Modelling of power plant dynamics and uncertainties for robust control synthesis

Chen Kuo Weng, Asok Ray, Xiaowen Dai

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

This paper presents modelling of plant dynamics and uncertainties as needed for robust control synthesis of electric power generation systems under wide-range operations. Based on the fundamental laws of physics and lumped-parameter approximation, a nonlinear time-invariant model is developed in the state-space setting for a fossil fueled generating unit having the rated load capacity of 525 MW. The modelling objective is to evaluate the overall plant performance and component interactions with sufficient accuracy for control synthesis rather than to describe the microscopic details occurring within individual components of the plant. Uncertainties in plant modelling, resulting from the conceivable sources, are then identified and quantified. These uncertainties and the desired plant performance specifications are, in turn, represented by appropriate transfer matrices in the setting of H-based structured singular value (μ). The results of simulation experiments demonstrate that a robust feedforward-feedback control policy satisfies the specified performance requirements of power ramp up and down in the range of 40-100% load under nominal conditions of load following operations.

Original languageEnglish (US)
Pages (from-to)501-512
Number of pages12
JournalApplied Mathematical Modelling
Volume20
Issue number7
DOIs
StatePublished - Jul 1996

All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Applied Mathematics

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