Blackout Recovery Scenario in a Combined-Cycle Power Plant via Line Charging and Internal Cross-Supply: A Techno-Economic Comparative Analysis
DOI:
https://doi.org/10.62146/ijecbe.v2i2.61Keywords:
Blackout, Internal Cross-Supply, Line Charging, Combined Cycle Power Plant, Minimum Load Set PointAbstract
The readiness of fast response power plants, such as Combined-Cycle Power Plant (CCCP), following a blackout in the power system shall be maintained to preserve the availability of the supply. Hence, blackout recovery scenario is usually prepared and considered as one of the measures to achieve the system readiness after blackout. This study presents a techno-economic comparative analysis between two blackout recovery methods, namely via line charging and internal cross-supply, in CCCP Priok, Indonesia. It analyzes the historical data of the relationship of the active power contribution to the frequency, and then obtains the appropriate settings for the power plant parameters. From the technical perspective, the gain value or participation factor of this plant is 49 MW/Hz with 6% droop setting and 0.029 Hz of deadband frequency. It is found that a load set point lower than 2.49 MW can lead to grid synchronization failure since there are self-consumption loads on each gas turbine. Moreover, to prevent the risk of reverse power and to achieve a successful internal cross-supply scenario, the minimum load setting shall be adjusted to 3 MW. Meanwhile, from an economic perspective, the results show that a successful internal cross-supply method may save up to IDR 2.7 billion compared with line charging method.
References
The Ministry of Energy and Mineral Resources of the Republic of Indonesia. Regulation of the Minister of Energy and Mineral Resources of the Republic of Indonesia Number 20 Year 2020 regarding Codes of Electricity Power System Network (Grid Code). Indonesia. 2020.
K. G. Ravikumar et al. “Isochronous load sharing principles for an islanded system with steam and gas turbine generators”. In: 2017 Petroleum and Chemical Industry Technical Conference (PCIC). IEEE. Sept. 2017, pp. 405–412. DOI: 10.1109/PCICON.2017.8188761.
M. J. Thompson. “Fundamentals and advancements in generator synchronizing systems”. In: 2012 65th Annual Conference for Protective Relay Engineers. IEEE. Apr. 2012, pp. 203–214. DOI: 10.1109/CPRE.2012.6201234.
A. Mazloomzadeh, V. Salehi, and O. Mohammed. “Soft synchronization of dispersed generators to micro grids for smart grid applications”. In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT). IEEE. Jan. 2012, pp. 1–7. DOI: 10.1109/ISGT.2012.6175812.
A. Pandey et al. “Dynamic Modeling and Cascade Failure Analysis of the Mumbai Grid Incident of October 12, 2020”. In: IEEE Access 10 (2022), pp. 43598–43610. DOI: 10.1109/ACCESS.2022.3160740.
H. Haes Alhelou et al. “A Survey on Power System Blackout and Cascading Events: Research Motivations and Challenges”. In: Energies 12.4 (Feb. 2019), p. 682. DOI: 10.3390/en12040682.
P. Mahat, Z. Chen, and B. Bak-Jensen. “Control strategies for gas turbine generators for grid connected and islanding operations”. In: IEEE PES TD 2010. IEEE. 2010, pp. 1–8. DOI: 10.1109/TDC.2010.5484471.
A. Asheibi and S. Shuaib. “A Case Study on Black Start Capability Assessment”. In: 2019 International Conference on Electrical Engineering Research & Practice (ICEERP). IEEE. Nov. 2019, pp. 1–5. DOI:10.1109/ICEERP49088.2019.8956978.
H. Gajjar, S. Jain, and A. Modi. “Gas Turbine Life Extension: A 655 MW Combined Cycle Power Plant User’s Experience”. In: Volume 2: Turbo Expo 2003. ASMEDC. Jan. 2003, pp. 795–801. DOI:10.1115/GT2003-38420.
D.-J. Kim et al. “Impact of a Heavy-Duty Gas Turbine Operating Under Temperature Control on System Stability”. In: IEEE Transactions on Power Systems 33.4 (July 2018), pp. 4543–4552. DOI:10.1109/TPWRS.2017.2781239.
ABB.Inspection Recommendation Service Intervals and Maintenance of Gas Turbine TYPE 13E. Technical report.
P. Kundur. Power system stability and control. New York, NY: McGraw-Hill Professional, 1994.
M.Beus and H. Pandžić. “Application of an adaptive model predictive control algorithm on the Pelton turbine governor control”. In: IET Renewable Power Generation 14.10 (July 2020), pp. 1720 1727. DOI: 10.1049/iet-rpg.2019.1291.
K.G. Ravikumar et al. “Generation Control System: Using Isochronous Load-Sharing Principles With Gas and Steam Turbine Generators”. In: IEEE Industry Applications Magazine 25.2 (Mar. 2019),pp. 36–44. DOI: 10.1109/MIAS.2018.2875127.
ABB.Functional Description Tanjung Priok FG GT-Controller. 1994.
L. C. Saikia and S. K. Sahu. “Automatic generation control of a combined cycle gas turbine plant with classical controllers using Firefly Algorithm”. In: International Journal of Electrical Power & Energy Systems 53 (Dec. 2013), pp. 27–33. DOI: 10.1016/j.ijepes.2013.04.007.
I. Indrawanto and H. Cahyono. “PEMODELAN DAN SIMULASI SISTEM PEMBANGKIT TURBIN GAS PLTGU TANJUNG PRIOK”. In: Mesin 24.2 (2017). [Online]. Available: https://journals.itb.ac.id/index.php/jtms/article/view/4997, pp. 182–202.
G. F. H. Warih and I. M. Arief. “Inlet Guide Vane Control System Modification to Improve the Reliability of Gas Turbine”. In: 2023 4th International Conference on High Voltage Engineering and Power Systems (ICHVEPS). IEEE. Aug. 2023, pp. 374–378. DOI: 10.1109/ICHVEPS58902.2023.10257377.
S.Nurkholiqetal.“RedesignIntegratedControlSystemGTGandHRSGtoReduceLossofElectrical Production at Combined Cycle Power Plant Muara Karang”. In: IOP Conference Series: Materials Science and Engineering 1096.1 (Mar. 2021), p. 012087. DOI: 10.1088/1757-899X/1096/1/012087.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 International Journal of Electrical, Computer, and Biomedical Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.