Ecological Uniqueness for Understanding Line Importance in Power Grids

Foster, Andrew D.; Huang, Hao; Narimani, Mohammad Rasoul; Homiller, Laura; Davis, Katherine; Layton, Astrid

doi:10.1109/tpec51183.2021.9384955

2021 IEEE Texas Power and Energy Conference (TPEC) 2021

DOI: 10.1109/tpec51183.2021.9384955

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Ecological Uniqueness for Understanding Line Importance in Power Grids

Andrew D. Foster

Hao Huang

Mohammad Rasoul Narimani

et al.

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2024

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Bio‐inspired human network diagnostics: Ecological modularity and nestedness as quantitative indicators of human engineered network function

Blair,

Hairston,

Banks

et al. 2024

Systems Engineering

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Analyzing interactions between actors from a systems perspective yields valuable information about the overall system's form and function. When this is coupled with ecological modeling and analysis techniques, biological inspiration can also be applied to these systems. The diagnostic value of three metrics frequently used to study mutualistic biological ecosystems (nestedness, modularity, and connectance) is shown here using academic engineering makerspaces. Engineering students get hands‐on usage experience with tools for personal, class, and competition‐based projects in these spaces. COVID‐19 provides a unique study of university makerspaces, enabling the analysis of makerspace health through the known disturbance and resultant regulatory changes (implementation and return to normal operations). Nestedness, modularity, and connectance are shown to provide information on space functioning in a way that enables them to serve as heuristic diagnostics tools for system conditions. The makerspaces at two large R1 universities are analyzed across multiple semesters by modeling them as bipartite student‐tool interaction networks. The results visualize the predictive ability of these metrics, finding that the makerspaces tended to be structurally nested in any one semester, however when compared to a “normal” semester the restrictions are reflected via a higher modularity. The makerspace network case studies provide insight into the use and value of quantitative ecosystem structure and function indicators for monitoring similar human‐engineered interaction networks that are normally only tracked qualitatively.

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Bio‐inspired human network diagnostics: Ecological modularity and nestedness as quantitative indicators of human engineered network function

Blair,

Hairston,

Banks

et al. 2024

Systems Engineering

View full text Add to dashboard Cite

show abstract

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Ecological Uniqueness for Understanding Line Importance in Power Grids

Cited by 1 publication

References 25 publications

Bio‐inspired human network diagnostics: Ecological modularity and nestedness as quantitative indicators of human engineered network function

Bio‐inspired human network diagnostics: Ecological modularity and nestedness as quantitative indicators of human engineered network function

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