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Journal ArticleDOI

Networked Microgrids for Enhancing the Power System Resilience

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TLDR
It is concluded that networked microgrids in particular provide a universal solution for improving the resilience against extreme events in Smart Cities.
Abstract
This paper focuses on the role of networked microgrids as distributed systems for enhancing the power system resilience against extreme events. Resilience is an intrinsically complex property which requires deep understanding of microgrid operation in order to respond effectively in emergency conditions. The paper first introduces the definition and offers a generic framework for analyzing the power system resilience. The notion that large power systems can achieve a higher level of resilience through the deployment of networked microgrids is discussed in detail. In particular, the management of networked microgrids for riding through extreme events is analyzed. In addition, the merits of advanced information and communication technologies (ICTs) in microgrid-based distributed systems that can support the power system resilience are presented. The paper also points out the challenges for expanding the role of distributed systems and concludes that networked microgrids in particular provide a universal solution for improving the resilience against extreme events in Smart Cities.

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Citations
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Journal ArticleDOI

Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience

TL;DR: The strategies utilized by microgrids for enhancing their resilience during major outage events are analyzed, which include proactive scheduling, outage management, feasible islanding, and advanced operation strategies for reducing the impact of major disruptions.
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Optimal Scheduling of an Isolated Microgrid with Battery Storage Considering Load and Renewable Generation Uncertainties

TL;DR: This paper proposes a new optimal scheduling mode for minimizing the operating costs of an isolated microgrid (MG) by using chance-constrained programming and significantly exceeds the commonly used hybrid intelligent algorithm with much better and more stable optimization results and significantly reduced calculation times.
Journal ArticleDOI

Integrating renewable sources into energy system for smart city as a sagacious strategy towards clean and sustainable process

TL;DR: In this article, the main components and roles of renewable energy resources (such as solar, wind, geothermal, hydropower, ocean, and biofuels) for the smart city were fully introduced.
Journal ArticleDOI

Toward a Consensus on the Definition and Taxonomy of Power System Resilience

TL;DR: This paper aims to describe and classify different high-impact rare (HR) events, provide a more technical definition of power system resilience, and discuss linkages between resilience and other well-established concepts, such as security and reliability.
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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

TL;DR: A hybrid algorithm is put forward by combining a real/integer-coded JAYA algorithm and the branch and bound algorithm (BBA) to address the upper- and lower- level sub-problems, and the bi-level model is eventually solved through alternate iterations between the two levels.
References
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Journal ArticleDOI

State of the Art in Research on Microgrids: A Review

TL;DR: This paper presents a review of issues concerning microgrid issues and provides an account of research in areas related to microgrids, including distributed generation, microgrid value propositions, applications of power electronics, economic issues, micro grid operation and control, micro grids clusters, and protection and communications issues.
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Research on Resilience of Power Systems Under Natural Disasters—A Review

TL;DR: In this paper, the authors consolidate and review the progress of the research field towards methods and tools of forecasting natural disaster related power system disturbances, hardening and pre-storm operations, and restoration models.
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Complexity and robustness

TL;DR: This paper contrasts HOT with alternative perspectives on complexity, drawing on real-world examples and also model systems, particularly those from self-organized criticality.
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Generating Scenario Trees for Multistage Decision Problems

TL;DR: This paper presents a method based on nonlinear programming that can be used to generate a limited number of discrete outcomes that satisfy specified statistical properties, and argues that what are the relevant properties, will be problem dependent.
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