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 | IEEE |
Pages | 243-248 |
Number of pages | 6 |
ISBN (Electronic) | 9781728110103 |
DOIs | |
Publication status | Published - 9 Dec 2019 |
Event | 2019 IEEE Power and Energy Society/Industrial Applications Society PowerAfrica Conference - Abuja, Nigeria Duration: 20 Aug 2019 → 23 Aug 2019 |
Conference
Conference | 2019 IEEE Power and Energy Society/Industrial Applications Society PowerAfrica Conference |
---|---|
Abbreviated title | PowerAfrica 2019 |
Country/Territory | Nigeria |
City | Abuja |
Period | 20/08/19 → 23/08/19 |
Keywords
- automated negotiations
- heuristic algorithms
- multi-Agents trading
- P2P Electricity Trade
ASJC Scopus subject areas
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Development
- Control and Optimization