Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control
For the power imbalance caused by the load switching in microgrids (MGs), which in turn causes the frequency crossing limit problem. In this paper, we propose an improved model predictive control (MPC) based on the existing MPC-VSG control, combining adaptive inertia damping control and adaptive wei...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061524000048 |
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| _version_ | 1846157852636348416 |
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| author | Rutian Wang Mingfeng Wang Kua Wang Xiuyun Wang |
| author_facet | Rutian Wang Mingfeng Wang Kua Wang Xiuyun Wang |
| author_sort | Rutian Wang |
| collection | DOAJ |
| description | For the power imbalance caused by the load switching in microgrids (MGs), which in turn causes the frequency crossing limit problem. In this paper, we propose an improved model predictive control (MPC) based on the existing MPC-VSG control, combining adaptive inertia damping control and adaptive weight coefficient control for joint control, and adjusting the inertia damping coefficient of VSG in real-time by adaptive inertia damping control. In MPC control, the measured parameters at the current moment are used to predict the state quantities at the future moment, and then the target function is designed with the angular frequency deviation and the VSG power output as performance indicators, and the weight coefficients in the target function are updated in real-time by detecting the frequency deviation. After solving the objective function to obtain the required power compensation, the power reference value of the VSG is updated to optimize the dynamic response of the frequency. Experiment and comparison analysis with two existing methods show that the proposed method can further optimize the frequency response and smooth the output power of other power supply components in the microgrid when they are disturbed. |
| format | Article |
| id | doaj-art-fd1bd8272f4e40c28d3434cea15cf831 |
| institution | Kabale University |
| issn | 0142-0615 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-fd1bd8272f4e40c28d3434cea15cf8312024-11-25T04:40:47ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152024-02-01156109783Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG controlRutian Wang0Mingfeng Wang1Kua Wang2Xiuyun Wang3Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, ChinaKey Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, ChinaCorresponding author.; Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin 132012, ChinaFor the power imbalance caused by the load switching in microgrids (MGs), which in turn causes the frequency crossing limit problem. In this paper, we propose an improved model predictive control (MPC) based on the existing MPC-VSG control, combining adaptive inertia damping control and adaptive weight coefficient control for joint control, and adjusting the inertia damping coefficient of VSG in real-time by adaptive inertia damping control. In MPC control, the measured parameters at the current moment are used to predict the state quantities at the future moment, and then the target function is designed with the angular frequency deviation and the VSG power output as performance indicators, and the weight coefficients in the target function are updated in real-time by detecting the frequency deviation. After solving the objective function to obtain the required power compensation, the power reference value of the VSG is updated to optimize the dynamic response of the frequency. Experiment and comparison analysis with two existing methods show that the proposed method can further optimize the frequency response and smooth the output power of other power supply components in the microgrid when they are disturbed.http://www.sciencedirect.com/science/article/pii/S0142061524000048Virtual synchronous generatorModel predictive controlAdaptive controlFrequency response optimizationMicrogrids |
| spellingShingle | Rutian Wang Mingfeng Wang Kua Wang Xiuyun Wang Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control International Journal of Electrical Power & Energy Systems Virtual synchronous generator Model predictive control Adaptive control Frequency response optimization Microgrids |
| title | Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control |
| title_full | Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control |
| title_fullStr | Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control |
| title_full_unstemmed | Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control |
| title_short | Optimization of frequency dynamic characteristics in microgrids: An improved MPC-VSG control |
| title_sort | optimization of frequency dynamic characteristics in microgrids an improved mpc vsg control |
| topic | Virtual synchronous generator Model predictive control Adaptive control Frequency response optimization Microgrids |
| url | http://www.sciencedirect.com/science/article/pii/S0142061524000048 |
| work_keys_str_mv | AT rutianwang optimizationoffrequencydynamiccharacteristicsinmicrogridsanimprovedmpcvsgcontrol AT mingfengwang optimizationoffrequencydynamiccharacteristicsinmicrogridsanimprovedmpcvsgcontrol AT kuawang optimizationoffrequencydynamiccharacteristicsinmicrogridsanimprovedmpcvsgcontrol AT xiuyunwang optimizationoffrequencydynamiccharacteristicsinmicrogridsanimprovedmpcvsgcontrol |