Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities

Christie Etukudor; Valentin Robu; Benoit Couraud; Gudrun Kocher; Wolf-Gerrit Früh; David Flynn; Chinonso Okereke

doi:10.1109/PowerAfrica.2019.8928640

Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities

Christie Etukudor, Valentin Robu, Benoit Couraud, Gudrun Kocher, Wolf-Gerrit Früh, David Flynn, Chinonso Okereke

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

7 Citations (Scopus)

Abstract

Electricity-Access is a growing concern in developing countries of Sub-Saharan Africa where approximately 563million people (8% of the global population) lack electricity. Many use fossil-fuel generators and/or solar-home-systems (SHSs) with storage. Given the observed excess and unutilized electricity generated from these SHSs, a novel community peer-To-peer (P2P) electricity-market using automated negotiations is presented as a solution to improve access to electricity. Software agents representing World Bank Tiers 1-4 electricity-Access households bilaterally negotiate electricity price and quantities applying five different negotiations heuristics. Simulation results show 65-100% trade of the excess generation; with Tiers 1-2 (low-income households) negotiating sufficient electricity (1-1.1kWh/day) at the least market-price of £0.35/kWh to move to Tier 3. Likewise, the Tier 3 household agent negotiated 1.5kWh/day sufficient to meet its needs. This novel electricitymarket model can help drive the United Nations goal of affordable, sustainable and modern energy for all by 2030.

Original language	English
Title of host publication	2019 IEEE PES/IAS PowerAfrica
Publisher	Institute of Electrical and Electronics Engineers
Pages	243-248
Number of pages	6
ISBN (Electronic)	978-1-7281-1010-3
DOIs	https://doi.org/10.1109/PowerAfrica.2019.8928640
Publication status	Published - 8 Dec 2019
Externally published	Yes
Event	IEEE PES/IAS Powerafrica 2019 Conference - Abuja, Nigeria Duration: 20 Aug 2019 → 23 Aug 2019

Conference

Conference	IEEE PES/IAS Powerafrica 2019 Conference
Country/Territory	Nigeria
City	Abuja
Period	20/08/19 → 23/08/19

Keywords

automated negotiations
heuristic algorithms
multi-Agents trading
P2P Electricity Trade

UN SDGs

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

Access to Document

10.1109/PowerAfrica.2019.8928640

http://www.scopus.com/inward/record.url?scp=85077768789&partnerID=8YFLogxK

Cite this

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title = "Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities",

abstract = "Electricity-Access is a growing concern in developing countries of Sub-Saharan Africa where approximately 563million people (8% of the global population) lack electricity. Many use fossil-fuel generators and/or solar-home-systems (SHSs) with storage. Given the observed excess and unutilized electricity generated from these SHSs, a novel community peer-To-peer (P2P) electricity-market using automated negotiations is presented as a solution to improve access to electricity. Software agents representing World Bank Tiers 1-4 electricity-Access households bilaterally negotiate electricity price and quantities applying five different negotiations heuristics. Simulation results show 65-100% trade of the excess generation; with Tiers 1-2 (low-income households) negotiating sufficient electricity (1-1.1kWh/day) at the least market-price of £0.35/kWh to move to Tier 3. Likewise, the Tier 3 household agent negotiated 1.5kWh/day sufficient to meet its needs. This novel electricitymarket model can help drive the United Nations goal of affordable, sustainable and modern energy for all by 2030.",

keywords = "automated negotiations, heuristic algorithms, multi-Agents trading, P2P Electricity Trade",

author = "Christie Etukudor and Valentin Robu and Benoit Couraud and Gudrun Kocher and Wolf-Gerrit Fr{\"u}h and David Flynn and Chinonso Okereke",

year = "2019",

month = dec,

day = "8",

doi = "10.1109/PowerAfrica.2019.8928640",

language = "English",

pages = "243--248",

booktitle = "2019 IEEE PES/IAS PowerAfrica",

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Etukudor, C, Robu, V, Couraud, B, Kocher, G, Früh, W-G, Flynn, D & Okereke, C 2019, Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities. in 2019 IEEE PES/IAS PowerAfrica., 8928640, Institute of Electrical and Electronics Engineers, pp. 243-248, IEEE PES/IAS Powerafrica 2019 Conference, Abuja, Nigeria, 20/08/19. https://doi.org/10.1109/PowerAfrica.2019.8928640

Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities. / Etukudor, Christie; Robu, Valentin; Couraud, Benoit et al.
2019 IEEE PES/IAS PowerAfrica. Institute of Electrical and Electronics Engineers, 2019. p. 243-248 8928640.

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

TY - GEN

T1 - Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities

AU - Etukudor, Christie

AU - Robu, Valentin

AU - Couraud, Benoit

AU - Kocher, Gudrun

AU - Früh, Wolf-Gerrit

AU - Flynn, David

AU - Okereke, Chinonso

PY - 2019/12/8

Y1 - 2019/12/8

N2 - Electricity-Access is a growing concern in developing countries of Sub-Saharan Africa where approximately 563million people (8% of the global population) lack electricity. Many use fossil-fuel generators and/or solar-home-systems (SHSs) with storage. Given the observed excess and unutilized electricity generated from these SHSs, a novel community peer-To-peer (P2P) electricity-market using automated negotiations is presented as a solution to improve access to electricity. Software agents representing World Bank Tiers 1-4 electricity-Access households bilaterally negotiate electricity price and quantities applying five different negotiations heuristics. Simulation results show 65-100% trade of the excess generation; with Tiers 1-2 (low-income households) negotiating sufficient electricity (1-1.1kWh/day) at the least market-price of £0.35/kWh to move to Tier 3. Likewise, the Tier 3 household agent negotiated 1.5kWh/day sufficient to meet its needs. This novel electricitymarket model can help drive the United Nations goal of affordable, sustainable and modern energy for all by 2030.

AB - Electricity-Access is a growing concern in developing countries of Sub-Saharan Africa where approximately 563million people (8% of the global population) lack electricity. Many use fossil-fuel generators and/or solar-home-systems (SHSs) with storage. Given the observed excess and unutilized electricity generated from these SHSs, a novel community peer-To-peer (P2P) electricity-market using automated negotiations is presented as a solution to improve access to electricity. Software agents representing World Bank Tiers 1-4 electricity-Access households bilaterally negotiate electricity price and quantities applying five different negotiations heuristics. Simulation results show 65-100% trade of the excess generation; with Tiers 1-2 (low-income households) negotiating sufficient electricity (1-1.1kWh/day) at the least market-price of £0.35/kWh to move to Tier 3. Likewise, the Tier 3 household agent negotiated 1.5kWh/day sufficient to meet its needs. This novel electricitymarket model can help drive the United Nations goal of affordable, sustainable and modern energy for all by 2030.

KW - automated negotiations

KW - heuristic algorithms

KW - multi-Agents trading

KW - P2P Electricity Trade

U2 - 10.1109/PowerAfrica.2019.8928640

DO - 10.1109/PowerAfrica.2019.8928640

M3 - Conference contribution

SP - 243

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BT - 2019 IEEE PES/IAS PowerAfrica

PB - Institute of Electrical and Electronics Engineers

T2 - IEEE PES/IAS Powerafrica 2019 Conference

Y2 - 20 August 2019 through 23 August 2019

ER -

Automated Negotiation for Peer-To-Peer Trading of Renewable Energy in Off-Grid Communities

Abstract

Conference

Keywords

UN SDGs

Access to Document

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Cite this