Performance analysis of an improved hierarchical droop-based control scheme under topological, parametric and communication uncertainties: Towards a resilient microgrid

Baghaee, Hamid Reza; Mirsalim, Mojtaba; Gharehpetian, Gevork B.; Talebi, Heidar Ali

doi:10.1109/sgc.2017.8308883

Cited by 2 publications

(1 citation statement)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Resilience metric (RM) [1,4,28,36,61], or so-called Resilience Index (RI) [21,47,49] or resilience indicator [4,59], is a tool for measuring the resilience level of power systems. The appropriate evaluation of the resilience level of the power system leads to effective and rational resilience enhancement strategies [33], e.g., advanced control techniques to improve the resilience level of microgrids [64][65][66][67][68]. By using quantitative resilience evaluation techniques, weak and strong areas of the power system can be identified, and resilience enhancement strategies can be proposed [37].…”

Section: Resilience Metricsmentioning

confidence: 99%

Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook

2020

View full text Add to dashboard Cite

Recently, there has been a focus on natural and man-made disasters with a high-impact low-frequency (HILF) property in electric power systems. A power system must be built with “resilience” or the ability to withstand, adapt and recover from disasters. The resilience metrics (RMs) are tools to measure the resilience level of a power system, normally employed for resilience cost–benefit in planning and operation. While numerous RMs have been presented in the power system literature; there is still a lack of comprehensive framework regarding the different types of the RMs in the electric power system, and existing frameworks have essential shortcomings. In this paper, after an extensive overview of the literature, a conceptual framework is suggested to identify the key variables, factors and ideas of RMs in power systems and define their relationships. The proposed framework is compared with the existing ones, and existing power system RMs are also allocated to the framework’s groups to validate the inclusivity and usefulness of the proposed framework, as a tool for academic and industrial researchers to choose the most appropriate RM in different power system problems and pinpoint the potential need for the future metrics.

show abstract