MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent
Variable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters. Several studies have addressed the problem, but they are either complicated or require heavy computation. This s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/6/1156 |
| _version_ | 1828116578677293056 |
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| author | Hyeong-Jun Yoo Thai-Thanh Nguyen Hak-Man Kim |
| author_facet | Hyeong-Jun Yoo Thai-Thanh Nguyen Hak-Man Kim |
| author_sort | Hyeong-Jun Yoo |
| collection | DOAJ |
| description | Variable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters. Several studies have addressed the problem, but they are either complicated or require heavy computation. This study proposes a new model predictive control (MPC) method with constant switching frequency, which is simple to implement and needs only a small computation time. The proposed MPC method is based on the gradient descent (GD) method to find the optimal voltage vector. Since the cost function of the MPC method is represented in the strongly convex function, the optimal voltage vector could be found quickly by using the GD method, which reduces the computation time of the MPC method. The design of the proposed MPC method based on GD (GD-MPC) is shown in this study. The feasibility of the proposed GD-MPC is evaluated in the real-time simulation using OPAL-RT technologies. The performance of the proposed method in the case of single inverter operation or parallel inverter operation is shown. A comparison study on the proposed GD-MPC and the MPC with the concept of the virtual state vector (VSV-MPC) is presented to demonstrate the effectiveness of the proposed predictive control. Real-time simulation results show that the proposed GD-MPC method performs better with a low total harmonic distortion (THD) value of output current and short computation time, compared to the VSV-MPC method. |
| first_indexed | 2024-04-11T12:59:11Z |
| format | Article |
| id | doaj.art-33a656eb380f4dfb8d7640c31de3f776 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T12:59:11Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-33a656eb380f4dfb8d7640c31de3f7762022-12-22T04:22:59ZengMDPI AGEnergies1996-10732019-03-01126115610.3390/en12061156en12061156MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient DescentHyeong-Jun Yoo0Thai-Thanh Nguyen1Hak-Man Kim2Department of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, KoreaDepartment of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, KoreaDepartment of Electrical Engineering, Incheon National University, Songdo-dong, 119 Academy-ro, Yeonsu-gu, Incheon 22012, KoreaVariable switching frequency in the finite control set model predictive control (FCS-MPC) method causes a negative impact on the converter efficiency and the design of the output filters. Several studies have addressed the problem, but they are either complicated or require heavy computation. This study proposes a new model predictive control (MPC) method with constant switching frequency, which is simple to implement and needs only a small computation time. The proposed MPC method is based on the gradient descent (GD) method to find the optimal voltage vector. Since the cost function of the MPC method is represented in the strongly convex function, the optimal voltage vector could be found quickly by using the GD method, which reduces the computation time of the MPC method. The design of the proposed MPC method based on GD (GD-MPC) is shown in this study. The feasibility of the proposed GD-MPC is evaluated in the real-time simulation using OPAL-RT technologies. The performance of the proposed method in the case of single inverter operation or parallel inverter operation is shown. A comparison study on the proposed GD-MPC and the MPC with the concept of the virtual state vector (VSV-MPC) is presented to demonstrate the effectiveness of the proposed predictive control. Real-time simulation results show that the proposed GD-MPC method performs better with a low total harmonic distortion (THD) value of output current and short computation time, compared to the VSV-MPC method.https://www.mdpi.com/1996-1073/12/6/1156microgridsmodel predictive control (MPC)gradient descentconstant switching frequencyinverter-based distributed generations (DGs) |
| spellingShingle | Hyeong-Jun Yoo Thai-Thanh Nguyen Hak-Man Kim MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent Energies microgrids model predictive control (MPC) gradient descent constant switching frequency inverter-based distributed generations (DGs) |
| title | MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent |
| title_full | MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent |
| title_fullStr | MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent |
| title_full_unstemmed | MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent |
| title_short | MPC with Constant Switching Frequency for Inverter-Based Distributed Generations in Microgrid Using Gradient Descent |
| title_sort | mpc with constant switching frequency for inverter based distributed generations in microgrid using gradient descent |
| topic | microgrids model predictive control (MPC) gradient descent constant switching frequency inverter-based distributed generations (DGs) |
| url | https://www.mdpi.com/1996-1073/12/6/1156 |
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