Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system
In the microgrid, virtual synchronous generator technology can significantly enhance the anti‐interference characteristics of the system frequency and bus voltage, as well as solve the problems of insufficient damping and low inertia. However, the system frequency and active power oscillation caused...
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| Published in | IET renewable power generation Vol. 16; no. 8; pp. 1589 - 1601 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Wiley
01.06.2022
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| Online Access | Get full text |
| ISSN | 1752-1416 1752-1424 1752-1424 |
| DOI | 10.1049/rpg2.12461 |
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| Abstract | In the microgrid, virtual synchronous generator technology can significantly enhance the anti‐interference characteristics of the system frequency and bus voltage, as well as solve the problems of insufficient damping and low inertia. However, the system frequency and active power oscillation caused by power fluctuations and grid faults threaten the stable operation of the grid seriously. Therefore, for an alternating current (AC) microgrid multi‐virtual synchronous generator (VSG) parallel system, an improved virtual synchronous generator control algorithm based on a fuzzy inference system is proposed, which adjusts the values of virtual inertia and damping coefficient dynamically through fuzzy logic rules to realize the coordinated control of the two. The enhanced VSG algorithm described in this research has a substantial influence on power‐frequency oscillation suppression, decreases active power and frequency overshoot, shortens the adjustment time, and improves system frequency stability active power, according to simulation and experimental findings. |
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| AbstractList | Abstract In the microgrid, virtual synchronous generator technology can significantly enhance the anti‐interference characteristics of the system frequency and bus voltage, as well as solve the problems of insufficient damping and low inertia. However, the system frequency and active power oscillation caused by power fluctuations and grid faults threaten the stable operation of the grid seriously. Therefore, for an alternating current (AC) microgrid multi‐virtual synchronous generator (VSG) parallel system, an improved virtual synchronous generator control algorithm based on a fuzzy inference system is proposed, which adjusts the values of virtual inertia and damping coefficient dynamically through fuzzy logic rules to realize the coordinated control of the two. The enhanced VSG algorithm described in this research has a substantial influence on power‐frequency oscillation suppression, decreases active power and frequency overshoot, shortens the adjustment time, and improves system frequency stability active power, according to simulation and experimental findings. In the microgrid, virtual synchronous generator technology can significantly enhance the anti‐interference characteristics of the system frequency and bus voltage, as well as solve the problems of insufficient damping and low inertia. However, the system frequency and active power oscillation caused by power fluctuations and grid faults threaten the stable operation of the grid seriously. Therefore, for an alternating current (AC) microgrid multi‐virtual synchronous generator (VSG) parallel system, an improved virtual synchronous generator control algorithm based on a fuzzy inference system is proposed, which adjusts the values of virtual inertia and damping coefficient dynamically through fuzzy logic rules to realize the coordinated control of the two. The enhanced VSG algorithm described in this research has a substantial influence on power‐frequency oscillation suppression, decreases active power and frequency overshoot, shortens the adjustment time, and improves system frequency stability active power, according to simulation and experimental findings. |
| Author | Cai, Guowei Zhang, Zhe Koh, Leong Hai Zhang, Liang Zheng, Hao Wang, Xuesong |
| Author_xml | – sequence: 1 givenname: Liang surname: Zhang fullname: Zhang, Liang email: xiaozhanghit@163.com organization: Ministry of Education (Northeast Electric Power University) – sequence: 2 givenname: Hao surname: Zheng fullname: Zheng, Hao organization: Jining Power Supply Company, State Grid Shandong Electric Power Company – sequence: 3 givenname: Guowei surname: Cai fullname: Cai, Guowei organization: Ministry of Education (Northeast Electric Power University) – sequence: 4 givenname: Zhe surname: Zhang fullname: Zhang, Zhe organization: Nanyang Technological University – sequence: 5 givenname: Xuesong surname: Wang fullname: Wang, Xuesong organization: Ministry of Education (Northeast Electric Power University) – sequence: 6 givenname: Leong Hai surname: Koh fullname: Koh, Leong Hai organization: Nanyang Technological University |
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| Title | Power‐frequency oscillation suppression algorithm for AC microgrid with multiple virtual synchronous generators based on fuzzy inference system |
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