An overview of the assessment metrics of the concept of resilience in electrical grids

Dehghani, Arash; Sedighizadeh, Mostafa; Haghjoo, Farhad

doi:10.1002/2050-7038.13159

Cited by 13 publications

(4 citation statements)

References 74 publications

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“…Our study did not consider alternative methods to strengthen the resilience of the grid, such as microgrids [60]. Additionally, many other metrics could be considered when choosing the best resilience strategy [61].…”

Section: Limitations and Outlookmentioning

confidence: 99%

High-resolution, open-source modeling of inland flooding impacts on the North Carolina bulk electric power grid

Prieto-Miranda,

Kern

2024

Environ. Res.: Energy

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Although damages to local distribution systems from wind and fallen trees are typically responsible for the largest fraction of electricity outages during hurricanes, outages caused by flooding of electrical substations pose a unique risk. Electrical substations are a key component of electric power systems, and in some areas, the loss of a single substation can cause widespread power outages. Before repairing damaged substations, utilities must first allow floodwaters to recede, potentially leaving some customers without power for weeks following storms. As economic losses from flooding continue to increase in the U.S., there has been increasing attention paid to the potential impacts of flooding on power systems. Yet, this attention has mostly been limited to geospatial risk assessments that identify what assets are in the path of flooding. Here, we present the first major attempt to understand how flooding from hurricanes and other extreme precipitation events affects the dynamic behavior of power networks, including losses of demand and generation, and altered power flows through transmission lines. We use North Carolina, hit by major hurricanes in three of the past seven years, as a test case. Using open-source data of grid infrastructure, we develop a high-resolution direct current optimal power flow model that simulates electricity production and generators and power flows through a network consisting of 662 nodes and 790 lines. We then simulate grid operations during the historical (2018) storm Hurricane Florence. Time series of flooding depth at a discrete set of “high water” mark points from the storm are used to spatially interpolate flooding depth across the footprint area of the storms on an hourly basis. Outages of substations and solar farms due to flooding are translated to location-specific losses of demand and solar power production throughout the network. We perform sensitivity analysis to explore grid impacts as a function of the height of sensitive equipment at substations. Results shed light on the potential for localized impacts from flooding to have wider impacts throughout the grid (including in areas not affected by flooding), with performance tracked in terms of transmission line flows/congestion, generation outputs, and customer outages.

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Section: Limitations and Outlookmentioning

confidence: 99%

High-resolution, open-source modeling of inland flooding impacts on the North Carolina bulk electric power grid

Prieto-Miranda,

Kern

2024

Environ. Res.: Energy

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“…More than 40 indices proposed in evaluating the resilience of an electrical network in [37] have been introduced by the authors of this paper and have been examined and compared in more detail. As shown in Table 1, the indices introduced in various studies for assessing the resilience of electrical networks can be classified into six general groups [30,[37][38][39].…”

Section: Literature Reviewmentioning

confidence: 99%

Defining a new index to compare the resilience of different structures of an electrical energy network

Dehghani

Sedighizadeh

Haghjoo

2022

IET Generation Trans & Dist

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The issue of resilience in electrical distribution systems has been proposed increasingly with the frequent occurrence of natural disasters in recent years and the imposition of high costs due to widespread power outages. To date, various resilience indices have been proposed, some of which have been improved upon over time by extensive research, leading to more comprehensive indices. However, a standard index has not yet been approved and presented in this regard by international committees, despite the efforts made. The issue of resilience in electrical networks was examined by curve analysis index in more detail compared to other proposed indices, although it is not yet complete and should be investigated from various aspects and its shortcomings be eliminated. The present study aims to evaluate some fundamental obstacles in the "curve analysis" index and correct it in a new index called "Combining Investment and Reform" (CIR) index. Two issues of "costs in terms of investment and repairs imposed by the event" and "need to separate critical and non-critical loads" are considered simultaneously in the proposed index. Finally, the capabilities of the proposed index are evaluated and compared in a sample electrical network in the face of events with different intensities.

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“…Since the focus on the resilience of power system to extreme events is increasing, it is important to develop the related quantitative approaches and metrics for the measure of resilience. Several resilience metrics have been provided in [6][7][8][9][10][11][12]. Bruneau et al [7] introduced a "resilience triangle" to assess seismic resilience of community system, where the resilience can be computed as the integral of degraded system performance with time after disruptions [13].…”

Section: Introductionmentioning

confidence: 99%

“…A state-of-the-art review of existing research on the study of grid resilience for definitions, frameworks, quantitative assessment methodologies, and enhancement strategies has been presented by Jufri et al [10]. Also, an overview of the assessment metrics of the concept of resilience in electrical grids was given by Dehghani et al [8], who explained the metrics that have been presented in various researches and compared these metrics from different aspects in order to determine the most comprehensive metric.…”

Section: Introductionmentioning

confidence: 99%

Resilience Assessment for Microgrid with Pre-Position and Reconfiguration of Emergency Distribution Generations under Natural Hazard

Lei

Huang

Liu

et al. 2022

International Transactions on Electrical Energy Systems

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Recently, increasing the number and severity of the natural hazards requires the resilience assessment and enhancement of the power system, especially the microgrid system. The emergency distribution generations have great potential to enhance the resilience of microgrid against blackouts under the emergency environment. This paper investigates the resilience assessment of the microgrid system under natural hazard, where emergency distribution generations are firstly pre-positioned on system nodes and then reconfigured after system damage occurs. A new resilience metric index and an efficient approximation computation method are provided for the resilience assessment of the focused problem. A new pre-position strategy and a new reconfiguration strategy on emergency distribution generations are proposed for the microgrid system emergency restoration under natural hazard. Also, a framework of resilience assessment is provided for problem-solving. The results of extensive experiments on the modified IEEE 30-Bus system and modified IEEE 118-Bus system confirm the effectiveness of the resilience assessment methodology and the superiority of proposed restoration strategies.

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An overview of the assessment metrics of the concept of resilience in electrical grids

Cited by 13 publications

References 74 publications

High-resolution, open-source modeling of inland flooding impacts on the North Carolina bulk electric power grid

High-resolution, open-source modeling of inland flooding impacts on the North Carolina bulk electric power grid

Defining a new index to compare the resilience of different structures of an electrical energy network

Resilience Assessment for Microgrid with Pre-Position and Reconfiguration of Emergency Distribution Generations under Natural Hazard

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