A resilience-based architecture for joint distributed energy resources allocation and hourly network reconfiguration

Kianmehr, E., Nikkhah, S., Vahidinasab, V. ORCID: 0000-0002-0779-8727, Giaouris, D. and Taylor, P.C., 2019. A resilience-based architecture for joint distributed energy resources allocation and hourly network reconfiguration. IEEE Transactions on Industrial Informatics, 15 (10), pp. 5444-5455. ISSN 1551-3203

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As a result of the recent innovations in the deployment of plug-in electric vehicles (PEVs), this technology can play an important role as a distributed energy resource in supplying the system demand of the power systems of the future. This paper introduces a methodology for optimal coordinated allocation of wind farms (WFs), energy storage systems, and PEV's parking lots considering demand response programs and hourly distribution network reconfiguration in normal and severe contingency conditions. In the proposed methodology, the participation of different types of loads is also examined. The objective function is to minimize the total costs of purchased power from the upstream network and WFs, along with the costs of commercial/industrial loads flexibility and residential loads curtailment. To validate the performance of the proposed methodology, it is implemented on the well-known IEEE 33-bus distribution test system. The simulation results validate the feasibility and effectiveness of the proposed approach.

Item Type: Journal article
Publication Title: IEEE Transactions on Industrial Informatics
Creators: Kianmehr, E., Nikkhah, S., Vahidinasab, V., Giaouris, D. and Taylor, P.C.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: October 2019
Volume: 15
Number: 10
ISSN: 1551-3203
Rights: © 2019 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.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 09 Feb 2023 09:34
Last Modified: 09 Feb 2023 09:34
URI: https://irep.ntu.ac.uk/id/eprint/48206

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