Generalized Contingency Analysis Based on Graph Theory and Line Outage Distribution Factor

Narimani, Mohammad Rasoul; Hao, Hongxun; Umunnakwe, Amarachi; Mao, Zeyu; Sahu, Abhijeet; Zonouz, Saman; Davis, Katherine

doi:10.48550/arxiv.2007.07009

Cited by 2 publications

(14 citation statements)

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“…With the N-1 Substation contingency, all the optimized networks are more reliable with fewer violations and unsolved situations. With the critical contingencies from [44,45], all the optimized networks are found to be more reliable than in their original form. ACTIVSg200-200-OPF has the best performance out of all the optimized network.…”

Section: Network Reliability Comparisonmentioning

confidence: 99%

“…The loss of one substation can catastrophically impact the entire system, providing a good validation of the redesigned system's ability to absorb large disturbances. Additionally, Narimani et al and Huang et al have utilized Line Outage Distribution Factors (LODFs) and Group Betweenness Centrality (GBC) to successfully identify sets of critical elements in synthetic grids, whose out of service can cause the system under stress [44,45] . All the contingency analyses investigated here are performed without remedial actions.…”

Section: Network Reliability Comparisonmentioning

confidence: 99%

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An Ecological Robustness-Oriented Approach for Power System Network Expansion

Huang

Mao²,

Panyam³

et al. 2021

Preprint

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Electric power grids are critical infrastructure that support modern society by supplying electric energy to critical infrastructure systems. Incidents are increasing that range from natural disasters to cyber attacks. These incidents threaten the reliability of power systems and create disturbances that affect the whole society. While existing standards and technologies are being applied to proactively improve power system reliability and resilience, there are still widespread electricity outages that cause billions of dollars in economic loss annually and threaten societal function and safety. Improving resilience in preparation for such events warrants strategic network design to harden the system. This paper presents an approach to strengthen power system security and reliability against disturbances by expanding the network structure from an ecosystems perspective.Ecosystems have survived a wide range of disturbances over a long time period, and an ecosystem's robust structure has been identified as the key element for its survivability. In this paper, we first present a study of the correlation of ecological robustness and power system structures. Then, we present a mixed-integer nonlinear programming problem (MINLP) that expands the transmission network structure to maximize ecological robustness with power system constraints for an improved ability to absorb disturbances. We solve the MINLP problem for the IEEE 24 Bus Reliability Test System and three synthetic power grids with 200-, 500-and 2000-buses, respectively. Our evaluation results show the optimized power systems have increased the network's robustness, more equally distributed power flows, and less violations under different levels of contingencies.

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Section: Network Reliability Comparisonmentioning

confidence: 99%

Section: Network Reliability Comparisonmentioning

confidence: 99%

An Ecological Robustness-Oriented Approach for Power System Network Expansion

Huang

Mao²,

Panyam³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…None of the above studies consider the impact of component loss in identifying critical components. Our previous work [14] applies Line Outage Distribution Factors (LODFs) [15] and betweenness centrality metrics to identify multiple critical branches in electric power grids. In this work, we improve upon the approach in [14] to search in a wider area in the corresponding graph of the electric power grid, which enables the method to evaluate coupled critical branches that may be far away from each other.…”

Section: Introductionmentioning

confidence: 99%

“…Our previous work [14] applies Line Outage Distribution Factors (LODFs) [15] and betweenness centrality metrics to identify multiple critical branches in electric power grids. In this work, we improve upon the approach in [14] to search in a wider area in the corresponding graph of the electric power grid, which enables the method to evaluate coupled critical branches that may be far away from each other. These geographically distributed coupled elements may be missed in the previous approach, and they are important to identify.…”

Section: Introductionmentioning

confidence: 99%

“…2) The resulting method is applied and evaluated on 200bus and 500-bus synthetic grids, and the method's distance and searching level parameters are varied. 3) From the contingency analysis results and comparison with [14], the new approach can find more subsets of critical branches causing more violations. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

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Toward Efficient Wide-Area Identification of Multiple Element Contingencies in Power Systems

Huang

Mao

Narimani

et al. 2021

2021 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Power system N ´x contingency analysis has inherent challenges due to its combinatorial characteristic where outages grow exponentially with the increase of x and N . To address these challenges, this paper proposes a method that utilizes Line Outage Distribution Factors (LODFs) and group betweenness centrality to identify subsets of critical branches. The proposed LODF metrics are used to select the high-impact branches. Based on each selected branch, the approach constructs the subgraph with parameters of distance and search level, while using branches' LODF metrics as the weights. A key innovation of this work is the use of the distance and search level parameters, which allow the subgraph to identify the most coupled critical elements that may be far away from a selected branch. The proposed approach is validated using the 200-and 500-bus test cases, and results show that the proposed approach can identify multiple N-x contingencies that cause violations.

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Generalized Contingency Analysis Based on Graph Theory and Line Outage Distribution Factor

Cited by 2 publications

References 0 publications

An Ecological Robustness-Oriented Approach for Power System Network Expansion

An Ecological Robustness-Oriented Approach for Power System Network Expansion

Toward Efficient Wide-Area Identification of Multiple Element Contingencies in Power Systems

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