Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement
A droop controlled microgrid with distribution static compensator (DSTATCOM) is developed to improve the power quality in this study. Due to the reactive power/voltage Q-V droop characteristic and the existence of the unbalanced, linear inductive and nonlinear loads, the power quality problems, incl...
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9955545/ |
| _version_ | 1798016091021115392 |
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| author | Kuang-Hsiung Tan Meng-Yang Li Xiang-Yu Weng |
| author_facet | Kuang-Hsiung Tan Meng-Yang Li Xiang-Yu Weng |
| author_sort | Kuang-Hsiung Tan |
| collection | DOAJ |
| description | A droop controlled microgrid with distribution static compensator (DSTATCOM) is developed to improve the power quality in this study. Due to the reactive power/voltage Q-V droop characteristic and the existence of the unbalanced, linear inductive and nonlinear loads, the power quality problems, including the voltage drop, unbalanced currents, lagging power factor (PF) and current harmonics, are very serious in the islanded microgrid. Moreover, owing to the instantaneous power following into or out of the DC-link capacitor of the DSTATCOM under load variation, the performance of the DSTATCOM for power quality improvement is seriously degenerated. Hence, to effectively improve the power quality of the droop controlled microgrid and the transient response of the DC-link voltage of the DSTATCOM under load variation, an online trained polynomial petri fuzzy neural network (PPFNN) controller is firstly proposed as the DC-link voltage controller to supersede the conventional proportional-integral (PI) controller in the DSTATCOM. The network structure and the online learning strategy of the proposed PPFNN are detailedly derived. Finally, the effectiveness of the DSTATCOM using the proposed PPFNN controller to improve the unbalanced currents, the total harmonic distortion (THD) reduction of the current and to compensate the reactive power for the voltage support and PF correction in the droop controlled microgrid is certified. |
| first_indexed | 2024-04-11T15:45:17Z |
| format | Article |
| id | doaj.art-dd3f3c1e6cbb4c728283ca209024082e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-11T15:45:17Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dd3f3c1e6cbb4c728283ca209024082e2022-12-22T04:15:37ZengIEEEIEEE Access2169-35362022-01-011012160212161410.1109/ACCESS.2022.32233529955545Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality ImprovementKuang-Hsiung Tan0https://orcid.org/0000-0002-0381-5067Meng-Yang Li1Xiang-Yu Weng2Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan, TaiwanDepartment of Electrical Engineering, National Central University, Chungli, Taoyuan, TaiwanDepartment of Electrical Engineering, National Central University, Chungli, Taoyuan, TaiwanA droop controlled microgrid with distribution static compensator (DSTATCOM) is developed to improve the power quality in this study. Due to the reactive power/voltage Q-V droop characteristic and the existence of the unbalanced, linear inductive and nonlinear loads, the power quality problems, including the voltage drop, unbalanced currents, lagging power factor (PF) and current harmonics, are very serious in the islanded microgrid. Moreover, owing to the instantaneous power following into or out of the DC-link capacitor of the DSTATCOM under load variation, the performance of the DSTATCOM for power quality improvement is seriously degenerated. Hence, to effectively improve the power quality of the droop controlled microgrid and the transient response of the DC-link voltage of the DSTATCOM under load variation, an online trained polynomial petri fuzzy neural network (PPFNN) controller is firstly proposed as the DC-link voltage controller to supersede the conventional proportional-integral (PI) controller in the DSTATCOM. The network structure and the online learning strategy of the proposed PPFNN are detailedly derived. Finally, the effectiveness of the DSTATCOM using the proposed PPFNN controller to improve the unbalanced currents, the total harmonic distortion (THD) reduction of the current and to compensate the reactive power for the voltage support and PF correction in the droop controlled microgrid is certified.https://ieeexplore.ieee.org/document/9955545/Microgriddroop controlDSTATCOMpower qualityintelligent controlpolynomial neural network |
| spellingShingle | Kuang-Hsiung Tan Meng-Yang Li Xiang-Yu Weng Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement IEEE Access Microgrid droop control DSTATCOM power quality intelligent control polynomial neural network |
| title | Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement |
| title_full | Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement |
| title_fullStr | Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement |
| title_full_unstemmed | Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement |
| title_short | Droop Controlled Microgrid With DSTATCOM for Reactive Power Compensation and Power Quality Improvement |
| title_sort | droop controlled microgrid with dstatcom for reactive power compensation and power quality improvement |
| topic | Microgrid droop control DSTATCOM power quality intelligent control polynomial neural network |
| url | https://ieeexplore.ieee.org/document/9955545/ |
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