Investment Optimization to Improve Power System Resilience

Pierre, Brian J.; Arguello, Bryan; Staid, Andrea; Guttromson, Ross

doi:10.1109/pmaps.2018.8440467

Cited by 13 publications

(12 citation statements)

References 14 publications

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“…Planning-based resilience enhancement methods have also been widely studied [3], [5], [6], [32], [33], [46], [51], [52], [59], [73], [83], [84], [86], [108]- [114], [118], [121]- [123]. These methods are classified as follows: (i) undergrounding distribution and transmission lines, building redundant transmission/distribution routes, and upgrading poles and other structure with stronger materials [43], [85], [90], [95], [96], [105], [124]; (ii) elevating substation and facilities, adding backup generators, and installing remote control switches [91], [92]; (iii) enhancing vegetation management [125], [126]; (iv) determining optimal locations and sizes of battery energy storage units and renewable energy sources (RES) [75], [103], optimal placement of separation relays, and optimal allocation of black start resources; and (v) developing protocols for encrypted communication of critical data [80]; and integrated electricity and natural gas transportation system planning [66], [127].…”

Section: B Planning-based Resilience Enhancement Methodsmentioning

confidence: 99%

“…Typically, vulnerabilities of system components depend on both intensities and directions of weather events. In [77], [78], [83], a selected number of contingencies have been assumed using weather intensity-based vulnerabilities of power system components whereas [56], [84], [85], [92] have selected the number of contingencies based on considering vulnerabilities of system components positioned in the direction of extreme weather events. On the other hand, system vulnerability depends on the failure of system components.…”

Section: Contingency-based Methodsmentioning

confidence: 99%

“…Several optimization methods have been introduced in the literature for power system resilience evaluation and enhancement with different objective functions. The optimization methods include deterministic methods such as linear programming [64], mixed-integer linear programming (MILP) [41], [47], [56], [57], [66], [70], [74], [82], [84], [89], [90], [93], [94], [97]- [100], [102], [104]- [106], [127], mixed-integer nonlinear programming (MILNP) [45], and mixed-integer second-order cone programming (MISCOP) [75], [88], [107], [116]; stochastic methods such as stochastic mixed-integer linear programming [91], [92], [96], [102] and stochastic mixed-integer nonlinear programming [61], [62], [83]; and population-based intelligent search methods such as genetic algorithm (GA) [51]. The objective functions can be categorized into resilience-based and multiobjective.…”

Section: Optimization Methods For Resilience Evaluation and Enhmentioning

confidence: 99%

“…Objective functions focusing on survivability and recovery of systems have been considered in [107]. Several objective functions have been proposed focusing on minimization of priority-based load curtailments in [41], [74], [77], [83], [93] and maximization of load restoration in [47], [57], [94], [99], [100]. In priority-based load curtailment, the non-critical loads are curtailed before curtailing the critical loads.…”

Section: A Resilience-based Objective Functionsmentioning

confidence: 99%

“…The most well-known models to allocate failed elements are the random outage methods, scenario-based methods, and fragility curves [75], [117]. In random outage methods, several elements are selected randomly to be in the down state without considering a forecasted event scenario or real-time event scenario [67], [83], [118]. A scenariobased method implements either a historical real event or a simulated event on a geographical map to determine the impacted points on a real power system [76], [83], [106].…”

Section: ) Component-level Failure Modelsmentioning

confidence: 99%

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Power System Resilience: Current Practices, Challenges, and Future Directions

et al. 2020

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The frequency of extreme events (e.g., hurricanes, earthquakes, and floods) and man-made attacks (cyber and physical attacks) has increased dramatically in recent years. These events have severely impacted power systems ranging from long outage times to major equipment (e.g., substations, transmission lines, and power plants) destructions. This calls for developing control and operation methods and planning strategies to improve grid resilience against such events. The first step toward this goal is to develop resilience metrics and evaluation methods to compare planning and operation alternatives and to provide techno-economic justifications for resilience enhancement. Although several power system resilience definitions, metrics, and evaluation methods have been proposed in the literature, they have not been universally accepted or standardized. This paper provides a comprehensive and critical review of current practices of power system resilience metrics and evaluation methods and discusses future directions and recommendations to contribute to the development of universally accepted and standardized definitions, metrics, evaluation methods, and enhancement strategies. This paper thoroughly examines the consensus on the power system resilience concept provided by different organizations and scholars and existing and currently practiced resilience enhancement methods. Research gaps, associated challenges, and potential solutions to existing limitations are also provided. INDEX TERMS Critical review, extreme events, power system resilience, resilience definitions, metrics, and enhancement strategies. MOHAMMED BENIDRIS (Member, IEEE) received the B.Sc. and M.Sc. degrees in electrical engineering from the

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Section: B Planning-based Resilience Enhancement Methodsmentioning

confidence: 99%

Section: Contingency-based Methodsmentioning

confidence: 99%

Section: Optimization Methods For Resilience Evaluation and Enhmentioning

confidence: 99%

Section: A Resilience-based Objective Functionsmentioning

confidence: 99%

Section: ) Component-level Failure Modelsmentioning

confidence: 99%

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Power System Resilience: Current Practices, Challenges, and Future Directions

et al. 2020

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Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Amini

Zadeh

Rostami

et al. 2023

IET Renewable Power Gen

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Secure energy providing is a critical feature of sustainable societies, where this subject requires reliable operation of generation, transmission and distribution infrastructures. In order to achieve the mentioned goal, the influence of uncertainties should be analyzed using appropriate methods, criteria and tools. The high‐impact low‐probability (HILP) events are special uncertainties that can affect the safe operation and lead to irreparable damages. This paper presents a comprehensive review of resilience in electrical energy systems consisting of fundamental concepts and definitions, challenges, enhancements and future proceedings. In this regard, a resilience evaluation framework is designed first in which all the necessary actions for a resilience study are defined. In the next step, various HILP events are introduced and then the resilience concept is defined accurately and related curves are investigated. Afterwards, the resilience assessment indices and quantitative measures are described and their details and applications are precisely explained. As well, the resilience enhancement strategies are discussed from short‐term and long‐term perspectives and eventually, resilience‐based objective functions and optimization approaches are classified in the last part. It is noteworthy that the main research gaps are also clarified according to the reviewed papers and further suggestions are expressed to cope with the declared problems.

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Resilient Control Systems—Basis, Benchmarking and Benefit

et al. 2021

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Because the research area of resilient control systems was pioneered during the last decade, the basis and benchmarking of resilience have continued to mature to achieve what has long been understood as the ultimate benefit of resilience. However, the automation "ship" has long since sailed on society's dependence on digital control systems as the basis for all our industries and even the appliances in our homes. While these systems have been in general very reliable and provided for many human and operational efficiencies, the designs were not built on a framework that recognizes and adapts to potential debilitating failures from events such as cyber-attack. In this review, we cover a rapidly maturing framework based upon a disturbance and impact resilience evaluation process that considers both the methodologies for assessing resilience and also how key design principals must be applied within distributed control systems to achieve resilience.

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Investment Optimization to Improve Power System Resilience

Cited by 13 publications

References 14 publications

Power System Resilience: Current Practices, Challenges, and Future Directions

Power System Resilience: Current Practices, Challenges, and Future Directions

Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings

Resilient Control Systems—Basis, Benchmarking and Benefit

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