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MATLAB Applications to Generate Synthetic Electricity Load Profiles of Office Buildings and Detached Houses
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Power system operation and control)
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (Power system operation and control)ORCID iD: 0000-0002-4210-8672
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Power system operation and control)ORCID iD: 0000-0003-3014-5609
2017 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

In this paper we present two MATLAB applications that generates synthetic electricity load profiles for office buildings and detached houses down to 1-minute resolution. The applications have been developed using App Designer — a MATLAB environment for application development. The applications are based on consumer load models for office buildings and detached houses published in previous research work. The aim of this paper is to present an overview of the application functionalities, code design, assumptions and limitations, and examples of their potential use in power system education and research. To the author’s knowledge these are the first applications which allow generating synthetic load profiles for office buildings and houses in practical and intuitive manner where building attributes can be easily configured.

Place, publisher, year, edition, pages
2017.
Keywords [en]
MATLAB, App designer, Applications, Consumer load models, Synthetic load data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-215626OAI: oai:DiVA.org:kth-215626DiVA, id: diva2:1148336
Conference
Innovative Smart Grid Technologies Asia
Note

QC 20171011

Available from: 2017-10-10 Created: 2017-10-10 Last updated: 2017-11-10Bibliographically approved
In thesis
1. Modeling and Simulations of Demand Response in Sweden
Open this publication in new window or tab >>Modeling and Simulations of Demand Response in Sweden
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Electric power systems are undergoing a paradigm shift where an increasing number of variable renewable energy resources such as wind and solar power are being introduced to all levels of existing power grids. At the same time consumers are gaining a more active role where self energy production and home automation solutions are no longer uncommon. This challenges traditional power systems which were designed to serve as a centralized top-down solution for providing electricity to consumers. Demand response has risen as a promising solution to cope with some of the challenges that this shift is creating. In this thesis, control and scheduling studies using demand response, and consumer load models adapted to environments similar to Sweden are proposed and evaluated. The studies use model predictive control approaches for the purpose of providing ancillary and financial services to electricity market actors using thermal flexibility from detached houses. The approaches are evaluated on use-cases using data from Sweden for the purpose of reducing power imbalances of a balance responsible player and congestion management for a system operator. Simulations show promising results for reducing power imbalances by up to 30% and managing daily congestion of 5-19 MW using demand response. Moreover, a consumer load model of an office building is proposed using a gray-box modeling approach combining physical understanding of buildings with empirical data. Furthermore, the proposed consumer load model along with a similar model for detached houses are packaged and made freely available as MATLAB applications for other researchers and stakeholders working with demand response. The applications allow the user to generate synthetic electricity load profiles for heterogeneous populations of detached houses and office buildings down to 1-min resolution. The aim of this thesis has been to summarize and discuss the main highlights of the included articles. The interested reader is encouraged to investigate further details in the second part of the thesis as they provide a more comprehensive account of the studies and models proposed.

Place, publisher, year, edition, pages
Stockholm, Sweden: KTH Royal Institute of Technology, 2017. p. 55
Series
TRITA-EE, ISSN 1653-5146 ; 2017:148
Keywords
demand response, demand side management, model predictive scheduling
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-215627 (URN)978-91-7729-574-7 (ISBN)
Presentation
2017-11-10, F3, Lindstedtsvägen 26, Stockholm, 10:30 (English)
Opponent
Supervisors
Note

QC 20171011

Available from: 2017-10-11 Created: 2017-10-10 Last updated: 2017-11-13Bibliographically approved

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Paridari, KavehNordström, Lars

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