AWR: Anticipate, Withstand, and Recover Resilience Metric for Operational and Planning Decision Support in Electric Distribution System

Kandaperumal, Gowtham; Pandey, Shikhar; Srivastava, Anurag K.

doi:10.1109/tsg.2021.3119508

Cited by 27 publications

(5 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Constraints (4) -( 5) are resource constraints for road repair and power equipment repair respectively, that is, the total resources consumed do not exceed the sum of resources of each player. Constraint (6) indicates that the pre-disaster cost can only be applied after a road is restored. Constraint (7) represents the total power loss load of the system.…”

Section: Cooperative Game Model For Post-disaster Emergency Repair Of...mentioning

confidence: 99%

“…Lagrange relaxation is A kind of efficient method for solving integer linear programming. It can be constructed as the characteristic function of Lagrange relaxation by multiplying (6)…”

Section: Solution Of Post-disaster Restoration Modelmentioning

confidence: 99%

“…The current state of research in the field has seen a significant focus on enhancing power grid resilience before extreme disasters and on post-disaster fault recovery [4]. It is important to distinguish that resilience improvement and resilience planning predominantly center around reinforcing and constructing power grids before disasters occur [5][6][7]. Conversely, fault recovery concentrates on utilizing undamaged power lines and equipment to achieve maximum load recovery through optimization of power network topology and related strategies [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Game study of power system reconstruction planning after extreme disaster

Jin,

Zhou,

Feng

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

Following extensive damage incurred by severe natural disasters, the imperative arises to efficiently coordinate and mobilize diverse emergency repair resources and personnel to swiftly reinstate the power system. This research paper addresses the problem of power system recovery post-disaster, while also incorporating the intricate aspect of road recovery, through the formulation of a multi-party cooperative game model. A solution methodology founded upon Lagrange relaxation is presented, allowing for the systematic division of the complex primary problem into two sub-game problems, each of which is optimized independently. The efficacy of the proposed method is rigorously assessed through the examination of various examples with differing scales and simulations that simulate power system recovery following an earthquake in Yunnan province. The results affirm that the method can swiftly provide exceptional post-disaster recovery deployment strategies.

show abstract

Section: Cooperative Game Model For Post-disaster Emergency Repair Of...mentioning

confidence: 99%

“…Lagrange relaxation is A kind of efficient method for solving integer linear programming. It can be constructed as the characteristic function of Lagrange relaxation by multiplying (6)…”

Section: Solution Of Post-disaster Restoration Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Game study of power system reconstruction planning after extreme disaster

Jin,

Zhou,

Feng

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

show abstract

“…Multiple resiliency indices with varying details exist in the literature to identify the implications of these events [31]. We utilize the indices given in our earlier research [32] (not explicitly shown here for brevity), which relies on (i) the topological robustness of the PDS, (ii) the extent of the failure of the system given prior experience, (iii) the capacity to serve CLs in the face of additional failures, (iv) CL demand actually served, and (v) resource available from DGs and BSDs. If the forecast is beyond a specific CI, and the resiliency score as a part of performance analysis tool within the RMS deteriorates, the proposed two-stage methodology will be automatically invoked, and the SA signal is sent to the operator to remain alert.…”

Section: A the Proactive Decision-making Frameworkmentioning

confidence: 99%

Pre-Event Two-Stage Proactive Control for Enhanced Distribution System Resiliency

Majumder

Kandaperumal²,

Pandey³

et al. 2022

IEEE Access

Self Cite

View full text Add to dashboard Cite

Recent advancements in prediction technologies have motivated the power distribution utilities to actively utilize forecasts to minimize the impact of high-impact low frequency (HILF) events. Accurate forecasting coupled with the past operational experiences potentially enables pre-event control, aiming to minimize the impact on the system in a network with finitely large numbers of automatic and manually operated control devices. Impacts to the critical loads (CLs) are minimized when the network is appropriately reconfigured before the event strikes. However, predictions are not perfectly accurate, and given limited accuracy with ever-changing weather forecasts, control actions are required to be constantly updated until the event has passed through. Once the events are predicted with high enough confidence and the necessary reconfiguration strategy has been identified, the manually operable switches must be configured significantly ahead of event landfall to ensure the operational crews' safe return from potentially hazardous zones. Given limited resource availability and requisite manual switching operations, some loads would also have to be deenergized, which could be alleviated if those loads remain connected through remotely operable switches until minutes before the event makes the landfall. The proposed twostage control framework with a necessary mathematical formulation facilitates the same. Furthermore, the proposed framework facilitates continuous corrective action based on available lead time. The developed proactive control framework is demonstrated using a modified IEEE 123-Node system model and a realworld isolated µ-grid based on the Cordova Electric Cooperative system with superior performance results.

show abstract

“…The term "resilience" refers to the system's capacity to swiftly return to its inherent characteristics following any form of disturbance or disruption. So, resilience is contingent upon several factors, including the size of the distribution system, the diversity of resources, the network structure, geographical placement, weather conditions, types of loads, geopolitical concerns, and interconnections with other crucial infrastructure [9]. Considering these factors, it is essential to identify, develop, and implement strategies that effectively counteract the impacts of extreme disasters and prolonged power outages on power distribution systems.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances

Kasimalla,

Park,

Zaboli

et al. 2024

Sustainability

View full text Add to dashboard Cite

Natural disasters pose significant threats to power distribution systems, intensified by the increasing impacts of climate changes. Resilience-enhancement strategies are crucial in mitigating the resulting social and economic damages. Hence, this review paper presents a comprehensive exploration of weather management strategies, augmented by recent advancements in machine learning algorithms, to show a sustainable resilience assessment. By addressing the unique challenges posed by diverse weather conditions, we propose flexible and intelligent solutions to navigate disaster complications effectively. This proposition emphasizes sustainable practices that not only address immediate disaster complications, but also prioritize long-term resilience and adaptability. Furthermore, the focus extends to mitigation strategies and microgrid technologies adapted to distribution systems. Through statistical analysis and mathematical formulations, we highlight the critical role of these advancements in mitigating severe weather conditions and ensuring the system reliability.

show abstract

AWR: Anticipate, Withstand, and Recover Resilience Metric for Operational and Planning Decision Support in Electric Distribution System

Cited by 27 publications

References 34 publications

Game study of power system reconstruction planning after extreme disaster

Game study of power system reconstruction planning after extreme disaster

Pre-Event Two-Stage Proactive Control for Enhanced Distribution System Resiliency

An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current Advances

Contact Info

Product

Resources

About