Energy Trading in the Smart Stability Network
Lade...
Autor:innen
Mettler, Fabian
Autor:in (Körperschaft)
Publikationsdatum
30.01.2015
Typ der Arbeit
Master
Studiengang
Sammlung
Typ
11 - Studentische Arbeit
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Themenheft
DOI der Originalpublikation
Link
Reihe / Serie
Reihennummer
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
Patentnummer
Verlag / Herausgebende Institution
Hochschule für Wirtschaft FHNW
Verlagsort / Veranstaltungsort
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
The current implementation of the electrical grid has not changed since the last
50 years and due to the increase of energy demand the stability of the electrical
grid is strongly affected which can result in power cuts respectively blackouts,
brownouts or poor quality. One of the main reasons of these issues is the current
design of the electrical grid, which is designed for centralized power production
in big power plants from where the customers are served with electrical energy.
In the case that one of these power plans has an outage, the impact is huge
because it could affect several major cities or worse, e.g. the Northeast blackout
of 2003.
This paper proposes an approach to improve the stability of the electrical grid
through decentralized networks and energy trading. The idea is to decrease the
deviation from the schedule of the power plant operators and to create an
economic incentive for homeowners. This is achieved by tradable goods, which
are traded in such a network. This paper presents a model of a decentralized
network, which consists of several smart houses with data taken from real
consumers. The model or rather trading process is implemented with the multiagent
framework JADE that allows implementing a distributed network with
different type of participants. The trading process works in a way that a leader is
elected in the beginning of the process. Once the leader is elected, all other
participants inform the leader in short time intervals about their energy
demands and their offers. An offer corresponding here to a tradable good such as
receiving energy from a photovoltaic system, storing energy in a battery or
switching on a boiler. In each interval, respectively cycle, the leader calculates
the deviation from the schedule according to the schedule and the energy
demands of the participants. When the deviation from the schedule is greater
than zero, the leader looks for the best offers to decrease the deviation. Hereby, a
participant gets paid when the leader accepts its offer.
According to the findings and results in this thesis, it is feasible to improve the
stability of the electrical grid and to create an economic incentive for
homeowners. While smart houses with a battery help to reduce the deviation
from the schedule immensely, introduce smart houses with a photovoltaic
system fluctuation and therefore increase the deviation. On the other side, smart
houses with a photovoltaic system get more profit than houses with a battery
because the produced energy of photovoltaic system has to be used at any price.
Although, this thesis shows that energy trading can improve the stability of the
electrical grid and create an economic incentive for homeowners at the same
time. A concrete business model is missing, which describes how such a
decentralized network can be introduced and sold to homeowners. Furthermore
the simplifications of the energy demand forecast function and the leader
election in this thesis are to be considered.
Schlagwörter
Fachgebiet (DDC)
004 - Computer Wissenschaften, Internet
Veranstaltung
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Publikationsstatus
Unveröffentlicht
Begutachtung
Keine Begutachtung
Open Access-Status
Lizenz
Zitation
METTLER, Fabian, 2015. Energy Trading in the Smart Stability Network. Hochschule für Wirtschaft FHNW. Verfügbar unter: https://doi.org/10.26041/fhnw-1171