Poster abstract: SmartStability. A multi-agent simulation environment for flexibility trading in households
Authors
Author (Corporation)
Publication date
01.02.2018
Typ of student thesis
Course of study
Collections
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Computer Science - Research and Development
Special issue
DOI of the original publication
Link
Series
Series number
Volume
33
Issue / Number
1-2
Pages / Duration
263–264
Patent number
Publisher / Publishing institution
Springer
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The increasing number of volatile energy sources, such as solar power plants, challenges the power network operators, the energy brokers as well as the electricity market actors. In this work, a multi-agent based approach will be introduced that allows multiple households to trade flexibilities, on top of the usual selling of produced energy to the paying consumer. Flexibility trading allows different optimisations for different actors. They can slightly shift their electricity consumption, e.g. by turning boilers on/off, to optimise the system (e.g. follow a predefined schedule). Simulation results indicate that a flexibility market consisting of only few households can already help to optimise the system.
Keywords
Flexibility market, Trading, Multi-agent system
Subject (DDC)
004 - Computer Wissenschaften, Internet
620 - Ingenieurwissenschaften und Maschinenbau
620 - Ingenieurwissenschaften und Maschinenbau
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1865-2034
1865-2042
1865-2042
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
License
Citation
WACHE, Holger, Michael KÜNZLI, Nicola SCHULZ, Jürg BICHSEL und Monika HALL, 2018. Poster abstract: SmartStability. A multi-agent simulation environment for flexibility trading in households. Computer Science - Research and Development. 1 Februar 2018. Bd. 33, Nr. 1-2, S. 263–264. DOI 10.1007/s00450-017-0373-4. Verfügbar unter: https://doi.org/10.26041/fhnw-1768