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Publications (10 of 164) Show all publications
Armendariz, M., Paridari, K., Wallin, E. & Nordström, L. (2018). Comparative Study of Optimal Controller Placement Considering Uncertainty in PV Growth and Distribution Grid Expansion. Electric power systems research, 155, 48-57.
Open this publication in new window or tab >>Comparative Study of Optimal Controller Placement Considering Uncertainty in PV Growth and Distribution Grid Expansion
2018 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 155, 48-57 p.Article in journal (Refereed) Published
Abstract [en]

Distributed generation (DG) and especially grid-connected residential photovoltaic (PV) systems are emerging and high penetration levels of these can have an adverse impact on several low voltage (LV) distribution grids in terms of power quality and reliability. In order to reduce that effect in a cost-effective manner, the traditional distribution grid planning process is being reengineered by incorporating the grid control operations and considering the uncertainties e.g., DG power, demand and urban/rural expansion plans. One of the challenges is to determine if the required technology deployment to operate the grids can provide a better solution in terms of quality and cost than the traditional approach, which is principally based on cable reinforcement and change of transformers. In addition, if controllers were to be deployed, it would be important to determine where they should be placed and at what stage of the expansion planning, especially when the planning is assumed to be non-deterministic. Therefore, following this situation, in this paper we propose an optimal way to deploy and to operate utility's controllable resources at the distribution grid and additionally we consider the uncertainties related to PV growth and distribution grid expansion. Thus, we include the non-deterministic multistage perspective to the controller placement problem. Furthermore, we perform a techno-economic analysis of the results and we show that an optimal controller placement allows removing the overvoltage problems arising in the LV grid in a more cost-effective way compared to a typical traditional grid reinforcement approach.

Place, publisher, year, edition, pages
Elsevier, 2018
Keyword
Distribution grid planning, Model predictive control, Photovoltaics, Voltage control
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-216400 (URN)10.1016/j.epsr.2017.10.001 (DOI)2-s2.0-85030835113 (Scopus ID)
Note

QC 20171024

Available from: 2017-10-20 Created: 2017-10-20 Last updated: 2017-10-24Bibliographically 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, 339-346 p.Article 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
Keyword
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
Babazadeh, D., Hohn, F., Yiming, W. & Nordström, L. (2017). Distributed Two-stage Network Topology Processor for HVDC Grid Operation. In: 2017 IEEE MANCHESTER POWERTECH: . Paper presented at IEEE Manchester PowerTech, JUN 18-22, 2017, Manchester, ENGLAND. IEEE.
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, IEEE , 2017Conference 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 graphbased 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
Keyword
distributed coordination, HVDC grid, topology processor
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-215849 (URN)000411142500054 ()978-1-5090-4237-1 (ISBN)
Conference
IEEE Manchester PowerTech, JUN 18-22, 2017, Manchester, ENGLAND
Note

QC 20171017

Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2017-10-17Bibliographically approved
Babazadeh, D., Hohn, F., Wu, Y. & Nordström, L. (2017). Distributed Two-stage Network Topology Processor for HVDC Grid Operation. In: : . Paper presented at 12th IEEE PES PowerTech Conference, Towards and Beyond Sustainable Energy Systems, juni 18-22, Manchester, UK. IEEE.
Open this publication in new window or tab >>Distributed Two-stage Network Topology Processor for HVDC Grid Operation
2017 (English)Conference 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
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-202752 (URN)
Conference
12th IEEE PES PowerTech Conference, Towards and Beyond Sustainable Energy Systems, juni 18-22, Manchester, UK
Note

QC 20170627

Available from: 2017-03-05 Created: 2017-03-05 Last updated: 2017-06-27Bibliographically approved
Jürgensen, J. H., Brodersson, A. L., Nordström, L. & Hilber, P. (2017). Impact Assessment of Remote Control and Preventive Maintenance on the Failure Rate of a Disconnector Population. IEEE Transactions on Power Delivery.
Open this publication in new window or tab >>Impact Assessment of Remote Control and Preventive Maintenance on the Failure Rate of a Disconnector Population
2017 (English)In: IEEE Transactions on Power Delivery, ISSN 0885-8977, E-ISSN 1937-4208Article 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, 2017
Keyword
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)
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20171102

Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2017-11-02Bibliographically 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.

Keyword
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
Armendariz, M., Babazadeh, D., Brodén, D. & Nordström, L. (2017). Strategies to improve the voltage quality in active low-voltage distribution networks using DSO's assets. IET Generation, Transmission & Distribution, 11(1), 73-81.
Open this publication in new window or tab >>Strategies to improve the voltage quality in active low-voltage distribution networks using DSO's assets
2017 (English)In: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695, Vol. 11, no 1, 73-81 p.Article in journal (Refereed) Published
Abstract [en]

This study addresses the problem of voltage variations in active low-voltage distribution networks caused by distributed photovoltaic (PV) generation. Three strategies based on model predictive control (MPC) are introduced to flatten the voltage profile in a cost-optimal way. The compared strategies are the business as usual approach that manipulates a controllable on-load tap changer at the primary substation, the problematic feeder control strategy (CS) that adds an additional degree of freedom by controlling the critical secondary substations (SSs), and finally the compensation strategy, which controls the primary substation and compensates the non-critical SSs. A sensitivity analysis on the CSs has been conducted comparing the voltage variation reduction and the asset utilization with regard to the accuracy of the prediction models and the forecasted disturbance data. The results show that better (and more costly) characterisation of these parameters only provide a marginal improvement in the reduction of the voltage variations due to the restriction caused by the heavy tap change penalisation. Moreover, the tested case-study shows that the problematic feeder CS outperforms the compensation strategy in terms of larger voltage variation reduction for similar asset utilisation.

Place, publisher, year, edition, pages
IEEE, 2017
Keyword
power distribution control, power supply quality, voltage control, photovoltaic power systems, distributed power generation, predictive control, cost optimal control, substations, sensitivity analysis, asset management, compensation, voltage quality improvement, active low-voltage distribution networks, DSO assets, distributed photovoltaic generation, distributed PV generation, model predictive control, MPC, controllable on-load tap changer, primary substation, feeder control strategy, feeder CS, critical secondary substation control, noncritical SS compensation, voltage variation reduction, asset utilisation, prediction models, distribution system operator
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-203837 (URN)10.1049/iet-gtd.2016.0428 (DOI)000393751800009 ()2-s2.0-85009412455 (Scopus ID)
Note

QC 20170320

Available from: 2017-03-20 Created: 2017-03-20 Last updated: 2017-11-29Bibliographically approved
Jürgensen, J. H., Brodersson, A. L., Hilber, P. & Nordström, L. (2017). The Proportional Hazard Model and the Modelling of Recurrent Failure Data: Analysis of a Disconnector Population in Sweden. In: 2017 Cigré SC B3 (Substations) Colloquium, 18 - 20 September 2017, Recife, Brazil: . Paper presented at 2017 Cigré SC B3 (Substations) Colloquium, 18 - 20 September 2017, Recife, Brazil (pp. 1-8). .
Open this publication in new window or tab >>The Proportional Hazard Model and the Modelling of Recurrent Failure Data: Analysis of a Disconnector Population in Sweden
2017 (English)In: 2017 Cigré SC B3 (Substations) Colloquium, 18 - 20 September 2017, Recife, Brazil, 2017, 1-8 p.Conference paper, Published paper (Refereed)
Abstract [en]

Failure rate estimation is an important tool for planning and operating decision making in asset management of the power system. Moreover, the knowledge of how different explanatory variables impact the failure rate of the power system equipment is crucial for substation design. This study investigates 2191 work orders of 1626 non-current breaking disconnectors with 344 major failures. In particular, this paper analyses the disconnector failure data regarding recurrent failure data. Since the original PHM cannot handle recurrent event data, different extensions were developed such as the Andersen-Gill (AG), Prentice, Williams and Peterson (PWP), and the Wei, Lin, and Weissfeld (WLW) model. These models are applied to the disconnector dataset with 140 recurrent time-to-failure processes. The explanatory variables age at admission, remote control, preventive maintenance, and voltage level are assessed. The results show that preventive maintenance has a significant and positive impact on the recurrences with all tested methods. Also remote control, voltage level, and age are significant covariates. Compared to the single failure study previously conducted, where age had no significance, age is significant when assessing the recurrent failure which is the most critical difference to the analysis without recurrences.

Keyword
Asset management, control equipment reliability, monitoring, failure rate, failure rate estimation, preventive maintenance, recurrent event analysis
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-218015 (URN)
Conference
2017 Cigré SC B3 (Substations) Colloquium, 18 - 20 September 2017, Recife, Brazil
Note

QC 20180111

Available from: 2017-11-21 Created: 2017-11-21 Last updated: 2018-01-11Bibliographically approved
Armendariz, M., Babazadeh, D., Nordström, L. & Barchiesi, M. (2016). A Method to Place Meters in Active Low Voltage Distribution Networks using BPSO Algorithm. In: : . Paper presented at 19th Power Systems Computational Conference, PSCC, June 2016 in Genova, Italy.. .
Open this publication in new window or tab >>A Method to Place Meters in Active Low Voltage Distribution Networks using BPSO Algorithm
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a method to be used by a DSOto optimally place sensors at MV/LV substation and some lowvoltage cable distribution cabinets. This method aims to improvethe estimation of the grid states at low voltage distributionnetworks. This method formulates a multi-objective optimizationproblem to determine the optimal meter placementconfiguration. This formulation minimizes the low voltage stateestimation error and the cost associated to a particular meterdeployment configuration. The method uses Binary ParticleSwarm Optimization (BPSO) to solve the optimization problemand it has been tested on a network based on the Cigré LVbenchmark grid. The simulation results show that the methodcan be applied to both situations where smart metermeasurements are available and situations where they are not. Inthe latter situation the measurements are replaced by pseudomeasurements,which represent meter readings by using smartmeter historical data and prediction models.

Keyword
Active Low Voltage Distribution Networks, BPSO, Meter Placement Problem, Multi-objective Optimization, Observability Analysis, State Estimation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-180710 (URN)000382485600061 ()2-s2.0-84986588599 (Scopus ID)
Conference
19th Power Systems Computational Conference, PSCC, June 2016 in Genova, Italy.
Note

QC 20161017

Available from: 2016-01-21 Created: 2016-01-21 Last updated: 2017-11-06Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3014-5609

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