Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement

Mukesh Gautam; Eliza Hotchkiss; Mohammed Ben-Idris

doi:10.48550/ARXIV.2212.03388

Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement

Mukesh Gautam
, Eliza Hotchkiss
, Mohammed Ben-Idris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes an approach based on graph theory and combinatorial enumeration for sizing of movable energy resources (MERs) to improve the resilience of the electric power supply. The proposed approach determines the size and number of MERs to be deployed in a distribution system to ensure the quickest possible recovery of the distribution system following an extreme event. The proposed approach starts by generating multiple line outage scenarios based on fragility curves of distribution lines. The generated scenarios are reduced using the k-means method. The distribution network is modeled as a graph where distribution network reconfiguration is performed for each reduced line outage scenario. The combinatorial enumeration technique is used to compute all combinations of total MER by size and number. The expected load curtailment (ELC) corresponding to each locational combination of MERs is determined. The minimum ELCs of all combinations of total MER are used to construct a minimum ELC matrix, which is later utilized to determine optimal size and number of MERs. The proposed approach is validated through a case study performed on a 33-node distribution test system.

Original language	English
Title of host publication	CIGRE Grid of the Future (GOTF) Symposium 2022
Volume	abs/2212.03388
DOIs	https://doi.org/10.48550/ARXIV.2212.03388
State	Published - Dec 7 2022
Externally published	Yes

Publication series

Name	CoRR

Access to Document

10.48550/ARXIV.2212.03388

Cite this

@inproceedings{bd2100255bb849e4a98bd278aa3a3a5b,

title = "Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement",

abstract = "This paper proposes an approach based on graph theory and combinatorial enumeration for sizing of movable energy resources (MERs) to improve the resilience of the electric power supply. The proposed approach determines the size and number of MERs to be deployed in a distribution system to ensure the quickest possible recovery of the distribution system following an extreme event. The proposed approach starts by generating multiple line outage scenarios based on fragility curves of distribution lines. The generated scenarios are reduced using the k-means method. The distribution network is modeled as a graph where distribution network reconfiguration is performed for each reduced line outage scenario. The combinatorial enumeration technique is used to compute all combinations of total MER by size and number. The expected load curtailment (ELC) corresponding to each locational combination of MERs is determined. The minimum ELCs of all combinations of total MER are used to construct a minimum ELC matrix, which is later utilized to determine optimal size and number of MERs. The proposed approach is validated through a case study performed on a 33-node distribution test system.",

author = "Mukesh Gautam and Eliza Hotchkiss and Mohammed Ben-Idris",

note = "DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.",

year = "2022",

month = dec,

day = "7",

doi = "10.48550/ARXIV.2212.03388",

language = "English",

volume = "abs/2212.03388",

series = "CoRR",

booktitle = "CIGRE Grid of the Future (GOTF) Symposium 2022",

}

TY - GEN

T1 - Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement

AU - Gautam, Mukesh

AU - Hotchkiss, Eliza

AU - Ben-Idris, Mohammed

N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.

PY - 2022/12/7

Y1 - 2022/12/7

N2 - This paper proposes an approach based on graph theory and combinatorial enumeration for sizing of movable energy resources (MERs) to improve the resilience of the electric power supply. The proposed approach determines the size and number of MERs to be deployed in a distribution system to ensure the quickest possible recovery of the distribution system following an extreme event. The proposed approach starts by generating multiple line outage scenarios based on fragility curves of distribution lines. The generated scenarios are reduced using the k-means method. The distribution network is modeled as a graph where distribution network reconfiguration is performed for each reduced line outage scenario. The combinatorial enumeration technique is used to compute all combinations of total MER by size and number. The expected load curtailment (ELC) corresponding to each locational combination of MERs is determined. The minimum ELCs of all combinations of total MER are used to construct a minimum ELC matrix, which is later utilized to determine optimal size and number of MERs. The proposed approach is validated through a case study performed on a 33-node distribution test system.

AB - This paper proposes an approach based on graph theory and combinatorial enumeration for sizing of movable energy resources (MERs) to improve the resilience of the electric power supply. The proposed approach determines the size and number of MERs to be deployed in a distribution system to ensure the quickest possible recovery of the distribution system following an extreme event. The proposed approach starts by generating multiple line outage scenarios based on fragility curves of distribution lines. The generated scenarios are reduced using the k-means method. The distribution network is modeled as a graph where distribution network reconfiguration is performed for each reduced line outage scenario. The combinatorial enumeration technique is used to compute all combinations of total MER by size and number. The expected load curtailment (ELC) corresponding to each locational combination of MERs is determined. The minimum ELCs of all combinations of total MER are used to construct a minimum ELC matrix, which is later utilized to determine optimal size and number of MERs. The proposed approach is validated through a case study performed on a 33-node distribution test system.

UR - https://arxiv.org/abs/2212.03388

U2 - 10.48550/ARXIV.2212.03388

DO - 10.48550/ARXIV.2212.03388

M3 - Conference contribution

VL - abs/2212.03388

T3 - CoRR

BT - CIGRE Grid of the Future (GOTF) Symposium 2022

ER -

Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement

Abstract

Publication series

Access to Document

Other files and links

Fingerprint

Cite this