Motivating the Use of Dynamic Line Ratings to Mitigate the Risk of Wildfire Ignition

Tandon, S.; Grijalva, Santiago; Molzahn, Daniel K.

doi:10.1109/peci51586.2021.9435252

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…Meanwhile, Wischkaemper et al [24] introduced an experimental approach to forecast the risks of wildfires caused by failing lines and apparatus. Based on such thermal models of wildfire risks, the optimal power shutdown problem (OPSP) [21,[25][26][27] was formulated by combining the optimal power flow and the dispatch problems while taking into account power line shutdowns to reduce the threat of wildfires. Several formulations of OPSP are seen in the literature.…”

Section: Nomenclaturementioning

confidence: 99%

Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface

et al. 2023

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Section: Nomenclaturementioning

confidence: 99%

Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface

et al. 2023

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“…The paper's purpose is not to introduce any new models since there are already a wide number available in the literature covering the impact of weather on many different power flow models. Examples include generator maximum MW output, transmission line ambient-adjusted ratings [27], dynamic transmission line ratings [28], and temperature dependent transmission line resistance [29]. Rather here just six somewhat generic models are used, with all modeling the impact of various weather values on the maximum real power output values for electric generators.…”

Section: Figure 3: Generators and Weather Stations In The Columbia Ri...mentioning

confidence: 99%

An Approach for the Direct Inclusion of Weather Information in the Power Flow

Overbye,

Safdarian,

Trinh

et al. 2023

Proceedings of the Annual Hawaii International Conference on System Sciences

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While it is widely recognized that weather impacts the power flow, historically weather information has only been implicitly included. This paper presents an approach for the direct inclusion of weather information in the power flow. Key issues addressed by the paper include the availability of weather information, the mapping of weather information to electric grid components, a flexible and extensible modeling approach for relating weather values to the power flow models, and the visualization of the weather impacts. The approach is demonstrated on several electric grids ranging in size from 7000 to 82,000 buses using weather data over several different years.

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“…Some recent works [26]- [28] used the same wildfire progression model to investigate select operation strategies, including network reconfiguration and the deployment of distributed generation and energy storage systems, to improve the distribution system resilience during such events. In [29], the authors integrated the DLR of transmission lines into the optimal power flow model to reduce the risk of wildfire ignitions. An attacker-defender approach for the optimal operation of a transmission network subjected to the risks of a progressing wildfire was proposed in [30].…”

Section: B Literature Reviewmentioning

confidence: 99%

Unbalanced Distribution System Expansion and Energy Storage Planning Under Wildfire Risk

Bertoletti,

Campos do Prado

2023

IEEE Access

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Reducing the risks of wildfire ignition has become a major concern for many electric utilities. In recent years, they have relied on Public Safety Power Shutoff (PSPS) programs to de-energize select power lines to prevent wildfire risks. A cost-effective solution for the power distribution system expansion planning in regions with increased wildfire risk could be achieved by jointly combining new distribution lines and energy storage systems (ESSs) while taking into account the overhead distribution lines availability given the increasing number of PSPS events. This paper proposes a two-stage stochastic optimization approach for the expansion planning of a power distribution system under wildfire risk with a compliance check on unbalanced power flow and system operation limits. The resulting model is a mixed-integer linear programming (MILP) optimization problem. The proposed model is validated on a modified version of the IEEE 13-node system and the the IEEE 123-node system. Simulation experiments and sensitivity analysis are performed to validate the effectiveness of the proposed formulation using different High

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Motivating the Use of Dynamic Line Ratings to Mitigate the Risk of Wildfire Ignition

Cited by 7 publications

References 14 publications

Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface

Optimal design of microgrids to improve wildfire resilience for vulnerable communities at the wildland-urban interface

An Approach for the Direct Inclusion of Weather Information in the Power Flow

Unbalanced Distribution System Expansion and Energy Storage Planning Under Wildfire Risk

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