GIS-based risk assessment for electric power consumers under severe weather conditions

Qin, Yan; Dokic, Tatjana; Kezunovic, Mladen

doi:10.1109/melcon.2016.7495473

Cited by 11 publications

(4 citation statements)

References 12 publications

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“…With GIS, users can better understand patterns, relationships, and the context of geographic information, leading to better communication and enhanced efficiency, management, and decision-making. It is also observed that there is a growing trend in the use of GIS within the electrical sector (ESRI, 2010;Husain et al, 2012;Kakumoto et al, 2016;Kezunovic et al, 2015;Korir & Ngigi, 2015;Leite et al, 2019;Li et al, 2014;Lin & Xu, 2016;Rahman et al, 2020;Yatim et al, 2019;Yan et al, 2016;Zheng et al, 2021).…”

Section: Figure 1 History Of Lightning Location System In Peninsular ...mentioning

confidence: 99%

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Roslan,

Ungku Amirulddin,

Ab. Kadir

et al. 2024

JST

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Malaysia is one of the world's highest lightning regions, making it an ideal location for studying lightning activities, as they cause many power outages on overhead transmission lines. This study presents ground flash density (GFD) mapping and statistical analysis of lightning flash data in Peninsular Malaysia, which will be used to evaluate the lightning performance of transmission lines. Using Geographical Information System (GIS) software, the GFD map and lightning flash data for statistical analysis were extracted. MATLAB was then used to perform statistical analysis and obtain the probability of peak lightning current using the generalized extreme value (GEV) distribution. This study analyzed six years of lightning flash data from 2012 to 2017 recorded by the Lightning Location System (LLS) and used the Peninsular Malaysia base map from the Department of Survey and Mapping Malaysia (JUPEM). Results show that the GFD mapping approach effectively classifies GFD distribution and identifies areas with high lightning activity. 81% of 4,536,380 lightning flashes were negative polarity, with a higher mean peak current magnitude than positive ones. More lightning activity was observed during the Southwest Monsoon (June-September) and the first Inter-Monsoon season (April-May). Pahang had the most lightning flashes due to its large land area. The GFD map overlaid on the transmission line demonstrated how lightning performance on the transmission line can be assessed. These findings are useful for utility and protection engineers to improve the performance of transmission lines.

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Section: Figure 1 History Of Lightning Location System In Peninsular ...mentioning

confidence: 99%

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Roslan,

Ungku Amirulddin,

Ab. Kadir

et al. 2024

JST

View full text Add to dashboard Cite

show abstract

“…Environmental weather data of this kind was also used to identify specific threats that could potentially harm transmission and distribution lines [36], [37]. In addition to weather data, this type of risk assessment effectively used GIS data to identify electric system risks associated with natural disasters or severe weather conditions [33], [38]- [41].…”

Section: Introductionmentioning

confidence: 99%

Geospatial Assessment Methodology to Estimate Power Line Restoration Access Vulnerabilities After a Hurricane in Puerto Rico

Jones

Bresloff

Darbali-Zamora

et al. 2022

IEEE Open J. Power Energy

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Limited access to transmission lines after a major contingency event can inhibit restoration efforts. After Hurricane Maria, for example, flooding and landslides damaged roads and thus limited travel. Transmission lines are also often situated far from maintained roadways, further limiting the ability to access and repair them. Therefore, this paper proposes a methodology for assessing Puerto Rico's infrastructure (i.e., roads and transmission lines) to identify potentially hard to reach areas due to natural risks or distance to roads. The approach uses geographic information system (GIS) data to define vulnerable areas, that may experience excessive restoration times. The methodology also uses graph theory analysis to find transmission lines with high centrality (or importance). Comparison of these important transmission lines with the vulnerability results found that many reside near roads that are at risk for landslides or floods.

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“…In this light, existing studies [5][6][7] have adopted visualization technologies based on Geographical Information System (GIS). More specifically, the outage management of distribution networks can be enhanced by visualizing potential damages on overhead lines that are caused by weather related events [5].…”

Section: Introductionmentioning

confidence: 99%

“…More specifically, the outage management of distribution networks can be enhanced by visualizing potential damages on overhead lines that are caused by weather related events [5]. Further, the impact of severe weather events on customer damage cost has been quantified and visualized in [6] using a GIS-based technology. This can provide warnings to network operators to implement proper actions in a timely and effective manner.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Network Vulnerability During Extreme Weather Events for Situation Awareness Enhancement

Liu

Zhou

Panteli

2018

2018 IEEE Power &Amp; Energy Society General Meeting (PESGM)

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Extreme events, driven mainly by natural disasters and extreme weather, have severe impacts on the resilient operation of power systems. Adequate situation awareness during these events is essential to the implementation of those preventive and corrective actions that would improve network resilience. It is thus becoming increasingly important to quantify and visualize the network impacts of such extreme events, which would enhance the situation awareness of system operators. Within this context, this paper proposes a fragility-based probabilistic approach to firstly assess the impact of extreme weather events on network integrity and then generate heat maps for visualizing the spatiotemporal vulnerability of the network to the weather event. The application of the proposed approach using a simplified version of the Great Britain transmission network demonstrates that such a tool can benefit the situation awareness of the system operators, enabling their effective and timely response to such disastrous events.

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GIS-based risk assessment for electric power consumers under severe weather conditions

Cited by 11 publications

References 12 publications

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Development of GIS-based Ground Flash Density and its Statistical Analysis for Lightning Performance Evaluation of Transmission Lines in Peninsular Malaysia

Geospatial Assessment Methodology to Estimate Power Line Restoration Access Vulnerabilities After a Hurricane in Puerto Rico

Visualization of Network Vulnerability During Extreme Weather Events for Situation Awareness Enhancement

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