
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
A resilience-oriented centralised-to-decentralised framework for networked microgrids management

handle: 10044/1/99156 , 10754/671004
This paper proposes a cyber-physical cooperative mitigation framework to enhance power systems resilience under extreme events, e.g., earthquakes and hurricanes. Extreme events can simultaneously damage the physical-layer electric power infrastructure and the cyber-layer communication facilities. Microgrid (MG) has been widely recognised as an effective physical-layer response to such events, however, the mitigation strategy in the cyber lay is yet to be fully investigated. Therefore, this paper proposes a resilience-oriented centralised-to-decentralised framework to maintain the power supply of critical loads such as hospitals, data centers, etc., under extreme events. For the resilient control, controller-to-controller (C2C) wireless network is utilised to form the emergency regional communication when centralised base station being compromised. Owing to the limited reliable bandwidth that reserved as a backup, the inevitable delays are dynamically minimised and used to guide the design of a discrete-time distributed control algorithm to maintain post-event power supply. The effectiveness of the cooperative cyber-physical mitigation framework is demonstrated through extensive simulations in MATLAB/Simulink.
- University of Southampton United Kingdom
- King Abdullah University of Science and Technology Saudi Arabia
- Imperial College London United Kingdom
- University College London / Department of Electronic and Electrical Engineering United Kingdom
- King Abdullah University of Science and Technology Saudi Arabia
Technology, Engineering, Chemical, 330, Energy & Fuels, Microgrid, Wireless communication, Chemical, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, 09 Engineering, Contingency response, Engineering, FOS: Electrical engineering, electronic engineering, information engineering, SECONDARY VOLTAGE, RESOURCE-ALLOCATION, 14 Economics, eess.SY, Science & Technology, CLIMATE-CHANGE, Energy, Resilience, MULTIAGENT SYSTEMS, cs.SY, AC, 620, TIME, 629, CONSENSUS, Centralised-to-decentralised framework
Technology, Engineering, Chemical, 330, Energy & Fuels, Microgrid, Wireless communication, Chemical, Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, 09 Engineering, Contingency response, Engineering, FOS: Electrical engineering, electronic engineering, information engineering, SECONDARY VOLTAGE, RESOURCE-ALLOCATION, 14 Economics, eess.SY, Science & Technology, CLIMATE-CHANGE, Energy, Resilience, MULTIAGENT SYSTEMS, cs.SY, AC, 620, TIME, 629, CONSENSUS, Centralised-to-decentralised framework
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).33 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
