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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
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • State Grid Jilinsheng Electric Power Supply Company

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number17
JournalEnergies
Volume9
Issue number1
DOIs
StatePublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Combine heat and power
  • Improved parallel conjugate gradient
  • Thermal-electric decoupling
  • Wind power curtailment

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