Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids

Chanda, Sayonsom; Srivastava, Anurag K.

doi:10.1109/tsg.2016.2561303

Cited by 232 publications

(88 citation statements)

References 32 publications

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“…Watson et al [10] propose to measure resilience with respect to probability and impact of adverse incidents. In a similar but more concrete approach Chanda and Srivastava [3] apply percolation theory to a topological graph model of the system and use decision making to quantify the results. However, probability and impact based metrics are generally unable to consider the time dimension of the recovery potential.…”

Section: Resilience Metric Requirementsmentioning

confidence: 99%

“…Terms like robustness, reliability, availability and even security are often used interchangeably with resilience [1]. Recent efforts to explore the definition of resilience for cyber-physical systems in general [2] and power grids in particular [1], [3] were made with the goal to achieve an understanding about resilience that encompasses all aspects of smart grids. However, research on descriptive metrics to quantify resilience cannot keep up with the requirements.…”

Section: Introductionmentioning

confidence: 99%

“…The framework is developed to consider the relationships between various performance measures and challenges within smart grids and related critical infrastructures [4]; something that is most often ignored in existing work. The metric is evaluated in a microgrid use case which is of high relevance as microgrids gain popularity as the go-to technology for grid resilience [5], [3]. The evaluation results show that the metric itself is easy to apply while the underlying framework can be used to identify dependencies and guide system improvements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A cyber-physical resilience metric for smart grids

Friedberg

McLaughlin

Smith

2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Abstract-The need for novel smart grid technologies is often motivated by the need for more resilient power grids. While the number of technologies that claim to increase grid resilience is growing, there is a lack of widely accepted metrics to measure the resilience of smart grid installations. The design of effective resilience metrics is made difficult by the diversity of challenges and performance measures that a smart grid is subject to. This work identifies the necessary attributes for a complete and effective resilience metric and shows that previous work falls short. It then proposes a novel approach to measure resilience that focuses on the complex interdependencies between challenges and performances in smart grids.

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Section: Resilience Metric Requirementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A cyber-physical resilience metric for smart grids

Friedberg

McLaughlin

Smith

2017

2017 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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“…Some approaches emphasize on resilience driven, adaptive restoration strategies [13], [14]. However, similar to [15], these methods are reactive, i.e. they focus on responding to an event rather than the quantification of resilience for possible future HILP events.…”

Section: Introductionmentioning

confidence: 99%

Risk-Based Probabilistic Quantification of Power Distribution System Operational Resilience

Poudel

Dubey

Bose

2020

IEEE Systems Journal

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It is of growing concern to ensure the resilience in electricity infrastructure systems to extreme weather events with the help of appropriate hardening measures and new operational procedures. An effective mitigation strategy requires a quantitative metric for resilience that can not only model the impacts of the unseen catastrophic events for complex electric power distribution networks but also evaluate the potential improvements offered by different planning measures. In this paper, we propose probabilistic metrics to quantify the operational resilience of the electric power distribution systems to highimpact low-probability (HILP) events. Specifically, we define two risk-based measures: Value-at-Risk (V aRα) and Conditional Value-at-Risk (CV aRα) that measure resilience as the maximum loss of energy and conditional expectation of a loss of energy, respectively for the events beyond a prespecified risk threshold, α. Next, we present a simulation-based framework to evaluate the proposed resilience metrics for different weather scenarios with the help of modified IEEE 37-bus and IEEE 123-bus system. The simulation approach is also extended to evaluate the impacts of different planning measures on the proposed resilience metrics. Her research focus is on the analysis, operation, and planning of the modern power distribution systems for enhanced service quality and grid resilience. At WSU, her lab focuses on developing new planning and operational tools for the current and future power distribution systems that help in effective integration of distributed energy resources and responsive loads.Anjan Bose (LF'89) received the B. Tech. (Hons.) degree from the

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“…A stand-alone multi-microgrid (MMG) system where several microgrids (MGs) are interconnected has gained more attention recently [1][2][3][4][5]. Interconnecting multiple stand-alone MG systems can bring the economic benefit due to the ability of sharing surplus power in each MG.…”

Section: Introductionmentioning

confidence: 99%

Multi-Frequency Control in a Stand-Alone Multi-Microgrid System Using a Back-To-Back Converter

2017

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Abstract:A stand-alone multi-microgrid (MMG) system can be formed by connecting multiple stand-alone microgrids (MGs). In the stand-alone MMG system where the frequencies of each MG system are different, a back-to-back (BTB) converter can be used for interconnecting the adjacent MG system. The frequency control performance of the MMG system can be improved by designing the suitable controller of the BTB converter. This study proposes a multi-frequency control in the BTB converter to improve the performance of frequency regulation in the MMG system. Autonomous power sharing between each MG system is achieved by using the proposed multi-frequency control. The stand-alone MMG system where two stand-alone MG systems with different nominal frequencies are interconnected using the BTB converter is simulated in this study to show the feasibility of the proposed multi-frequency controller. Each stand-alone MG system consists of an inverter-based distributed generator (DG) that uses a grid-forming converter with a conventional frequency droop controller. The inverter-based DG is responsible for the primary frequency control in each MG system. To show the effectiveness of the proposed multi-frequency control, a comparison study of the multi-frequency control and the single frequency control is presented in this study. Simulation results show that the system stability can be improved by using the proposed multi-frequency controller.

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Defining and Enabling Resiliency of Electric Distribution Systems With Multiple Microgrids

Cited by 232 publications

References 32 publications

A cyber-physical resilience metric for smart grids

A cyber-physical resilience metric for smart grids

Risk-Based Probabilistic Quantification of Power Distribution System Operational Resilience

Multi-Frequency Control in a Stand-Alone Multi-Microgrid System Using a Back-To-Back Converter

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