hangzhou, ZHEJIANG

310007, China^1

State Grid Zhejiang Economic Research Institute, Hangzhou, ZHEJIANG

310018, China^2

North China Electric Power University, Changping District, Beijing

102206, China^3

关键词: Carbon emission trading;    Electricity industry;    Emission reduction;    Energy saving and emission reductions;    Energy-saving dispatching;    Linear programming models;    Linear programming problem;    Optimal allocation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/168/1/012008/pdf
DOI  :  10.1088/1755-1315/168/1/012008

来源: IOP

【 摘 要 】

Carbon emissions trading is an important means to achieve the target of low carbon and energy saving, the construction and promotion of which has been widely concerned in recent years. As carbon emitters, electricity industry is shouldering more pressure to reduce emissions and will definitely participate in carbon emissions trading. Energy saving dispatching is one of the most important ways to realize energy saving and emission reduction for electricity power companies. One kind of multi-objective optimization linear programming model for generating units under carbon emissions trading is constructed in this paper. The model is verified by a practical case analysis, which ensures the optimal allocation of power resources with multi-objective of Energy saving, emission reduction and economy, and sustainable development of electricity power companies.