A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines
In wind turbine control, maximum power point tracking (MPPT) control is the main control mode for partial-load regimes. Efficiency potentiation of energy conversion and power smoothing are both two important control objectives in partial-load regime. However, on the one hand, low power fluctuation s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/10/7/939 |
| _version_ | 1811185198246658048 |
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| author | Hongmin Meng Tingting Yang Ji-zhen Liu Zhongwei Lin |
| author_facet | Hongmin Meng Tingting Yang Ji-zhen Liu Zhongwei Lin |
| author_sort | Hongmin Meng |
| collection | DOAJ |
| description | In wind turbine control, maximum power point tracking (MPPT) control is the main control mode for partial-load regimes. Efficiency potentiation of energy conversion and power smoothing are both two important control objectives in partial-load regime. However, on the one hand, low power fluctuation signifies inefficiency of energy conversion. On the other hand, enhancing efficiency may increase output power fluctuation as well. Thus the two objectives are contradictory and difficult to balance. This paper proposes a flexible MPPT control framework to improve the performance of both conversion efficiency and power smoothing, by adaptively compensating the torque reference value. The compensation was determined by a proposed model predictive control (MPC) method with dynamic weights in the cost function, which improved control performance. The computational burden of the MPC solver was reduced by transforming the cost function representation. Theoretical analysis proved the good stability and robustness. Simulation results showed that the proposed method not only kept efficiency at a high level, but also reduced power fluctuations as much as possible. Therefore, the proposed method could improve wind farm profits and power grid reliability. |
| first_indexed | 2024-04-11T13:26:24Z |
| format | Article |
| id | doaj.art-1c1d68a260df450b8df58dd02d1be72f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:26:24Z |
| publishDate | 2017-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1c1d68a260df450b8df58dd02d1be72f2022-12-22T04:22:03ZengMDPI AGEnergies1996-10732017-07-0110793910.3390/en10070939en10070939A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind TurbinesHongmin Meng0Tingting Yang1Ji-zhen Liu2Zhongwei Lin3State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaIn wind turbine control, maximum power point tracking (MPPT) control is the main control mode for partial-load regimes. Efficiency potentiation of energy conversion and power smoothing are both two important control objectives in partial-load regime. However, on the one hand, low power fluctuation signifies inefficiency of energy conversion. On the other hand, enhancing efficiency may increase output power fluctuation as well. Thus the two objectives are contradictory and difficult to balance. This paper proposes a flexible MPPT control framework to improve the performance of both conversion efficiency and power smoothing, by adaptively compensating the torque reference value. The compensation was determined by a proposed model predictive control (MPC) method with dynamic weights in the cost function, which improved control performance. The computational burden of the MPC solver was reduced by transforming the cost function representation. Theoretical analysis proved the good stability and robustness. Simulation results showed that the proposed method not only kept efficiency at a high level, but also reduced power fluctuations as much as possible. Therefore, the proposed method could improve wind farm profits and power grid reliability.https://www.mdpi.com/1996-1073/10/7/939wind turbinemaximum power point trackingMPPTconversion efficiencypower smoothingpower fluctuationmulti-objective controlcost function |
| spellingShingle | Hongmin Meng Tingting Yang Ji-zhen Liu Zhongwei Lin A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines Energies wind turbine maximum power point tracking MPPT conversion efficiency power smoothing power fluctuation multi-objective control cost function |
| title | A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines |
| title_full | A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines |
| title_fullStr | A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines |
| title_full_unstemmed | A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines |
| title_short | A Flexible Maximum Power Point Tracking Control Strategy Considering Both Conversion Efficiency and Power Fluctuation for Large-inertia Wind Turbines |
| title_sort | flexible maximum power point tracking control strategy considering both conversion efficiency and power fluctuation for large inertia wind turbines |
| topic | wind turbine maximum power point tracking MPPT conversion efficiency power smoothing power fluctuation multi-objective control cost function |
| url | https://www.mdpi.com/1996-1073/10/7/939 |
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