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- Brodén, Daniel A., 1989-
(författare)
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Modeling and Simulations of Demand Response in Sweden
- 2017
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 2. |
- Brodén, Daniel, 1989-, et al.
(författare)
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Anticipating Overrides of Schedulable Space Heating Systems in Detached Houses for Demand Response
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- In this paper we propose and evaluate two cases of a model predictive scheduling approach to anticipate overrides of schedulable electric space heating systems in detached houses. We assume a demand-response set-up where the space heating systems of a population of heterogeneous detached houses are scheduled over a finite horizon with the objective of having their aggregated space heating load follow a desired load profile. We envision that the desired load profile provides hourly to sub-hourly ancillary services to electricity market actors and define schedule overrides as the interruption of demand response following a violation of the indoor temperature comfort in a house. We use a model to represent the indoor temperature change in detached houses on minute resolution which considers, among other variables, weather- and individual behavioral-related heat gains and losses in the building. The model predictive scheduling approach is evaluated on a use-case consisting of a balance responsible player looking to minimize its daily expected power imbalances on the intraday market. The scheduling is performed on 100 detached houses participating in demand-response for two predictive cases and a non-predictive case for comparison. The predictive cases differ in the level of information known about thebuilding attributes of the population. Simulations are performed for 90 consecutive days corresponding to a Swedish winter period where results indicate power imbalance reductions of up to 30% and notable differences between predictive cases.
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| 3. |
- Brodén, Daniel, 1989-, et al.
(författare)
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MATLAB Applications to Generate Synthetic Electricity Load Profiles of Office Buildings and Detached Houses
- 2017
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Ingår i: 2017 IEEE Innovative Smart Grid Technologies - Asia: Smart Grid for Smart Community, ISGT-Asia 2017, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6.
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 5. |
- Fridlund, Mats, 1965, et al.
(författare)
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Humanistic AI: Towards a new field of interdisciplinary expertise and research
- 2024
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Ingår i: Proceedings of the Huminfra Conference (HiC 2024), 10-11 January, 2024, Gothenburg, Sweden. - Linköping : Linköping University Electronic Press. - 1650-3686 .- 1650-3740. - 9789180755122
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Konferensbidrag (refereegranskat)abstract
- The Gothenburg Research Infrastructure in Digital Humanities (GRIDH) have participated in projects within various humanities fields that utilise as well as develop research tools and infrastructural resources that incorporate applications of ‘artificial intelligence’ (AI). These applications can include natural language processing, machine learning, computer vision, large language models, image recognition algorithms, classification, clustering, and deep learning. This paper advances the term ‘humanistic AI’ to describe an emergent form of interdisciplinary practice that uses and develops AI-based research applications to answer humanities research questions together with its entangled humanistic reflection. We coin this term to make implicit and visible the epistemological and material particularities of its practice and the new forms of knowledge its affordances make possible. The paper presents GRIDH projects within ‘humanistic AI’ together with its developed AI resources and applications.
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| 6. |
- Gliniewicz, Vincent, et al.
(författare)
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Economic Impact Assessment of using Congestion Management Methods to enable increased Wind Power Integration on Gotland, Sweden
- 2016
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Konferensbidrag (refereegranskat)abstract
- Congestion management methods are useful regulatory mechanisms to prevent transmission capacity problems.This paper intends to assess whether congestion management can be cost-efficiently used to postpone or even avoid network capacity reinforcements while increasing the hosting capacity of wind power on the island of Gotland in Sweden. Two methods,re-dispatch and market splitting, are studied in detail and applied to the Gotland case. A simplified electricity market model using historical data from Gotland was designed to perform the simulations. These methods pass on the cost of lack of transmission capacity to different actors in the electricity market (mainly grid owner for re-dispatch and consumers and producers for market splitting). Simulations indicate however that both methods could be employed to raise the installed production capacity of wind power on Gotland by at least 26 MW above the stated limit of 195 MW without negatively impacting the income of any actor. Moreover, market splitting efficiently reflects the transmission problems on the energy price of Gotland, thus giving economic incentive for flexible power consumption to alleviate the problems.
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