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Abu-Seada, H., Slama, M., Hassan, M., Ebrahim, M. (2020). GREY WOLF OPTIMIZATION APPROACH-BASED EXHAUST TEMPERATURE CONTROL FOR GAS TURBINE POWER SYSTEM. JES. Journal of Engineering Sciences, 48(No 4), 596-612. doi: 10.21608/jesaun.2020.111121
Hany. F. S. Abu-Seada; Mohamed M.M. Slama; Mohamed A. M. Hassan; M. A. Ebrahim. "GREY WOLF OPTIMIZATION APPROACH-BASED EXHAUST TEMPERATURE CONTROL FOR GAS TURBINE POWER SYSTEM". JES. Journal of Engineering Sciences, 48, No 4, 2020, 596-612. doi: 10.21608/jesaun.2020.111121
Abu-Seada, H., Slama, M., Hassan, M., Ebrahim, M. (2020). 'GREY WOLF OPTIMIZATION APPROACH-BASED EXHAUST TEMPERATURE CONTROL FOR GAS TURBINE POWER SYSTEM', JES. Journal of Engineering Sciences, 48(No 4), pp. 596-612. doi: 10.21608/jesaun.2020.111121
Abu-Seada, H., Slama, M., Hassan, M., Ebrahim, M. GREY WOLF OPTIMIZATION APPROACH-BASED EXHAUST TEMPERATURE CONTROL FOR GAS TURBINE POWER SYSTEM. JES. Journal of Engineering Sciences, 2020; 48(No 4): 596-612. doi: 10.21608/jesaun.2020.111121

GREY WOLF OPTIMIZATION APPROACH-BASED EXHAUST TEMPERATURE CONTROL FOR GAS TURBINE POWER SYSTEM

Article 3, Volume 48, No 4, July and August 2020, Page 596-612  XML PDF (924.46 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2020.111121
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Authors
Hany. F. S. Abu-Seada email 1; Mohamed M.M. Slama2; Mohamed A. M. Hassan3; M. A. Ebrahim4
1Cairo North Power Station, Ministry of Electricity, Cairo, Egypt.
2Electrical Power Department, Faculty of Engineering, Benha University, Kaliobeya. Egypt.
3Electrical Power Department, Faculty of Engineering, Cairo University, Giza, Egypt
4Electrical Power Department, Faculty of Engineering, Benha University, Kaliobeya, Egypt
Abstract
Gas turbines are one of the most important power generation technologies in countries especially with natural gas resources. However, its complicated technology and the operation of which at peak performance is effective in power generation systems. This paper proposes the use of grey wolf optimization (GWO) approach in optimizing the proportional integral derivative (PID) controller parameters using MATLAB program to control the exhaust temperature of a gas turbine. The main aim is to keep on turbine operation behavior at optimum performance. The achieved results show the effectiveness of the proposed exhaust temperature controller based on the use of the Rowen's model, clearly approach for the gas turbine. The obtained results of the optimum values of the GWO algorithm are compared with those attained using the optimum values of the current 265 MW simple cycle, Actual single-shaft HDGT.
Keywords
Grey wolf optimization (GWO); proportional integral derivative (PID); Combined Cycle Power Plant (CCPP); optimal control; load disturbances; Heavy-duty gas turbine (HDGT); fuel stroke ratio (FSR)
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
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