.png){kind=icon}
返回
Structured controller parameter tuning for power systems
.png){kind=icon}
OA
AI
DOI：10.1016/j.conengprac.2020.104490.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Reliable and secure operation of power systems becomes increasingly challenging as the share of volatile generation rises, leading to largely changing dynamics. Typically, the architecture and structure of controllers in power systems, such as voltage controllers of power generators, are fixed during the design and buildup of the network. As replacing existing controllers is often undesired and challenging, setpoint adjustments, as well as tuning of the controller parameters, are possibilities to counteract changing dynamics. We present an approach for fast and computationally efficient adaptation of parameters of structured controllers based on H-infinity optimization, also referred to as structured H-infinity controller synthesis, tailored towards power systems. The goal of the tuning is to increase the robustness of the system towards disturbances. Conditions are established that guarantee that the approach leads to stability. The results are verified in a testbed microgrid consisting of six inverters and a load bank, as well as in several simulation studies. Furthermore, the performance of the approach is compared to other tuning approaches, thereby demonstrating significantly reduced computation times. The proposed method improves the system robustness, as well as the time-response to step disturbances and allows structured controller tuning even for large networks.
Keyword:
Power system control
Structured controller synthesis
H-infinity design
Linear matrix inequalities
Distributed energy system
Power oscillation damping
Optimization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.6
论文数:
5.7K
被引数:
1.1W
机构
引用论文
A survey on modeling of microgrids-From fundamental physics to phasors and voltage sources.png)
AUTOMATICAOAAI
AUTOMATICAIF5.9
OAAI分享收藏
查看更多内容