Spatial Risk Analysis of Power Systems Resilience During Extreme Events

Trakas, Dimitris N.; Panteli, Mathaios; Hatziargyriou, Nikos D.; Mancarella, Pierluigi

doi:10.1111/risa.13220

Cited by 48 publications

(26 citation statements)

References 31 publications

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“…For the stage before a typhoon occurs, reference [8] proposed a comprehensive response framework for the system under the preventive and emergency states, which was based on the two-stage robust mixedinteger optimization model. In [9], an online spatial risk analysis method was proposed, which can provide the regional damage risk of power systems affected by extreme events. In [10], a multi-objective dispatching strategy was optimized to improve the active disaster prevention ability of microgrids before typhoon occurs.…”

Section: Research Status About Dispatching Strategies For Power Systems To Deal With Typhoonmentioning

confidence: 99%

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Qian¹,

Chen²,

Chen

et al. 2021

Energies

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Typhoons and other natural disasters affect the normal operation of power systems thus it is an important goal for strong and intelligent power grid construction to improve the ability of power systems to resist typhoons and other natural disasters. Especially, an effective coordinated and optimized dispatching strategy for a multi-source power system is greatly helpful to cope with the impact of typhoons and other natural disasters on power system operation. Given this background, a typhoon wind circle model considering the temporal and spatial distribution of typhoons is established to obtain the input wind speed of the wind farm at first. Second, based on the initial input wind speed of wind farms, a typical scenario set of wind power output is constructed to reflect its fluctuation and uncertainty. Next, an optimal coordinated dispatching model of a multi-source power system with wind, hydro and thermal power based on the conditional value at risk (CVaR) is established with the target of minimizing the total cost of system dispatching, in which a 72 h pre-dispatching mode is studied to optimize the system operation for 72 h on the day before, on and after the typhoon. Finally, a revised 24-node transmission network system in a coastal area with typhoon is served as a case for demonstrating the effectiveness of the proposed model, and the simulation result shows that the proposed model could take the advantages of the coordination and complementarity of multi-sources power system and decrease the total cost of system dispatching and improve the renewable energy consumption level.

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Section: Research Status About Dispatching Strategies For Power Systems To Deal With Typhoonmentioning

confidence: 99%

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Qian¹,

Chen²,

Chen

et al. 2021

Energies

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“…From Table 1, the degree of modelling required for each of the threats mentioned in Table 1 is different. To model the impact of wind storms on power poles, a sequential Monte–Carlo analysis is performed in [56, 57]. This method uses fragility curves, which map the probability of failure of a component to the magnitude of the threat as shown in Fig.…”

Section: Challenges and Future Research Needsmentioning

confidence: 99%

Resilience of the electric distribution systems: concepts, classification, assessment, challenges, and research needs

Kandaperumal¹,

Srivastava²

2020

IET Smart Grid

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Distribution system resilience is an emerging topic of interest given an increasing number of extreme events and adverse impacts on the power grid (e.g. Hurricane Maria and Ukraine cyber-attack). The concept of resilience poses serious challenges to the power system research community given varied definitions and multivariate factors affecting resilience. The ability of nature or malicious actors to disrupt critical services is a real threat to the life of our citizens, national assets and the security of a nation. Many examples of such events have been documented over the years. Promising research in this area has been in progress focused on the quantification and in enabling resilience of the distribution system. The objective of this study is to provide a detailed overview of distribution system resilience, the classification, assessment, metrics for measuring resilience, possible methods for enabling resilience, and the associated challenges. A new multi-dimensional and multi-temporal resilience assessment framework is introduced along with a research roadmap outlining the future of resilience to help the reader conceptualise the theories and research gaps in the area of distribution system cyber-physical resilience.

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“…The articles of Hu, Li, Guo, van Gelder, and Shi (), Avelino and Dall'ebra (), Ouyang, Tian, Wang, Hong, and Mao (), and Trakas () examine spatial impact assessment in interconnected systems. Hu et al.…”

Section: Key Steps and Complexities In Spatial Risk Analysismentioning

confidence: 99%

“…The article of Trakas (2019) presents an approach for online risk analysis for evaluating the spatiotemporal impacts of extreme events on power networks and assessing system resilience. To capture the spatial risk on the system, the article introduces a severity risk index to capture probability and impacts on different network branches during an extreme event.…”

Section: Stage 2: Predictive Modeling and Forecastingmentioning

confidence: 99%