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Modeling of Air and Fuel Combustion as Emission in Solving AGC Problem of an Isolated CCGT Plant

  • Debdeep Saha
  • , Plaban Bora
  • , Udayan Sarmah

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Since decades, optimum emission from a power plant has always been an intriguing topic for researchers all over the globe. Accordingly, the interest has driven to the effective combustion modeling which can be designed for optimum emission and design of control system. This paper presents an effective modeling of air and fuel combustion as emission for solving Automatic Generation Control (AGC) problem in Combined Cycle Gas Turbine Plant (CCGT) remotely located. The key inputs are air flow, fuel flow, and secondary controller. The key outputs are frequency and temperature deviation and emissions. A CCGT plant is evaluated with and without consideration of emission modeling to understand the change in system dynamics followed by sudden disturbances. Results infer that emission modeling reduces the frequency and temperature deviation. Further investigation is carried out with CCGT integrated with Wind turbine generator where introducing emission modeling further reduces the frequency and temperature deviation.

    Original languageEnglish
    Title of host publication2020 International Conference on Computational Performance Evaluation, ComPE 2020
    EditorsSudip Paul, Jitendra Kumar Verma
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages719-724
    Number of pages6
    ISBN (Electronic)9781728166445
    DOIs
    Publication statusPublished - 07-2020
    Event2020 International Conference on Computational Performance Evaluation, ComPE 2020 - Shillong, India
    Duration: 02-07-202004-07-2020

    Publication series

    Name2020 International Conference on Computational Performance Evaluation, ComPE 2020

    Conference

    Conference2020 International Conference on Computational Performance Evaluation, ComPE 2020
    Country/TerritoryIndia
    CityShillong
    Period02-07-2004-07-20

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence
    • Energy Engineering and Power Technology
    • Computational Mechanics
    • Electrical and Electronic Engineering
    • Safety, Risk, Reliability and Quality
    • Control and Optimization

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