Networked Microgrids for Enhancing the Power System Resilience

Li, Zhiyi; Shahidehpour, Mohammad; Aminifar, Farrokh; Alabdulwahab, Ahmed; Al‐Turki, Yusuf

doi:10.1109/jproc.2017.2685558

Cited by 508 publications

(249 citation statements)

References 91 publications

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“…Weighting factor of the th-level loads Number of load levels Set of loads with * = 1 ℒ ni Set of loads with non-integer value of * ℒ c1 , ℒ c2 , ℒ c3 Subsets of ℒ ni ℒ c4 Set of th-level loads with * = 0 II. INTRODUCTION XTREME events, including natural disasters, deliberate attacks, and accidents, can cause severe damages to distribution systems, resulting in major outages and significant losses [1]- [3]. Therefore, resilience against extreme events is viewed as an essential feature of smart distribution systems [4].…”

Section: Set Of Phases Of Busmentioning

confidence: 99%

Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems

Wang

et al. 2019

IEEE Trans. Smart Grid

210

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When a major outage occurs on a distribution system due to extreme events, microgrids, distributed generators, and other local resources can be used to restore critical loads and enhance resiliency. This paper proposes a decision-making method to determine the optimal restoration strategy coordinating multiple sources to serve critical loads after blackouts. The critical load restoration problem is solved by a two-stage method with the first stage deciding the post-restoration topology and the second stage determining the set of loads to be restored and the outputs of sources. In the second stage, the problem is formulated as a mixed-integer semidefinite program. The objective is maximizing the number of loads restored, weighted by their priority. The unbalanced three-phase power flow constraint and other operational constraints are considered. An iterative algorithm is proposed to deal with integer variables and can attain the global optimum of the critical load restoration problem by solving a few semidefinite programs in most cases. The effectiveness of the proposed method is validated by numerical simulation with the modified IEEE 13-node test feeder and the modified IEEE 123-node test feeder under plenty of scenarios. The results indicate that the optimal restoration strategy can be determined efficiently in most scenarios.

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Section: Set Of Phases Of Busmentioning

confidence: 99%

Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems

Wang

et al. 2019

IEEE Trans. Smart Grid

210

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“…During post-event grid-connected operational mode, a microgrid's surplus electricity generation capability can be used for providing a new reliability service aimed at accelerating the restoration of supply to neighboring customers [13]. Strategic installation of networked microgrids in weak regions of the power system has been shown to help with the post-disaster recovery of the utility grid [3] [14].…”

Section: A Motivation and Backgroundmentioning

confidence: 99%

Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies

et al. 2020

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Microgrids are being increasing deployed to improve the operational flexibility, resilience, coordinated-energy management capabilities, self-adequacy, and increased reliability of power systems. This strong market growth is also driven by advances in power electronics, improved control systems, and the rapidly falling price and increased adoption of distributed energy generation technologies, like solar photovoltaics and storage. In the event of grid outages, microgrids can provide a backup source of power; providing resilience to the critical loads; however, this requires that the microgrid itself is resilient to physical and cyber threats. Building highly resilient microgrids requires a methodological assessment of potential threats, identification of vulnerabilities, and design of mitigation strategies. This paper provides a comprehensive review of threats, vulnerabilities, and mitigation strategies and develops a definition for microgrid resilience. The paper also develops a methodology for designing resilient microgrids by considering how microgrid designers and site owners evaluate threats, vulnerabilities, and consequences and choose the microgrid features required to address these threats under different situations.

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“…As a locally controlled system including interconnected loads and distributed generations (DGs), a microgrid (MG) is capable of connecting and disconnecting from the traditional centralized grid to enable it to flexibly and efficiently operate in both grid-connected or island-modes, which has proven to be useful for improving the receptivity of distribution system to DERs and enhancing the efficiency of renewable energy utilization [5,6]. Compared with the grid-connected mode, an isolated MG (IMG) plays a unique role in guaranteeing the uninterruptible power supply of critical loads during extreme weather-related incidents such as thunderstorms, hurricanes, and blizzards [7]. In addition, it can also be used to supply power to users in remote areas that are inaccessible to the main power grid involving rural villages, islands, and deserts [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…The parameters of the BSS are as follows:max 7In this study, there are four charge-discharge positions and sixteen leasable batteries in BSS.…”

mentioning

confidence: 99%

Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing

et al. 2018

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Networked Microgrids for Enhancing the Power System Resilience

Cited by 508 publications

References 91 publications

Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems

Coordinating Multiple Sources for Service Restoration to Enhance Resilience of Distribution Systems

Microgrid resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies

Optimal scheduling of isolated microgrid with an electric vehicle battery swapping station in multi-stakeholder scenarios: A bi-level programming approach via real-time pricing

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