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Publications (10 of 168) Show all publications
Yiming, W., Nordström, L., Wang, Y. & Hauser, C. (2018). Adaptive Cyber-Security Scheme Incorporating QoS Requirements for WAMC Applications. In: Power Systems Computation Conference (PSCC2018): . Paper presented at Power Systems Computation Conference (PSCC2018).
Open this publication in new window or tab >>Adaptive Cyber-Security Scheme Incorporating QoS Requirements for WAMC Applications
2018 (English)In: Power Systems Computation Conference (PSCC2018), 2018Conference paper, Published paper (Refereed)
Keywords
Adaptive Scheme, Cyber-Security, Quality of Service, Stateful Data Delivery Service, WAMC
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-230616 (URN)
Conference
Power Systems Computation Conference (PSCC2018)
Available from: 2018-06-13 Created: 2018-06-13 Last updated: 2018-06-13
Yiming, W., Xiao, Y., Hohn, F., Nordström, L., Wang, J. & Zhao, W. (2018). Bad Data Detection Using Linear WLS and Sampled Values in Digital Substations. IEEE Transactions on Power Delivery, 33(1), 150-157, Article ID 7867789.
Open this publication in new window or tab >>Bad Data Detection Using Linear WLS and Sampled Values in Digital Substations
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2018 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 33, no 1, p. 150-157, article id 7867789Article in journal (Refereed) Published
Abstract [en]

Smart Grids employ intelligent control applications that require high quality data: fast, secure, and error free. Several researchers have focused on providing techniques for low latency and secured data links for these applications. Bad data detection is however generally provided only at the central level due to limitations in legacy technologies employed in many substations. With the introduction of IEC61850 data sharing within the substation becomes more flexible and transparent allowing more sophisticated management of data quality. Hence, this paper proposes a substation level bad data detection algorithm to facilitate also these types of requirements from applications. The algorithm is based on automatically detecting the substation topology by parsing standard substation description files and online state of circuit breakers and disconnectors. By applying linear weighted least square based state estimation algorithm, bad data from failing current transformers (CT) can be detected. By conducting the verification of different types of bad data, the results show the output of bad data detection algorithm provides higher accuracy than output from both measurement and protective CT in both static and faulty situations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
bad data detection, digital substation, Linear WLS, process bus, sampled values
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-222247 (URN)10.1109/TPWRD.2017.2669110 (DOI)2-s2.0-85041035552 (Scopus ID)
Note

QC 20180205

Available from: 2018-02-05 Created: 2018-02-05 Last updated: 2018-02-05Bibliographically approved
Jürgensen, J. H., Brodersson, A. L., Nordström, L. & Hilber, P. (2018). Impact Assessment of Remote Control and Preventive Maintenance on the Failure Rate of a Disconnector Population. IEEE Transactions on Power Delivery, 33(4), 1501-1509
Open this publication in new window or tab >>Impact Assessment of Remote Control and Preventive Maintenance on the Failure Rate of a Disconnector Population
2018 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208, Vol. 33, no 4, p. 1501-1509Article in journal (Refereed) Published
Abstract [en]

This paper presents the impact of different explanatory variables such as remote control availability and conducted preventive maintenance, among others, on failure statistics of a disconnector population in Sweden using the proportional hazard model. To do so, 2191 work orders were analysed which included 1626 disconnectors and 278 major failures. Here, the results show that the remote control availability for disconnectors - an example of such Smart Grid technology - has a negative effect on the failure rate, whereas preventive maintenance has a positive impact. It is also shown that the disconnector age is not significant and that certain disconnector types have a significant and positive correlation towards failures when compared to other disconnector types. The results increase the understanding of disconnector failures to improve asset management.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
Asset management, control equipment reliability, monitoring, diagnostic measures, failure rate, failure rate estimation, preventive maintenance
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-216785 (URN)10.1109/TPWRD.2017.2710482 (DOI)000431959600001 ()2-s2.0-85046947535 (Scopus ID)
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20171102

Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2018-05-31Bibliographically approved
Armendariz, M., Johansson, C., Nordström, L., Yunta Huete, A. & García Lobo, M. (2017). A Method to Design Optimal Communication Architectures in Advanced Metering Infrastructures. IET Generation, Transmission & Distribution, 11(2), 339-346
Open this publication in new window or tab >>A Method to Design Optimal Communication Architectures in Advanced Metering Infrastructures
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2017 (English)In: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695, Vol. 11, no 2, p. 339-346Article in journal (Refereed) Published
Abstract [en]

This paper proposes a method to determine the optimal communication architecture in advance metering infrastructures (AMI). The method starts by indicating suitable groups of meters that share similar characteristics such as distance to the secondary substation and mutual proximity. Then it connects each group of meters to the AMI-Head End through a communication architecture formed by wireless and Power Line Communication (PLC) technologies. The optimality criterion takes into account the Capital Expenditures (CAPEX), Operational Expenditures (OPEX) and the Quality of Service (QoS) in the communication architecture. The method is tested on a LV network based on real utility data provided by EU FP7 DISCERN project partners. These tests show that the method is consistent with planning foresight and can be useful to assist in the AMI communication architecture designing process.

Place, publisher, year, edition, pages
IET Digital Library, 2017
Keywords
AMI, Combinatorial Optimization, Data Concentrator, K-means, Linear Semi-Assignment Problem, PRIME, PLC, Smart Grid, Virtual Data Concentrator
National Category
Communication Systems
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-192608 (URN)10.1049/iet-gtd.2016.0481 (DOI)000396553400005 ()2-s2.0-85010837023 (Scopus ID)
Funder
EU, FP7, Seventh Framework Programme, 308913SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20170517

Available from: 2016-09-16 Created: 2016-09-16 Last updated: 2017-11-06Bibliographically approved
Paridari, K., Nordström, L. & Sandels, C. (2017). Aggregator strategy for planning demand response resources under uncertainty based on load flexibility modeling. In: : . Paper presented at IEEE International Conference on Smart Grid Communications (SmartGridComm).
Open this publication in new window or tab >>Aggregator strategy for planning demand response resources under uncertainty based on load flexibility modeling
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Nowadays, end-users can participate in demand response (DR) programs, and even slight load reductions from many houses can add up to major load shifts in the power system. Aggregators, which act as mediators between end-users and distribution system operator (DSO), play an important role here. The aggregator contracts the end-users for DR programs, plans ahead for times when customers should shift their load, and controls the load shifts in the running time. In this paper, our main focus is on planning the end-users for load shifting. Here, we first define and formulate the flexibilities (e.g., Stamina, repetition, and capacity) related to the dynamic loads such as space heating systems (SHSs) in detached houses. Assuming some end-users being contracted for DR program, based on estimation of their house characteristics and load flexibilities, an algorithm is then proposed to plan the SHSs for load shifting. In this algorithm the states in which a flexible load can be planned, kept in backup, or unavailable are considered by the aggregator. Another algorithm has been proposed here to deal with the different sources of uncertainties (which cause some of the planned SHSs to become unavailable). Numerical results are presented at the end, which discuss performance of the proposed strategy in terms of load flexibilities, load shifts in response to DR signals, and sensitivity analysis. Here, how to estimate the houses characteristics is a difficult issue, and we approximate them based on available models in the literature.

National Category
Engineering and Technology Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-226678 (URN)10.1109/SmartGridComm.2017.8340694 (DOI)
Conference
IEEE International Conference on Smart Grid Communications (SmartGridComm)
Note

QC 20180515

Available from: 2018-04-24 Created: 2018-04-24 Last updated: 2018-05-15Bibliographically approved
Babazadeh, D., Hohn, F., Wu, Y. & Nordström, L. (2017). Distributed Two-stage Network Topology Processor for HVDC Grid Operation. In: 2017 IEEE Manchester PowerTech, Powertech 2017: . Paper presented at 12th IEEE PES PowerTech Conference, Towards and Beyond Sustainable Energy Systems, juni 18-22, Manchester, UK. IEEE, Article ID 7980841.
Open this publication in new window or tab >>Distributed Two-stage Network Topology Processor for HVDC Grid Operation
2017 (English)In: 2017 IEEE Manchester PowerTech, Powertech 2017, IEEE, 2017, article id 7980841Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the results of an analysis of distributed two-stage coordination of network topology processor for HVDC grids. In the first stage of the two-stage processor, the substation topology is analyzed locally using an automated graph-based algorithm. Thereafter, a distributed algorithm is proposed to used the neighboring information to realize the grid connectivity. For distributed islanding detection, the connectivity problem is formulated as a set of linear equations and solved iteratively using successive-over-relaxation method. The performance of the proposed methods versus conventional one-stage method has been tested in an islanding scenario for a 5-terminal HVDC grid.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
distributed coordination, HVDC grid, topology processor
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-202752 (URN)10.1109/PTC.2017.7980841 (DOI)000411142500054 ()2-s2.0-85034774933 (Scopus ID)9781509042371 (ISBN)
Conference
12th IEEE PES PowerTech Conference, Towards and Beyond Sustainable Energy Systems, juni 18-22, Manchester, UK
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20170627

Available from: 2017-03-05 Created: 2017-03-05 Last updated: 2018-02-26Bibliographically approved
Babazadeh, D., Hohn, F., Wu, Y. & Nordström, L. (2017). Distributed Two-stage Network Topology Processor for HVDC Grid Operation. In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING: . Paper presented at 2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL. IEEE
Open this publication in new window or tab >>Distributed Two-stage Network Topology Processor for HVDC Grid Operation
2017 (English)In: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents the results of an analysis of distributed two-stage coordination of network topology processor for HVDC grids. In the first stage of the two-stage processor, the substation topology is analyzed locally using an automated graph based algorithm. Thereafter, a distributed algorithm is proposed to used the neighboring information to realize the grid connectivity. For distributed islanding detection, the connectivity problem is formulated as a set of linear equations and solved iteratively using successive-over-relaxation method. The performance of the proposed methods versus conventional one-stage method has been tested in an islandinv, scenario for a 5-terminal HVDC grid.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
Keywords
distributed coordination, HVDC grid, topology processor
National Category
Computational Mathematics
Identifiers
urn:nbn:se:kth:diva-228181 (URN)000426921801072 ()978-1-5386-2212-4 (ISBN)
Conference
2017 IEEE Power & Energy Society General Meeting, JUL 16-20, 2017, Chicago, IL
Note

QC 20180521

Available from: 2018-05-21 Created: 2018-05-21 Last updated: 2018-05-21Bibliographically approved
Kamphuis, R., Galsworthy, S., Stifter, M., Esterl, T., Kaser, S., Widergren, S., . . . Doolla, S. (2017). Integrating demand flexibility with distributed generation - Renewable energy sources (DG-RES) at the residential household and commercial customer level in electricity grids. In: CIRED - Open Access Proceedings Journal: . Paper presented at 24th International Conference and Exhibition on Electricity Distribution, CIRED 2017, Glasgow, United Kingdom, 12 June 2017 through 15 June 2017 (pp. 1827-1830). Institution of Engineering and Technology, 2017(1), Article ID 1.
Open this publication in new window or tab >>Integrating demand flexibility with distributed generation - Renewable energy sources (DG-RES) at the residential household and commercial customer level in electricity grids
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2017 (English)In: CIRED - Open Access Proceedings Journal, Institution of Engineering and Technology, 2017, Vol. 2017, no 1, p. 1827-1830, article id 1Conference paper, Published paper (Refereed)
Abstract [en]

Commercial and operational use of residential and commercial user demand-side flexibility in energy grids will play an important but, as yet, not disclosed role in realising the required increase in the penetration of DG-RES. An increased embedding potential is needed to satisfy ambitious energy efficiency and carbon dioxide emission targets. Introduction of smart technologies is seen as a facilitator but also encounters technological, operational, market and regulatory challenges. From assessing a number of technologies and field test projects, task 17 of the IEA/DSM program has explored the nature of this demand-side flexibility and the stakeholder context. It was found that a portfolio of services and control strategies for coordinating flexibility in an efficient, safe, reliable and scalable manner can be found. The boundary conditions, valuation and practical implementation are also discussed.

Place, publisher, year, edition, pages
Institution of Engineering and Technology, 2017
Series
CIRED - Open Access Proceedings Journal, ISSN 2515-0855
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
urn:nbn:se:kth:diva-228584 (URN)10.1049/oap-cired.2017.0567 (DOI)2-s2.0-85046970810 (Scopus ID)
Conference
24th International Conference and Exhibition on Electricity Distribution, CIRED 2017, Glasgow, United Kingdom, 12 June 2017 through 15 June 2017
Note

QC 20180528

Available from: 2018-05-28 Created: 2018-05-28 Last updated: 2018-05-28Bibliographically approved
Brodén, D., Paridari, K. & Nordström, L. (2017). MATLAB Applications to Generate Synthetic Electricity Load Profiles of Office Buildings and Detached Houses. In: : . Paper presented at Innovative Smart Grid Technologies Asia.
Open this publication in new window or tab >>MATLAB Applications to Generate Synthetic Electricity Load Profiles of Office Buildings and Detached Houses
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.

Keywords
MATLAB, App designer, Applications, Consumer load models, Synthetic load data
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-215626 (URN)
Conference
Innovative Smart Grid Technologies Asia
Note

QC 20171011

Available from: 2017-10-10 Created: 2017-10-10 Last updated: 2017-11-10Bibliographically approved
Armendariz, M., Rodrigo, G., Korman, M. & Nordström, L. (2017). Method for Reliability Analysis of Distribution Grid Communications Using PRMs-Monte Carlo Methods. In: : . Paper presented at IEEE Power and Energy Society (PES) General Meeting 2017, Chicago, IL.
Open this publication in new window or tab >>Method for Reliability Analysis of Distribution Grid Communications Using PRMs-Monte Carlo Methods
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a method to perform reliability analysis of communication systems for distribution grids. The method uses probabilistic relational models to indicate the probabilistic dependencies between the components that form the communication system and it is implemented by Monte Carlo methods. This method can be used for performing reliability predictions of simulated communication systems and for evaluating the reliability of real systems. The paper contains a case study in which the proposed method is applied to evaluate the reliability of the communication systems that are required for monitoring the network components at low voltage levels using the smart metering infrastructure. This case study is taken fromthe EU FP7 DISCERN project. Finally, the results are presented in a quantitative way, showing the individual reliability of each component and the combined reliability of the entire system.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-203886 (URN)
Conference
IEEE Power and Energy Society (PES) General Meeting 2017, Chicago, IL
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QCR 20170406

Available from: 2017-03-19 Created: 2017-03-19 Last updated: 2017-11-06Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3014-5609

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