Enhancement of Network Resiliency in Power Networks Employing Distributed Generation

The immunity of a power network against unplanned or designated vulnerable attacks is gaining importance in recent pears. The capability of the network to resist fragmentation, mitigate and overcome stresses and failures are characterized by the resiliency of the network. In this paper, an attempt has been made to employ the concepts of complex, network theory integrated with statistical methods in order to determine the criticality of damage to the nodes and edges of topographical model of an electrical power system encountering a vulnerable attack on that power system. Betweenness centrality of an electrical power network being one of the prime parameters of assessment for vulnerability of that network, computations have been conducted in a test network in order to obtain the moments of degree distribution of that network. This investigation facilitates the quantification of critical fraction of damaged nodes as well as the percolation threshold of the power network. This study highlights the characterization of resiliency of a typical electrical power network following a routine electrical failure, outage or designated attack on that electrical power system. The benefit of installing Distributed Generation (DG) at the critical nodes (buses) of the same electrical power network has also been observed.