In deregulated electricity markets, profit driven electricity retailers compete to supply cheap reliable
electricity to electricity consumers, and the electricity consumers have free will to switch between the
electricity retailers. The need to maximize the profits of the electricity retailers while minimizing the
electricity costs of the electricity consumers has therefore seen a drastic increase in the research of
electricity markets. One of the factors that affect the profits of the electricity retailers and the energy
cost of the consumers in electricity retail markets is the supply and demand. During high-supply and
low-demand periods, the excess electricity if not managed, is wasted. During low-supply high-demand
periods, the deficit supply can lead to electricity blackouts or costly electricity because of the volatile
electricity wholesale spot market prices. Research studies have shown that electricity retailers can
achieve significant profits and reduced electricity costs for their electricity consumers by minimizing the
excess electricity and deficit electricity. Existing studies developed load forecasting models that aimed
to match electricity supply and electricity demand. These models reached excellent accuracy levels,
however due to the high volatility character of load demand and the rise of new electricity consumers,
load forecasting alone is unable to mitigate excess and deficit electricity. In other studies, researchers
proposed charging the electricity consumers’ batteries with excess electricity during high-supply
low-demand periods and supplying their deficit electricity during low-supply high-demand periods.
Electricity consumers’ incorporating batteries resulted in minimized excess and deficit electricity, in
turn, maximizing the profits for the electricity retailers and minimizing the electricity costs for the
electricity consumers. However, the batteries are consumer centric and only provide battery energy for
the battery-owned consumer. Electricity consumers without battery energy during low-supply highdemand
periods have electricity blackouts or require costly electricity from the electricity wholesale
spot market. The peer-to-peer (P2P) energy sharing framework which allows electricity consumers to
share their energy resources with one another is a viable solution to allow electricity consumers to share
their battery energy. P2P energy sharing is a hot topic in research because of its potential to maximize
the electricity retailers’ profits and minimize the electricity consumers’ electricity costs.
Due to the increased profits for the electricity retailer and reduced electricity costs for the electricity
consumers from implementing battery charging and P2P energy sharing, this dissertation proposes
a day-ahead electricity retail market structure in which the electricity retailer supplies consumers’
batteries with excess electricity during high-supply low-demand periods, and during low-supply highdemand
periods the electricity retailer discharges the consumers’ batteries to supply their deficit supply
or supply their peers’ deficit supply. The electricity retailer aims to maximize its profits and minimize
the electricity cost of the electricity consumers in its electricity retail market, by minimizing the excess
and deficit electricity. The problem is formulated as a non-linear optimization model and solved using
game theory.
This dissertation compares the profits of the electricity retailer and electricity costs of the consumers
that charge their batteries with excess electricity, discharge their batteries and purchase electricity
from their peers to supply their deficit supply, with consumers that only charge their batteries with
excess electricity but do not share their battery energy with their peers, consumers that only purchase
electricity from their peers to supply their deficit supply but do not employ a battery, and consumers
that neither employ a battery nor purchase electricity from their peers to supply their deficit supply.
The results show that the consumers that charge their batteries with excess electricity, discharge their
batteries and purchase electricity from their peers to supply their deficit supply achieved the lowest
electricity cost and highest profits for the electricity retailer. / Dissertation (MEng)--University of Pretoria, 2020. / Electrical, Electronic and Computer Engineering / MEng / Unrestricted
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:up/oai:repository.up.ac.za:2263/79627 |
| Date | January 2020 |
| Creators | Nepembe, Juliana |
| Contributors | Ye, Xianming, u17124426@tuks.co.za |
| Publisher | University of Pretoria |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Dissertation |
| Rights | © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
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