TY - GEN
T1 - Modeling of Air and Fuel Combustion as Emission in Solving AGC Problem of an Isolated CCGT Plant
AU - Saha, Debdeep
AU - Bora, Plaban
AU - Sarmah, Udayan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85092723487
UR - https://www.scopus.com/inward/citedby.url?scp=85092723487&partnerID=8YFLogxK
U2 - 10.1109/ComPE49325.2020.9200069
DO - 10.1109/ComPE49325.2020.9200069
M3 - Conference contribution
AN - SCOPUS:85092723487
T3 - 2020 International Conference on Computational Performance Evaluation, ComPE 2020
SP - 719
EP - 724
BT - 2020 International Conference on Computational Performance Evaluation, ComPE 2020
A2 - Paul, Sudip
A2 - Verma, Jitendra Kumar
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computational Performance Evaluation, ComPE 2020
Y2 - 2 July 2020 through 4 July 2020
ER -