Uncertainty mitigation in feeder level power loss reduction with distributed generation

Arun Kaarthick Manoharan; Anton Hettiarachchige-Don; Visvakumar Aravinthan

doi:10.1109/GreenTech.2019.8767121

Uncertainty mitigation in feeder level power loss reduction with distributed generation

Arun Kaarthick Manoharan
, Anton Hettiarachchige-Don
, Visvakumar Aravinthan

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

Abstract

The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.

Original language	English
Title of host publication	2019 IEEE Green Technologies Conference, GreenTech 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	4
ISBN (Electronic)	9781728114576
ISBN (Print)	9781728114583
DOIs	https://doi.org/10.1109/GreenTech.2019.8767121
Publication status	Published - 22 Jul 2019
Event	2019 IEEE Green Technologies Conference, GreenTech 2019 - Lafayette, United States Duration: 3 Apr 2019 → 6 Apr 2019

Publication series

Name	IEEE Green Technologies Conference
Publisher	IEEE
ISSN (Print)	2166-546X
ISSN (Electronic)	2166-5478

Conference

Conference	2019 IEEE Green Technologies Conference, GreenTech 2019
Country/Territory	United States
City	Lafayette
Period	3/04/19 → 6/04/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Distribution Generation
fuzzy optimization
power loss reduction
Smart Grid
Uncertainty

Access to Document

10.1109/GreenTech.2019.8767121

Cite this

@inproceedings{aa942a3b4a1744708191052245b0e05f,

title = "Uncertainty mitigation in feeder level power loss reduction with distributed generation",

abstract = "The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.",

keywords = "Distribution Generation, fuzzy optimization, power loss reduction, Smart Grid, Uncertainty",

author = "Manoharan, \{Arun Kaarthick\} and Anton Hettiarachchige-Don and Visvakumar Aravinthan",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Green Technologies Conference, GreenTech 2019 ; Conference date: 03-04-2019 Through 06-04-2019",

year = "2019",

month = jul,

day = "22",

doi = "10.1109/GreenTech.2019.8767121",

language = "English",

isbn = "9781728114583",

series = "IEEE Green Technologies Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE Green Technologies Conference, GreenTech 2019",

address = "United States",

}

Manoharan, AK, Hettiarachchige-Don, A & Aravinthan, V 2019, Uncertainty mitigation in feeder level power loss reduction with distributed generation. in 2019 IEEE Green Technologies Conference, GreenTech 2019. IEEE Green Technologies Conference, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Green Technologies Conference, GreenTech 2019, Lafayette, United States, 3/04/19. https://doi.org/10.1109/GreenTech.2019.8767121

Uncertainty mitigation in feeder level power loss reduction with distributed generation. / Manoharan, Arun Kaarthick; Hettiarachchige-Don, Anton; Aravinthan, Visvakumar.
2019 IEEE Green Technologies Conference, GreenTech 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE Green Technologies Conference).

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

TY - GEN

T1 - Uncertainty mitigation in feeder level power loss reduction with distributed generation

AU - Manoharan, Arun Kaarthick

AU - Hettiarachchige-Don, Anton

AU - Aravinthan, Visvakumar

PY - 2019/7/22

Y1 - 2019/7/22

N2 - The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.

AB - The grid is moving towards a system of decentralized distributed generation using a large number of small scale renewable generation resources. These resources are stochastic in nature and therefore have to be continuously monitored and controlled for better system operation. This calls for an Information and Communication Technology (ICT) infrastructure that is able to provide continuous generation and load data. However, losses in communication is always possible. The work in this paper tries to come up with a DG control scheme that makes it possible for the system to make meaningful decisions even during communication losses. Proposed here is a feeder level loss minimization control scheme that uses a possibilistic approach to come up with DG set points in the absence of continuous system data.

KW - Distribution Generation

KW - fuzzy optimization

KW - power loss reduction

KW - Smart Grid

KW - Uncertainty

UR - https://www.scopus.com/pages/publications/85069930334

U2 - 10.1109/GreenTech.2019.8767121

DO - 10.1109/GreenTech.2019.8767121

M3 - Conference contribution

AN - SCOPUS:85069930334

SN - 9781728114583

T3 - IEEE Green Technologies Conference

BT - 2019 IEEE Green Technologies Conference, GreenTech 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Green Technologies Conference, GreenTech 2019

Y2 - 3 April 2019 through 6 April 2019

ER -

Uncertainty mitigation in feeder level power loss reduction with distributed generation

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this