Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement

Bhusal, Narayan; Gautam, Mukesh; Benidris, Mohammed

doi:10.1109/pesgm41954.2020.9281558

Cited by 12 publications

(11 citation statements)

References 18 publications

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“…Che and Shahidehpour [36] propose a strategy that coordinates MEG dispatch with microgrid formation and load switching sequences to restore critical loads. Bhusal et al [51] formulate a two-stage framework that determines the minimum MER capacity to perform service restoration when combined with network reconfiguration. Wang et al [44] describe a plan for an isolated distribution system to survive under limited fossil fuel through the use of MERs, demand response, and renewable energy generation.…”

Section: Mobile Energy Resources For Resilience Enhancementmentioning

confidence: 99%

“…However, balanced operation is not necessary a valid assumption for distribution networks, which is why some researchers extend the work to consider more realistic unbalanced three-phase systems. For instance, Gao et al [33] and Bhusal et al [51] perform unbalanced three-phase power flow calculations using OpenDSS.…”

Section: Power Grid Operational Constraintsmentioning

confidence: 99%

“…Multiple studies use Dijkstra's shortest path algorithm to compute the shortest path from an MER staging location or initial position to the restoration area, which is used to find the optimal routing of the MER [27,32,35,39,41,43,51]. A shorter path corresponds to a shorter traveling time, which allows MERs to serve loads for a longer amount of time, increasing system resilience.…”

Section: Transportation Systemmentioning

confidence: 99%

“…Buses with the shortest path from the MER's initial locations are prioritized for restoration. Bhusal et al [51] use Dijkstra's algorithm to determine the optimal routes with which to reach isolated areas, and the resulting travel times are incorporated with a sequential Monte Carlo simulation-based approach to determine the optimal size of MERs for service restoration and reliability enhancement.…”

Section: Transportation Systemmentioning

confidence: 99%

“…A more thorough approach is considered in [25], where 10,000 Monte Carlo simulations are conducted to evaluate the effectiveness of their proposed strategy. Similarly, Bhusal et al [51] used sequential Monte Carlo simulations to model potential outages within the distribution system based on reliability and historical outage data. However, this work considered reliability, not resilience, so the work may not extend to large-scale, long-duration outages.…”

Section: Resilience Evaluation and Quantificationmentioning

confidence: 99%

See 4 more Smart Citations

Application of Mobile Energy Storage for Enhancing Power Grid Resilience: A Review

2021

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Natural disasters can lead to large-scale power outages, affecting critical infrastructure and causing social and economic damages. These events are exacerbated by climate change, which increases their frequency and magnitude. Improving power grid resilience can help mitigate the damages caused by these events. Mobile energy storage systems, classified as truck-mounted or towable battery storage systems, have recently been considered to enhance distribution grid resilience by providing localized support to critical loads during an outage. Compared to stationary batteries and other energy storage systems, their mobility provides operational flexibility to support geographically dispersed loads across an outage area. This paper provides a comprehensive and critical review of academic literature on mobile energy storage for power system resilience enhancement. As mobile energy storage is often coupled with mobile emergency generators or electric buses, those technologies are also considered in the review. Allocation of these resources for power grid resilience enhancement requires modeling of both the transportation system constraints and the power grid operational constraints. These aspects are discussed, along with a discussion on the cost–benefit analysis of mobile energy resources. The paper concludes by presenting research gaps, associated challenges, and potential future directions to address these challenges.

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Section: Mobile Energy Resources For Resilience Enhancementmentioning

confidence: 99%

Section: Power Grid Operational Constraintsmentioning

confidence: 99%

Section: Transportation Systemmentioning

confidence: 99%

Section: Transportation Systemmentioning

confidence: 99%

Section: Resilience Evaluation and Quantificationmentioning

confidence: 99%

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Application of Mobile Energy Storage for Enhancing Power Grid Resilience: A Review

2021

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Optimal Service Restoration and Adaptive Switching of Tie Switches Method of Distributed Self-healing Control in Distribution Systems

Chen

Liu

Cao

et al. 2023

J. Electr. Eng. Technol.

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Microgrids and Resilience: A Review

Hamidieh

Ghassemi

2022

IEEE Access

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Supervised learning methods have been found to exhibit inductive biases favoring simpler features. When such features are spuriously correlated with the label, this can result in suboptimal performance on minority subgroups. Despite the growing popularity of methods which learn from unlabeled data, the extent to which these representations encode spurious features is unclear. In this work, we explore the impact of spurious features on Self-Supervised Learning (SSL) for visual representation learning. We first empirically show that commonly used augmentations in SSL can cause undesired invariances in the image space, and illustrate this with a simple example. We further show that classical approaches in combating spurious correlations, such as dataset re-sampling during SSL, do not consistently lead to invariant representations. Motivated by these findings, we propose LATETVG to remove spurious information from these representations during pretraining, by regularizing later layers of the encoder via pruning. We find that our method produces representations which outperform the baselines on several benchmarks, without the need for group or label information during SSL.

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Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement

Cited by 12 publications

References 18 publications

Application of Mobile Energy Storage for Enhancing Power Grid Resilience: A Review

Application of Mobile Energy Storage for Enhancing Power Grid Resilience: A Review

Optimal Service Restoration and Adaptive Switching of Tie Switches Method of Distributed Self-healing Control in Distribution Systems

Microgrids and Resilience: A Review

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