PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines
With the high penetration of wind turbines, many issues need to be addressed in relation to load frequency control (LFC) to ensure the stable operation of power grids. The particle swarm optimization-based model predictive control (PSO-MPC) approach is presented to address this issue in the context...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/21/8219 |
| _version_ | 1797468380809134080 |
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| author | Wei Fan Zhijian Hu Veerapandiyan Veerasamy |
| author_facet | Wei Fan Zhijian Hu Veerapandiyan Veerasamy |
| author_sort | Wei Fan |
| collection | DOAJ |
| description | With the high penetration of wind turbines, many issues need to be addressed in relation to load frequency control (LFC) to ensure the stable operation of power grids. The particle swarm optimization-based model predictive control (PSO-MPC) approach is presented to address this issue in the context of LFC with the participation of wind turbines. The classical MPC model was modified to incorporate the particle swarm optimization algorithm for the power generation model to regulate the system frequency. In addition to addressing the unpredictability of wind turbine generation, the presented PSO-MPC strategy not only addresses the randomness of wind turbine generation, but also reduces the computation burden of traditional MPC. The simulation results validate the effectiveness and feasibility of the PSO-MPC approach as compared with other state-of-the-art strategies. |
| first_indexed | 2024-03-09T19:06:37Z |
| format | Article |
| id | doaj.art-9a3c2e5a67cf40158b2a51021f32054a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T19:06:37Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-9a3c2e5a67cf40158b2a51021f32054a2023-11-24T04:33:39ZengMDPI AGEnergies1996-10732022-11-011521821910.3390/en15218219PSO-Based Model Predictive Control for Load Frequency Regulation with Wind TurbinesWei Fan0Zhijian Hu1Veerapandiyan Veerasamy2School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, SingaporeWith the high penetration of wind turbines, many issues need to be addressed in relation to load frequency control (LFC) to ensure the stable operation of power grids. The particle swarm optimization-based model predictive control (PSO-MPC) approach is presented to address this issue in the context of LFC with the participation of wind turbines. The classical MPC model was modified to incorporate the particle swarm optimization algorithm for the power generation model to regulate the system frequency. In addition to addressing the unpredictability of wind turbine generation, the presented PSO-MPC strategy not only addresses the randomness of wind turbine generation, but also reduces the computation burden of traditional MPC. The simulation results validate the effectiveness and feasibility of the PSO-MPC approach as compared with other state-of-the-art strategies.https://www.mdpi.com/1996-1073/15/21/8219wind turbinesload frequency controlparticle swarm optimizationmodel predictive control |
| spellingShingle | Wei Fan Zhijian Hu Veerapandiyan Veerasamy PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines Energies wind turbines load frequency control particle swarm optimization model predictive control |
| title | PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines |
| title_full | PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines |
| title_fullStr | PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines |
| title_full_unstemmed | PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines |
| title_short | PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines |
| title_sort | pso based model predictive control for load frequency regulation with wind turbines |
| topic | wind turbines load frequency control particle swarm optimization model predictive control |
| url | https://www.mdpi.com/1996-1073/15/21/8219 |
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