An Agent-based Model for Simulating Smart Grid Innovations
Loading...
Authors
Author (Corporation)
Publication date
2017
Typ of student thesis
Master
Course of study
Collections
Type
11 - Student thesis
Editors
Editor (Corporation)
Supervisor
Parent work
Special issue
DOI of the original publication
Link
Series
Series number
Volume
Issue / Number
Pages / Duration
Patent number
Publisher / Publishing institution
Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
The supply and demand of electricity grids has to be in balance at every time, otherwise devices may break or even blackouts will occur. The main objective of the Swiss EnergyStrategy 2050 is to deactivate the nuclear power plants and replace its energy production with more distributed renewable alternative energy sources. This transition will notonly have an impact on the electricity grid, but also on the energy markets. Renewable energy occurs on occasion and thus solutions for basic supply are still required. If the suppliers of basic supply are not able to produce economically, the balance is endangered. Due to the lack of data, it is impossible to predict the impact of future inuencers to the stability of the electricity grid and market. Furthermore, changing behaviour of customers and alternative markets models increase this uncertainty. Agent-based models enable simulations of scenarios where no historical data is available and have been successfully applied for studying different behaviour of electricity market and largescalesimulations, but without focusing on the grid and market stability of future energymixes. Applying the Design Science Research approach, an agent-based model has been designedto address this issue. The agents market, bookkeeper, grid, grid-region, representthe electricity market, the settlement with its regulations and the infrastructure onwhich consumers and suppliers act. Consumers demand energy based on seasonal orprice variations and the suppliers' production depends on seasonal variations, on thelocal solar irradiation or its exibility. The exibility describes the ability to react toa received order; some suppliers react instantly, others do not react at all or are onlyable to react limited and therefore have to pro-actively change their behaviour. Finally,prosumers that buy, store and sell energy have been implemented to represent smarthomes with batteries or hydro-storage power-plants....
Keywords
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
Open access category
License
Citation
Schädler, P. (2017). An Agent-based Model for Simulating Smart Grid Innovations [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/39826