Electric Power ›› 2020, Vol. 53 ›› Issue (5): 143-149.DOI: 10.11930/j.issn.1004-9649.201812016

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Optimization of Reheat Steam Temperature Control for Ultra-Supercritical Units under Deep Peak Shaving

DING Jianliang1, YU Guoqiang1, LUO Jianyu2   

  1. 1. Jiangsu Frontier Electric technology Co.,Ltd., Nanjing 211102, China;
    2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210009, China
  • Received:2018-12-05 Revised:2019-11-20 Published:2020-05-05
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Jiangsu Electric Power Co., Ltd. (Research on Key Technology and Safety of Rapid Coordination of Large-Shoulder Grid Source Network under UHV Transmission Conditions, No.J2017006)

Abstract: In view of the long time delay, large inertia and strong nonlinearity of the reheater outlet steam temperature in the process of deep peak shaving in thermal power plants, which makes the control less effective or hard to be put into service automatically, this paper proposes a humanoid intelligent control algorithm based on fuzzy switching. This method first optimizes the reheat steam temperature control system, and then uses the particle swarm optimization algorithm combined with the control experience to select the parameter settings. The simulation results show that the proposed method can enhance the robustness of the reheat steam temperature control system. In the actual operation of a 1 000 MW ultra-supercritical unit, satisfactory results have been achieved through this approach, which effectively improved the economic and security of the unit operation.

Key words: reheat steam temperature control, fuzzy switching, human simulation intelligent control, particle swarm optimization