Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm
Aiming at the occurrence of long-term and ultra-low frequency oscillations in the hydropower network system, this paper derives the generalized turbine transfer function speed control system model including the flow factor Tpq based on the generalized turbine model, and analyzes the influence of Tpq...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
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| Series: | Tehnički Vjesnik |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/379357 |
| _version_ | 1797206959393341440 |
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| author | Fannie Kong* Jinzhao Li Daliang Yang |
| author_facet | Fannie Kong* Jinzhao Li Daliang Yang |
| author_sort | Fannie Kong* |
| collection | DOAJ |
| description | Aiming at the occurrence of long-term and ultra-low frequency oscillations in the hydropower network system, this paper derives the generalized turbine transfer function speed control system model including the flow factor Tpq based on the generalized turbine model, and analyzes the influence of Tpq and PID parameters on the ultra-low frequency damping of the hydraulic turbine governing system. In order to better suppress the ultra-low frequency oscillation caused by improper PID parameter settings, a comprehensive optimization objective function reflecting damping and turbine speed deviation index (ITAE) in ultra-low frequency band is established. Based on the fast and efficient optimization strategy of Beetle Antennae Search, an improved beetle antennae particle swarm optimization is constructed. In single-machine and multi-machine systems, the improved algorithm is compared with different optimization algorithms. The simulation results show that the improved algorithm can overcome the slow convergence speed and easily fall into local optimization problem, effectively improve the damping level of hydraulic turbine governing system in ultra-low frequency, and is more effective and superior than other optimization algorithms. It provides a new way of thinking and technical means to suppress the ultra-low frequency oscillation by optimizing the parameters of the speed control system. |
| first_indexed | 2024-04-24T09:15:18Z |
| format | Article |
| id | doaj.art-d79ce657294d487f976fcdfeb0402406 |
| institution | Directory Open Access Journal |
| issn | 1330-3651 1848-6339 |
| language | English |
| last_indexed | 2024-04-24T09:15:18Z |
| publishDate | 2021-01-01 |
| publisher | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek |
| record_format | Article |
| series | Tehnički Vjesnik |
| spelling | doaj.art-d79ce657294d487f976fcdfeb04024062024-04-15T17:06:37ZengFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in OsijekTehnički Vjesnik1330-36511848-63392021-01-012841082109010.17559/TV-20201012123041Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search AlgorithmFannie Kong*0Jinzhao Li1Daliang Yang2School of electrical engineering, Guangxi University, University of Guangxi University, No. 100, Daxuedong Road, Xixiangtang District, Nanning, Guangxi, 530004, ChinaSchool of electrical engineering, Guangxi University, University of Guangxi University, No. 100, Daxuedong Road, Xixiangtang District, Nanning, Guangxi, 530004, ChinaSchool of electrical engineering, Guangxi University, University of Guangxi University, No. 100, Daxuedong Road, Xixiangtang District, Nanning, Guangxi, 530004, ChinaAiming at the occurrence of long-term and ultra-low frequency oscillations in the hydropower network system, this paper derives the generalized turbine transfer function speed control system model including the flow factor Tpq based on the generalized turbine model, and analyzes the influence of Tpq and PID parameters on the ultra-low frequency damping of the hydraulic turbine governing system. In order to better suppress the ultra-low frequency oscillation caused by improper PID parameter settings, a comprehensive optimization objective function reflecting damping and turbine speed deviation index (ITAE) in ultra-low frequency band is established. Based on the fast and efficient optimization strategy of Beetle Antennae Search, an improved beetle antennae particle swarm optimization is constructed. In single-machine and multi-machine systems, the improved algorithm is compared with different optimization algorithms. The simulation results show that the improved algorithm can overcome the slow convergence speed and easily fall into local optimization problem, effectively improve the damping level of hydraulic turbine governing system in ultra-low frequency, and is more effective and superior than other optimization algorithms. It provides a new way of thinking and technical means to suppress the ultra-low frequency oscillation by optimizing the parameters of the speed control system.https://hrcak.srce.hr/file/379357generalized hydro-turbine transfer function modelhydraulic turbine governing systemimproved beetle antennae particle swarm optimization algorithmPID parameter optimizationultra-low frequency oscillation |
| spellingShingle | Fannie Kong* Jinzhao Li Daliang Yang Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm Tehnički Vjesnik generalized hydro-turbine transfer function model hydraulic turbine governing system improved beetle antennae particle swarm optimization algorithm PID parameter optimization ultra-low frequency oscillation |
| title | Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm |
| title_full | Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm |
| title_fullStr | Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm |
| title_full_unstemmed | Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm |
| title_short | Optimal Control Strategy of Turbine Governor Parameters Based on Improved Beetle Antennae Search Algorithm |
| title_sort | optimal control strategy of turbine governor parameters based on improved beetle antennae search algorithm |
| topic | generalized hydro-turbine transfer function model hydraulic turbine governing system improved beetle antennae particle swarm optimization algorithm PID parameter optimization ultra-low frequency oscillation |
| url | https://hrcak.srce.hr/file/379357 |
| work_keys_str_mv | AT fanniekong optimalcontrolstrategyofturbinegovernorparametersbasedonimprovedbeetleantennaesearchalgorithm AT jinzhaoli optimalcontrolstrategyofturbinegovernorparametersbasedonimprovedbeetleantennaesearchalgorithm AT daliangyang optimalcontrolstrategyofturbinegovernorparametersbasedonimprovedbeetleantennaesearchalgorithm |