Generation Resource Planning Optimization Model under Emission Constraint

Abstract:

As a large energy consumption and pollutants emission department, power industry energy saving and emission reduction is of great significance for the community's overall energy consumption and pollutants emission control. As the main energy saving measures of the power industry, optimize the structure of power based on grid-connected renewable energy. Therefore, this article is based on energy distribution in China, considering load, electricity, resources, environmental pollution and the unit served, target is the total system power generation installed capacity and pollutant emissions at minimum costs, to construct generation resource planning optimization model under emission constraint, install generation capacity costs, running costs and the cost of pollutant emissions will be take into account, in order to make reasonable recommendations on power resource planning in China.

• Periodical: Advanced Materials Research (Volume 772)
• Pages: 868-871
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.772.868
• Online since: September 2013
• Authors: Sun Lei, Zhong Fu Tan, Li Wei Ju, He Yin, Zhi Hong Chen
• Keywords: Emission Constraints, Emission Reduction, Energy Saving, Generation Resources, Planning

References

[1] ShangJincheng, ZhangLiqing. Research and Application of Technologies in Energy-Saving, Emission-Reducing and Optimal Resource Allocation of Electric Power System. [J]. Power System Technology, 2007, 31(22): 58-63.

[2] Shang Jincheng. Research on Economic Compensation Mechanism for Energy-saving Generation Dispatch Part One Design and Analysis of Economic Compensation Mechanism Based on Administrative Means [J]. Automation of Electric Power Systems, 2009, 33(2): 44-48.

[3] Shang Jincheng. Research on Economic Compensation Mechanism for Energy-saving Generation Dispatch Part Two Design and Analysis of Economic Compensation Mechanism Based on Market Mechanism [J]. Automation of Electric Power Systems, 2009, 33(3): 46-50.

[4] Kang Chongqing, Xiang Niande, Xia Qing. An Introduction to Integrated Resource Planning and Its Hot Topics [J]. Power System Technology, 1997, 21(04): 20-24.

[5] Zhong Suliang. Methodological Research on Electric Power Planning Based on Least Cost of the Whole Society [D]. North China Electric Power University, (2008).

[6] Zeng Ming, Zhang Yanfu. A Linear Programming on Resource Combination Optimization Based on Integrated Resources Planning [J]. Automation of Electric Power Systems, 2007, 31(3): 24-28.