RELIABILITY AND ECONOMIC IMPLICATIONS OF COLLABORATIVE DISTRIBUTED RESOURCES

Angeliki Lydia Antonia Syrri; Yutian Zhou; Eduardo Martinez-Cesena; Joseph Mutale; Pierluigi Mancarella

doi:10.1049/cp.2016.0698

RELIABILITY AND ECONOMIC IMPLICATIONS OF COLLABORATIVE DISTRIBUTED RESOURCES

Angeliki Lydia Antonia Syrri, Yutian Zhou, Eduardo Martinez-Cesena, Joseph Mutale, Pierluigi Mancarella

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

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Abstract

Large-scale penetration of distributed energy resources such as Wind Farms (WF) and Electrical Energy Storage (EES) will be key attributes of future distribution networks. In this light, it is essential to develop a comprehensive understanding of how these resources actively affect reliability levels and distribution network reinforcement needs. In this work, WF and EES contribute to network reliability by providing capacity during post-fault operations, thus deferring reinforcement needs that are triggered by load growth. A reliability assessment framework based on Sequential Monte Carlo simulation is used to quantify the reliability improvements owing to WF and EES. To this end, the classic concept of Effective Load Carrying Capability is used to calculate their capacity contribution. Furthermore, the economic benefit for the DSO associated with the resources’ capacity credit is also calculated. The methodology is demonstrated using a real UK 11kV distribution network.

Original language	English
Title of host publication	CIRED workshop, Helsinki 2016
DOIs	https://doi.org/10.1049/cp.2016.0698
Publication status	Published - 2017
Event	CIRED Workshop - Helsinki Duration: 14 Jun 2016 → 15 Jun 2016

Conference

Conference	CIRED Workshop
City	Helsinki
Period	14/06/16 → 15/06/16

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10.1049/cp.2016.0698

Reliability and Economic Implications of Collaborative Distributed ResourcesAccepted author manuscript, 1.23 MB

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@inproceedings{7645962088324e92aa31144c8c354292,

title = "RELIABILITY AND ECONOMIC IMPLICATIONS OF COLLABORATIVE DISTRIBUTED RESOURCES",

abstract = "Large-scale penetration of distributed energy resources such as Wind Farms (WF) and Electrical Energy Storage (EES) will be key attributes of future distribution networks. In this light, it is essential to develop a comprehensive understanding of how these resources actively affect reliability levels and distribution network reinforcement needs. In this work, WF and EES contribute to network reliability by providing capacity during post-fault operations, thus deferring reinforcement needs that are triggered by load growth. A reliability assessment framework based on Sequential Monte Carlo simulation is used to quantify the reliability improvements owing to WF and EES. To this end, the classic concept of Effective Load Carrying Capability is used to calculate their capacity contribution. Furthermore, the economic benefit for the DSO associated with the resources{\textquoteright} capacity credit is also calculated. The methodology is demonstrated using a real UK 11kV distribution network.",

author = "Syrri, {Angeliki Lydia Antonia} and Yutian Zhou and Eduardo Martinez-Cesena and Joseph Mutale and Pierluigi Mancarella",

year = "2017",

doi = "10.1049/cp.2016.0698",

language = "English",

booktitle = "CIRED workshop, Helsinki 2016",

note = "CIRED Workshop ; Conference date: 14-06-2016 Through 15-06-2016",

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T1 - RELIABILITY AND ECONOMIC IMPLICATIONS OF COLLABORATIVE DISTRIBUTED RESOURCES

AU - Syrri, Angeliki Lydia Antonia

AU - Zhou, Yutian

AU - Martinez-Cesena, Eduardo

AU - Mutale, Joseph

AU - Mancarella, Pierluigi

PY - 2017

Y1 - 2017

N2 - Large-scale penetration of distributed energy resources such as Wind Farms (WF) and Electrical Energy Storage (EES) will be key attributes of future distribution networks. In this light, it is essential to develop a comprehensive understanding of how these resources actively affect reliability levels and distribution network reinforcement needs. In this work, WF and EES contribute to network reliability by providing capacity during post-fault operations, thus deferring reinforcement needs that are triggered by load growth. A reliability assessment framework based on Sequential Monte Carlo simulation is used to quantify the reliability improvements owing to WF and EES. To this end, the classic concept of Effective Load Carrying Capability is used to calculate their capacity contribution. Furthermore, the economic benefit for the DSO associated with the resources’ capacity credit is also calculated. The methodology is demonstrated using a real UK 11kV distribution network.

AB - Large-scale penetration of distributed energy resources such as Wind Farms (WF) and Electrical Energy Storage (EES) will be key attributes of future distribution networks. In this light, it is essential to develop a comprehensive understanding of how these resources actively affect reliability levels and distribution network reinforcement needs. In this work, WF and EES contribute to network reliability by providing capacity during post-fault operations, thus deferring reinforcement needs that are triggered by load growth. A reliability assessment framework based on Sequential Monte Carlo simulation is used to quantify the reliability improvements owing to WF and EES. To this end, the classic concept of Effective Load Carrying Capability is used to calculate their capacity contribution. Furthermore, the economic benefit for the DSO associated with the resources’ capacity credit is also calculated. The methodology is demonstrated using a real UK 11kV distribution network.

U2 - 10.1049/cp.2016.0698

DO - 10.1049/cp.2016.0698

M3 - Conference contribution

BT - CIRED workshop, Helsinki 2016

T2 - CIRED Workshop

Y2 - 14 June 2016 through 15 June 2016

ER -

RELIABILITY AND ECONOMIC IMPLICATIONS OF COLLABORATIVE DISTRIBUTED RESOURCES

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