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Title: Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids

Abstract

Modern power systems are facing increased risk of disasters that can cause extended outages. The presence of remote control switches (RCSs), distributed generators (DGs), and energy storage systems (ESS) provides both challenges and opportunities for developing post-fault service restoration methodologies. Inter-temporal constraints of DGs, ESS, and loads under cold load pickup (CLPU) conditions impose extra complexity on problem formulation and solution. In this paper, a multi-time step service restoration methodology is proposed to optimally generate a sequence of control actions for controllable switches, ESSs, and dispatchable DGs to assist the system operator with decision making. The restoration sequence is determined to minimize the unserved customers by energizing the system step by step without violating operational constraints at each time step. The proposed methodology is formulated as a mixed-integer linear programming (MILP) model and can adapt to various operation conditions. Furthermore, the proposed method is validated through several case studies that are performed on modified IEEE 13-node and IEEE 123-node test feeders.

Authors:
 [1];  [2];  [2];  [1]
  1. Texas A & M Univ., College Station, TX (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Electricity Delivery and Energy Reliability
OSTI Identifier:
1402493
Grant/Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
IEEE Transactions on Smart Grid
Additional Journal Information:
Journal Volume: PP; Journal Issue: 99; Journal ID: ISSN 1949-3053
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; cold load pickup (CLPU); distributed generator (DG); distribution system; microgrid; mixed-integer linear programming (MILP); restoration sequence; service restoration

Citation Formats

Chen, Bo, Chen, Chen, Wang, Jianhui, and Butler-Purry, Karen L. Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids. United States: N. p., 2017. Web. doi:10.1109/TSG.2017.2723798.
Chen, Bo, Chen, Chen, Wang, Jianhui, & Butler-Purry, Karen L. Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids. United States. doi:10.1109/TSG.2017.2723798.
Chen, Bo, Chen, Chen, Wang, Jianhui, and Butler-Purry, Karen L. Fri . "Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids". United States. doi:10.1109/TSG.2017.2723798. https://www.osti.gov/servlets/purl/1402493.
@article{osti_1402493,
title = {Multi-Time Step Service Restoration for Advanced Distribution Systems and Microgrids},
author = {Chen, Bo and Chen, Chen and Wang, Jianhui and Butler-Purry, Karen L.},
abstractNote = {Modern power systems are facing increased risk of disasters that can cause extended outages. The presence of remote control switches (RCSs), distributed generators (DGs), and energy storage systems (ESS) provides both challenges and opportunities for developing post-fault service restoration methodologies. Inter-temporal constraints of DGs, ESS, and loads under cold load pickup (CLPU) conditions impose extra complexity on problem formulation and solution. In this paper, a multi-time step service restoration methodology is proposed to optimally generate a sequence of control actions for controllable switches, ESSs, and dispatchable DGs to assist the system operator with decision making. The restoration sequence is determined to minimize the unserved customers by energizing the system step by step without violating operational constraints at each time step. The proposed methodology is formulated as a mixed-integer linear programming (MILP) model and can adapt to various operation conditions. Furthermore, the proposed method is validated through several case studies that are performed on modified IEEE 13-node and IEEE 123-node test feeders.},
doi = {10.1109/TSG.2017.2723798},
journal = {IEEE Transactions on Smart Grid},
number = 99,
volume = PP,
place = {United States},
year = {Fri Jul 07 00:00:00 EDT 2017},
month = {Fri Jul 07 00:00:00 EDT 2017}
}

Journal Article:
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