LAPSE:2018.0759
Published Article
LAPSE:2018.0759
Optimal Allocation of Thermal-Electric Decoupling Systems Based on the National Economy by an Improved Conjugate Gradient Method
Shuang Rong, Weixing Li, Zhimin Li, Yong Sun, Taiyi Zheng
October 23, 2018
Aiming to relieve the large amount of wind power curtailment during the heating period in the North China region, a thermal-electric decoupling (TED) approach is proposed to both bring down the constraint of forced power output of combined heat and power plants and increase the electric load level during valley load times that assist the power grid in consuming more wind power. The operating principles of the thermal-electric decoupling approach is described, the mathematical model of its profits is developed, the constraint conditions of its operation are listed, also, an improved parallel conjugate gradient is utilized to bypass the saddle problem and accelerate the optimal speed. Numerical simulations are implemented and reveal an optimal allocation of TED which with a rated power of 280 MW and 185 MWh heat storage capacity are possible. This allocation of TED could bring approximately 16.9 billion Yuan of economic profit and consume more than 80% of the surplus wind energy which would be curtailed without the participation of TED. The results in this article verify the effectiveness of this method that could provide a referential guidance for thermal-electric decoupling system allocation in practice.
Keywords
combine heat and power, improved parallel conjugate gradient, thermal-electric decoupling, wind power curtailment
Suggested Citation
Rong S, Li W, Li Z, Sun Y, Zheng T. Optimal Allocation of Thermal-Electric Decoupling Systems Based on the National Economy by an Improved Conjugate Gradient Method. (2018). LAPSE:2018.0759
Author Affiliations
Rong S: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Li W: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Li Z: Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001, China
Sun Y: State Grid Jilinsheng Electric Power Supply Company, Changchun 130021, China
Zheng T: State Grid Jilinsheng Electric Power Supply Company, Changchun 130021, China
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Journal Name
Energies
Volume
9
Issue
1
Article Number
E17
Year
2015
Publication Date
2015-12-29
Published Version
ISSN
1996-1073
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PII: en9010017, Publication Type: Journal Article
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LAPSE:2018.0759
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doi:10.3390/en9010017
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Oct 23, 2018
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Oct 23, 2018
 
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Calvin Tsay
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