4.6 Article Proceedings Paper

Cyber-Physical Design and Implementation of Distributed Event-Triggered Secondary Control in Islanded Microgrids

期刊

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
卷 55, 期 6, 页码 5631-5642

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIA.2019.2936179

关键词

Cyber-physical systems; distributed event-triggered control; hardware-in-the-loop (HIL); microgrids (MGs); raspberry Pi (R-Pi)

资金

  1. Ministry of Education (MOE), Republic of Singapore under Grant AcRF TIER 1 [2019-T1-001-069, RG75/19]
  2. National Research Foundation (NRF) of Singapore [NRF2018-SR2001-018]
  3. Nanyang Assistant Professorship from Nanyang Technological University, Singapore

向作者/读者索取更多资源

A microgrid (MG) is a cyber-physical system with coupled power and communication networks. The centralized secondary control of MGs with periodical communications restricts system efficiency and resilience. This article proposes a distributed event-triggered secondary control scheme in islanded MGs with its cyber-physical implementation. The proposed control scheme operates with the reduced frequency of communications depending on the MG states change events (e.g., load variations and communication failures). Besides, the secondary control objectives, including frequency/voltage regulation and accurate real/reactive power sharing, are decoupled into two timescales. Instead of designing event-triggering conditions (ETCs) for each secondary control functions, only ETCs for power sharing control in slower timescale are designed. Thus, the communication burden is significantly reduced since communications among neighbor controllers are only needed at the event-triggered time. The proposed controller has been tested on a hardware-in-the-loop (HIL) platform, where the physical system is modeled in the OPAL-RT and the cyber system is realized in Raspberry Pis. The control effectiveness is validated by the HIL results.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据