Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control
The challenges of contingent island operation of hydropower plants are addressed by proposing an enhanced frequency control with advanced control algorithms. The study is based on a real power plant and considers the relevant power system in its entirety along with the load and transmission lines. I...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-11-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235248472201304X |
| _version_ | 1797901962309533696 |
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| author | Klemen Nagode Igor Škrjanc Boštjan Murovec |
| author_facet | Klemen Nagode Igor Škrjanc Boštjan Murovec |
| author_sort | Klemen Nagode |
| collection | DOAJ |
| description | The challenges of contingent island operation of hydropower plants are addressed by proposing an enhanced frequency control with advanced control algorithms. The study is based on a real power plant and considers the relevant power system in its entirety along with the load and transmission lines. Integrated transfer functions between the guide vane opening of a hydro turbine and the frequency of the associated generator were determined by in-situ identification. A model predictive controller, a fractional order PID controller, and a PID controller utilizing integral absolute error and integral time absolute error criteria were designed and developed. The performance of the proposed algorithms with the identified plant model was tested on a NI-cRIO 9049 FPGA platform. Improved frequency control in terms of setpoint change was achieved with the MPC and FOPID controllers. The MPC controller also features betters disturbance rejection compared to conventional PID controllers, which are tuned according to integral error criteria. The considered algorithms have been simulated in different operating scenarios, such as variations of active power load and transmission length. The proposed approach enhances stability and consequently avoids operational failures of hydropower plants in contingent islanding mode. |
| first_indexed | 2024-04-10T09:10:16Z |
| format | Article |
| id | doaj.art-be8f78f1dca242158e09e7afe8484a7f |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-10T09:10:16Z |
| publishDate | 2022-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-be8f78f1dca242158e09e7afe8484a7f2023-02-21T05:12:25ZengElsevierEnergy Reports2352-48472022-11-01893089330Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency controlKlemen Nagode0Igor Škrjanc1Boštjan Murovec2Department of Electrical Engineering, Sava Hydroelectric Power Plants Ljubljana d.o.o., Gorenjska cesta 46, 1215 Medvode, Slovenia; Corresponding author.Laboratory of Control Systems and Cybernetics, University of Ljubljana, Faculty of Electrical Engineering, Tržaška cesta 25, SI-1000 Ljubljana, SloveniaLaboratory for Machine Intelligence, University of Ljubljana, Faculty of Electrical Engineering, Tržaška cesta 25, SI-1000 Ljubljana, SloveniaThe challenges of contingent island operation of hydropower plants are addressed by proposing an enhanced frequency control with advanced control algorithms. The study is based on a real power plant and considers the relevant power system in its entirety along with the load and transmission lines. Integrated transfer functions between the guide vane opening of a hydro turbine and the frequency of the associated generator were determined by in-situ identification. A model predictive controller, a fractional order PID controller, and a PID controller utilizing integral absolute error and integral time absolute error criteria were designed and developed. The performance of the proposed algorithms with the identified plant model was tested on a NI-cRIO 9049 FPGA platform. Improved frequency control in terms of setpoint change was achieved with the MPC and FOPID controllers. The MPC controller also features betters disturbance rejection compared to conventional PID controllers, which are tuned according to integral error criteria. The considered algorithms have been simulated in different operating scenarios, such as variations of active power load and transmission length. The proposed approach enhances stability and consequently avoids operational failures of hydropower plants in contingent islanding mode.http://www.sciencedirect.com/science/article/pii/S235248472201304XModel predictive controlHydropower plantEnhanced stabilityIsland operation |
| spellingShingle | Klemen Nagode Igor Škrjanc Boštjan Murovec Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control Energy Reports Model predictive control Hydropower plant Enhanced stability Island operation |
| title | Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control |
| title_full | Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control |
| title_fullStr | Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control |
| title_full_unstemmed | Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control |
| title_short | Enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control |
| title_sort | enhanced stability and failure avoidance of hydropower plant in contingent island operation by model predictive frequency control |
| topic | Model predictive control Hydropower plant Enhanced stability Island operation |
| url | http://www.sciencedirect.com/science/article/pii/S235248472201304X |
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