Han, Renke

PROJECT TITLE: Bio-Inspired Resiliency Analysis and Control Architectures for Microgrid Clusters 

PhD period: 2015.11.15 – 2018.11.14.
Section: Power Electronic Systems
Research Programme: Microgrids
Supervisor: Josep M. Guerrero 
Co-Supervisors: Juan Carlos Vasquez & Yajuan Guan 
Contact Information

Collaborator: Center for Complex Network Research, Northeastern University (US).
Funding: China Scholarship Council and scholarship from the Dept. of Energy Technology, AAU.


The complex network, composed of interacting individual nodes abstracted from natural and technological system such as biology network, power system, biochemical pathways, has attracted a great deal of attention recently, the important property of which is that these networks can be kept stable based on their own structure and interactive principles among nodes. However, these networks are all modelled as the single network without interdependent among different networks. Meanwhile, the interdependent networks can be more general in practical which means the failure of nodes in one network generally leads to the failure of dependent nodes in other networks, which in turn may cause further damage to the first network. For example, the blackouts in various countries have been the result of cascading failures between interdependent systems such as communication and power grid systems, or power generation and power transmission.

In this project, with the increasing number of the distributed energy resources (DERs), power supply and efficient resiliency requirements in a large range of area cannot be satisfied by only one microgrid (MG) because of its limited power capacity and geographical position. Thus, several MGs should be interconnected together to form the MG clusters to satisfy the power requirements. Furthermore, the above failures can also happen in interconnected MG. Thus it is necessary to achieve the efficient resiliency and flexibility operation of the MG cluster system when experiencing power unbalance, cyber-physical attack, power intermittency of some types of DERs (e.g. Photovoltaics (PV) and wind-based DERs) etc.

In order to solve above problems, the bio-inspired resiliency analysis and control architectures for MG clusters borrowed from the complex network theory will be proposed to achieve structure establishment, critical node identification, stability operation and efficient resiliency for the MG clusters. The following are the challenges in this project:

1). From the perspectives of controllability theory for natural complex networks, how is robustness affected by the variables in the model of one MG composed of several DGs? Which are the driver nodes in a MG system?

2). Considering the features of interconnected and interdependent MG clusters, how to achieve resiliency and flexible operation under both the normal and attack condition to avoid catastrophic cascade of failures for the whole system?

3). The completed resiliency analysis and control system should be proposed, including the critical node identification, the resilience process, control architecture with control algorithm.

The figure below shows the corresponding relationship between MG clusters and its abstracted complex network.


Publications in journals and conference papers may be found at VBN