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Collaborative Load Management with Safety Assurance in Smart Grids

Published: 03 February 2017 Publication History

Abstract

Load shedding can combat the overload of a power grid that may jeopardize the grid’s safety. However, disconnected customers may be excessively inconvenienced or even endangered. With the emergence of demand-response based on cyber-enabled smart meters and appliances, customers may participate in solving the overload by curtailing their demands collaboratively such that no single customers will have to bear a disproportionate burden of reduced usage. However, compliance or commitment to curtailment requests by untrusted users is uncertain, which causes an important safety concern. This article proposes a two-phase load management scheme that (i) gives customers a chance to curtail their demands and correct a grid’s overload when there are no immediate safety concerns but (ii) falls back to load shedding to ensure safety once the grid enters a vulnerable state. Extensive simulations based on a 37-bus electrical grid and traces of real electrical load demonstrate the effectiveness of this scheme. In particular, if customers are, as expected, sufficiently committed to the load curtailment, overloads can be resolved in real time by collaborative and graceful usage degradation among them, thereby avoiding unpleasant load shedding.

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  • (2019)Assessing and mitigating impact of time delay attackProceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems10.1145/3302509.3311042(207-216)Online publication date: 16-Apr-2019

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      cover image ACM Transactions on Cyber-Physical Systems
      ACM Transactions on Cyber-Physical Systems  Volume 1, Issue 2
      April 2017
      214 pages
      ISSN:2378-962X
      EISSN:2378-9638
      DOI:10.1145/3015781
      • Editor:
      • Tei-Wei Kuo
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 03 February 2017
      Accepted: 01 December 2016
      Revised: 01 June 2016
      Received: 01 June 2015
      Published in TCPS Volume 1, Issue 2

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      Author Tags

      1. Smart grid
      2. contingency analysis
      3. demand response
      4. safety assessment

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      • Singapore Agency for Science, Technology and Research
      • Singapore's National Research Foundation

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      • (2019)Assessing and mitigating impact of time delay attackProceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems10.1145/3302509.3311042(207-216)Online publication date: 16-Apr-2019

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