Electric Power ›› 2017, Vol. 50 ›› Issue (8): 41-47.DOI: 10.11930/j.issn.1004-9649.2017.08.041.07

• Column of Instrument & Control • Previous Articles     Next Articles

Research on Pilot Scale Generalization Modeling Method for Power Supply Side Experiment of Power Grid Based on the Online Thermal Performance Data

MA Rui, HOU Qian, JIN Fei, YANG Chunlai, PENG Gang   

  1. State Grid Hebei Electric Power Research Institute, Hebei Electric Power Construction and Adjustment Experimental Institute, Shijiazhuang 050021, China
  • Received:2016-05-30 Online:2017-08-25 Published:2017-08-25

Abstract: Aiming at the defect that the current power plant mechanism simulation model cannot be applied to direct the actual production process, this paper proposes the thermal performance data enhanced incentive simulation modeling and third-order transfer function identification method, and develops a standard experimental platform for power supply side coordinated control production experiment. Starting with the integration of the online data and the simulation algorithm of the power plant unit, the enhanced validation and simulation platform is established which highly simulates the performance of the actual power plant. Through the mechanism model, the three order transfer function of response characteristics of the actual production process is determined with the parameters being optimized until the model precision meets the practical verification requirements. The simulation results show that the RUNBACK production experimental model established by this method can meet the precision requirements of actual production. The proximity of the response characteristics of the simulation model to the actual characteristics reaches 90% , which makes the simulation platform an ideal technical support platform that can truly serve the need for production experiment and conduct the predictive assessment on the effects of production experiment. With both generality and practicality, this method can provide a new way for unit simulation toward practical applications.

Key words: thermal power generation unit, enhanced excitation, mechanism model, differential evolution, parameter optimization

CLC Number: