The University of Southampton
University of Southampton Institutional Repository

Algorithms for fair load shedding in developing countries

Algorithms for fair load shedding in developing countries
Algorithms for fair load shedding in developing countries
Due to the limited generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. During load shedding, many homes are left without electricity, causing them inconvenience and discomfort. In this paper, we present a number of optimization heuristics that focus on pairwise and groupwise fairness, such that households (i.e. agents) are fairly allocated electricity. We evaluate the heuristics against standard fairness metrics in terms of comfort delivered to homes, as well as the number of times they are disconnected from electricity supply. Thus, we establish new benchmarks for fair load shedding schemes.
Oluwasuji, Olabambo, Ifeoluwa
b20f623c-d5cd-4db9-905c-5d00b9d95459
Malik, Obaid
16899d3c-005e-48f1-b7c0-8040449de79e
Zhang, Jie
6bad4e75-40e0-4ea3-866d-58c8018b225a
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3
Oluwasuji, Olabambo, Ifeoluwa
b20f623c-d5cd-4db9-905c-5d00b9d95459
Malik, Obaid
16899d3c-005e-48f1-b7c0-8040449de79e
Zhang, Jie
6bad4e75-40e0-4ea3-866d-58c8018b225a
Ramchurn, Sarvapali
1d62ae2a-a498-444e-912d-a6082d3aaea3

Oluwasuji, Olabambo, Ifeoluwa, Malik, Obaid, Zhang, Jie and Ramchurn, Sarvapali (2018) Algorithms for fair load shedding in developing countries. International Joint Conference on Artificial Intelligence, Stockholm, Sweden. 13 - 19 Jul 2018. 7 pp . (In Press)

Record type: Conference or Workshop Item (Paper)

Abstract

Due to the limited generation capacity of power stations, many developing countries frequently resort to disconnecting large parts of the power grid from supply, a process termed load shedding. During load shedding, many homes are left without electricity, causing them inconvenience and discomfort. In this paper, we present a number of optimization heuristics that focus on pairwise and groupwise fairness, such that households (i.e. agents) are fairly allocated electricity. We evaluate the heuristics against standard fairness metrics in terms of comfort delivered to homes, as well as the number of times they are disconnected from electricity supply. Thus, we establish new benchmarks for fair load shedding schemes.

Text
IJCAI_CameraReady - Accepted Manuscript
Restricted to Repository staff only
Request a copy
Text
IJCAI_CameraReady
Download (276kB)

More information

Accepted/In Press date: 2018
Venue - Dates: International Joint Conference on Artificial Intelligence, Stockholm, Sweden, 2018-07-13 - 2018-07-19

Identifiers

Local EPrints ID: 420541
URI: https://eprints.soton.ac.uk/id/eprint/420541
PURE UUID: 3b1b68d9-ec9a-4cb1-9975-4c9457468f8a
ORCID for Obaid Malik: ORCID iD orcid.org/0000-0001-9014-2675
ORCID for Jie Zhang: ORCID iD orcid.org/0000-0003-1380-9952
ORCID for Sarvapali Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 10 May 2018 16:30
Last modified: 14 Mar 2019 05:07

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×