首页> 外文期刊>Smart Grid, IEEE Transactions on >Distributed Consensus-Based Fault Tolerant Control of Islanded Microgrids
【24h】

Distributed Consensus-Based Fault Tolerant Control of Islanded Microgrids

机译:基于分布式共识的孤岛微电网容错控制

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

This paper proposes a novel fault tolerant consensus-based secondary voltage and frequency restoration method considering disturbances and actuator faults by using the sliding mode control for islanded microgrids (MGs). Existing distributed methods commonly design restoration layer based on the ideal condition that the actuators of distributed generations (DGs) function healthily and there are no faults and disturbances, whereas MGs are exposed to actuator faults of biased fault and partial loss of effectiveness fault. Faults and disturbances have a great impact on control of MG, which terribly reduce the stability and quality of it. To eliminate the adverse effects of them, this paper explicitly addresses the consensus problem for frequency and voltage restoration of MGs, whereas providing stringent real power sharing, in the presence of actuation/propulsion faults and disturbances. To this end, we derive the consensus restoration proof using rigorous Lyapunov analysis. As a result, the suggested method decreases the sensitivity of the system to failures and increases its reliability. Unlike conventional distributed controllers, the proposed approach quickly reaches consensus and exhibits a more accurate robust performance. Finally, we have performed several simulation scenarios in MATLAB/SimPowerSystems Toolbox to illustrate the efficiency of the theoretical results.
机译:本文提出了一种新的基于容错共识的二次电压和频率恢复方法,该方法通过使用孤岛微电网(MGs)的滑模控制来考虑扰动和执行器故障。现有的分布式方法通常基于理想的条件来设计恢复层,即分布式发电装置的执行器运行良好,没有故障和干扰,而MG则存在执行器故障,包括偏置故障和部分有效性故障。故障和干扰对MG的控制有很大影响,这极大地降低了MG的稳定性和质量。为了消除它们的不利影响,本文明确解决了MG的频率和电压恢复的共识性问题,同时在存在驱动/推进故障和干扰的情况下提供了严格的有功功率分配。为此,我们使用严格的Lyapunov分析得出了共识恢复证明。结果,建议的方法降低了系统对故障的敏感性并提高了其可靠性。与传统的分布式控制器不同,所提出的方法迅速达成共识,并表现出更准确的鲁棒性能。最后,我们在MATLAB / SimPowerSystems Toolbox中执行了几种仿真方案,以说明理论结果的效率。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号