Automated Switching Operation for Resilience Enhancement of Distribution Systems

Improving the resilience of the distribution system using the automation of network switches

“…According to the review of study, it can be seen that in some papers related to resilience [4][5][6][7][8][9][10][11][12][13][14], the effect of automation implementation in distribution networks, especially in distribution grid switches, has not been investigated. Some other studies [15][16][17][18][19][20][21][22][23][24][25][26][27] have considered the effect of automation of distribution system switches in solving the problem of assessing the resilience of the distribution network. However, the simultaneous assessment of reliability with network resilience was not included in these studies [15][16][17][18][19][20][21][22][23][24][25][26][27].…”

“…Because the point of view of reliability such as resilience in the distribution network is very important for the operator in order to optimally operation the distribution network, not paying attention to this issue can cause long-term outages in the electricity distribution network. Also, the simultaneous effect of investment cost, type and number of installed switches in evaluating the reliability and resilience of the distribution network has not been considered in the previous studies [15][16][17][18][19][20][21][22][23][24][25][26][27]. Considering that the cost of installing these switches is expensive, getting the optimal number of these switches will reduce the costs of the distribution system.…”

“…Also, the small number of switching operations increases the life of this equipment. Another point that the review of previous studies shows is that most of the studies [15][16][17][18][22][23][24][25][26][27] present their strategies for load recovery after the incident. While they have not considered the probability and severity of the incident in their evaluations.…”

Resilient distribution system leveraging distributed generation and microgrids: a review

“…Specifically, K quantifies the total number of lines on an outage due to an extreme weather event, LOLP quantifies the probability of the load not being supplied properly, EDNS quantifies the expected demand that the system is unable to supply, and G quantifies the severity of extreme events, infrastructure damage, and an inaccessible level of resources. Similarly, in Hosseini et al [21 ], six metrics are proposed to quantify the various impacts of automated fault location, isolation, and service restoration on the resilience of electrical distribution systems after an extreme event: the expected maximum load loss, expected load interruption rate, expected automatic restoration time, expected load restored by automation, expected repair time, and expected energy not served.…”

Wildfire Risk Mitigation: A Paradigm Shift in Power Systems Planning and Operation

“…Rural distribution grids are typically radial in nature, but isolating the fault allows downstream sections of the grid to become energized if so designed. Power can be partially restored to meet critical loads by either grid network reconfiguration or islanded operation [60]- [63]. During network reconfiguration, an alternate or backup network topology is utilized to provide an alternate path to grid sourced power for the islanded section of the grid.…”