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采用改进相位控制方法的微网并网/孤岛平滑切换策略 被引量:17

Smooth Switching Strategy Between Grid-Connected and Islanded Microgrid Using Improved Phase Control Method
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摘要 针对主从控制下的微网并网/孤岛运行模式切换问题,设计了综合功率控制、幅值控制与相位控制的微网模式控制系统。给出了主动离网的负载转移策略,降低了该过程对主控单元的冲击;提出了一种无锁相环的相位控制方法,与传统方法相比,其结构简单,实现了孤岛微网并网前的预同步,而且确保了运行模式切换前后频率和相位的连续。最后,建立了微网系统仿真平台,对被动离网、主动离网以及孤岛转并网的暂态过程进行分析,验证了所提策略的正确性。 A microgrid mode control system including power control, amplitude control and phase control was designed for smooth switch between grid-connected and islanded microgrid modes with master-slave control. A load transfer strategy on active isolating was introduced to reduce impact on master control. A novel phase control method without PLL was proposed. Compared to conventional method, the proposed method with simple structure not only achieved pre-synchronization control of islanded microgrid to main grid, but also ensured frequency stability and phase continuity during control mode transition. A simulation platform of a microgrid was established, and transients of passive isolating, active isolating and transition from islanded to grid-connected mode were analyzed. It verified validity and superiority of the proposed control strategy.
出处 《电网技术》 EI CSCD 北大核心 2016年第4期1155-1162,共8页 Power System Technology
基金 福建省中青年教师教育科研项目(JA15071) 福建省中青年教师教育科研项目(JA14064) 福州大学科技发展基金资助项目(650046)资助
关键词 微网 相位控制 并网模式 孤岛模式 平滑切换 microgrid phase control grid-connected mode islanded mode smooth switch
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  • 1张凡,牟龙华,王子豪,周涵,张鑫.主从控制孤岛微电网的优化故障控制策略[J].中国电机工程学报,2020,40(4):1241-1248. 被引量:26
  • 2Lasseter R. Integration of distributed energy resoures., the CERTS microgrid concept[R]. USA: California Energy Commission, 2003.
  • 3Chang Yuan-Chi, Liaw Chang-Ming. Establishment of a switched-reluctance generator-based common DC microgrid system[J]. IEEE Transactions on Power Electronics, 2011, 26(9): 2512-2527.
  • 4Wang P, Goel L, Liu X, et al. Harmonizing AC and DC: a hybrid AC/DC future grid solution[J]. IEEE Power and Energy Magazine, 2013, 11(3): 76-83.
  • 5Azmy A M, ErlichI, Sowa P. Artificial neural network-based dynamic equivalents for distribution systems containing active sources[J]. IEE Proceedings-Generation, Transmission and Distribution, 2004, 151 (6) 681-688.
  • 6Stankovic X M A. Identification of nonparametric dynamic power system equivalents with artificial neural networks[J]. 1EEE Transactions on Power Systems, 2003, 18(4): 1478-1486.
  • 7Swagatam D, Arijit B, Sambarta D, et al. Bacterial foraging optimization algorithm: theoretical foundations, analysis, and applications[J]. Studies in Computational Intelligence, 2009(203): 23-55.
  • 8Dong H, Ajith A, Jae H. A hybrid genetic algorithm and bacterial foraging approach for global optimization[J]. Information Sciences, 2007, 177(18): 3918-3937.
  • 9王成山,肖朝霞,王守相.微网综合控制与分析[J].电力系统自动化,2008,32(7):98-103. 被引量:405
  • 10陈涵,邓长虹,李大路.基于循环神经网络的动态等值模型辨识[J].高电压技术,2008,34(5):1001-1004. 被引量:11

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