Enhancing Power Grid Resilience Through an IEC61850-Based EV-Assisted Load Restoration
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Hossain, MJ
Taghizadeh, Seyedfoad
Konstantinou, Georgios
Manbachi, Moein
Dehghanian, Payman
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Abstract
Contrary to reliability analysis in power systems with the main mission on safely and securely withstanding credible contingencies in day-to-day operations, resilience assessments are centered on high-impact low probability (HILP) events in the grid. This paper proposes an autonomous load restoration architecture founded on IEC 61850-8-1 GOOSE communication protocol to engender an enhanced feeder-level resilience in active power distribution grids. Different from the past research on outage management solutions, most of which 1) are not resilience-driven; 2) are reactive solutions to local single-fault events; and 3) do not address both network built-in flexibilities and flexible resources. The proposed solution harnesses 1) the imported power and flexibility from the neighboring networks; 2) distributed energy resources; and 3) vehicle to grid capacity of electric vehicles aggregations to enhance the feeder-level resourcefulness for agile response and recovery. Through real-time self-reconfiguration strategies, the suggested solution is capable of coping both single and subsequent outage events, and will engender a heightened resilience before and during the contingency period. Moreover, a resilience evaluation framework, which quantifies the contribution of all resources involved in service restoration, is developed. Real-time performance of the designed architecture is evaluated on a real-world power distribution grid using a real-time hardware-in-the-loop platform. Numerical case studies through a number of diverse scenarios demonstrate the efficacy of the proposed restoration solution in practicing an enhanced resilience in power distribution systems in response to HILP scenarios.
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IEEE Transactions on Industrial Informatics
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16
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3
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© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Engineering
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Automation & Control Systems
Engineering, Industrial
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Jamborsalamati, P; Hossain, MJ; Taghizadeh, S; Konstantinou, G; Manbachi, M; Dehghanian, P, Enhancing Power Grid Resilience Through an IEC61850-Based EV-Assisted Load Restoration, IEEE Transactions on Industrial Informatics, 2020, 16 (3), pp. 1799-1810