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Publications (10 of 329) Show all publications
Huang, Y. & Söder, L. (2017). Assessing the impact of incentive regulation on distribution network investment considering distributed generation integration. International Journal of Electrical Power & Energy Systems, 89, 126-135.
Open this publication in new window or tab >>Assessing the impact of incentive regulation on distribution network investment considering distributed generation integration
2017 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 89, 126-135 p.Article in journal (Refereed) Published
Abstract [en]

In a deregulated power system, incentive regulations for network owners are designed to direct the network investment. An innovative method that assesses the incentive regulation in distribution networks is proposed in this paper. The method quantifies the interplay between incentive regulation, network investment, and network performances. It allows regulators and the distribution system operators (DSOs) evaluating the economic effects of investments within the incentive regulation framework. Considered network investments include the investment in network infrastructure and performance improving. The assessment is based on a network investment optimization model considering multi-period optimal power flow and regulatory constraints. The main contributions of this paper include the modeling of the incentive regulations and the quantification of the impacts of incentive regulation on network infrastructure investment and performance improving investment. 

Place, publisher, year, edition, pages
Elsevier, 2017
Keyword
Network investment, Distributed generation, Incentive regulation, Revenue cap regulation, Performance incentive regulation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-201705 (URN)10.1016/j.ijepes.2017.01.018 (DOI)2-s2.0-85012078042 (Scopus ID)
Funder
StandUp
Note

QC 20170221

Available from: 2017-02-14 Created: 2017-02-14 Last updated: 2017-11-29Bibliographically approved
Nilsson, M., Söder, L. & Ericsson, G. (2017). Balancing Strategies Evaluation Framework Using Available Multi-Area Data. IEEE Transactions on Power Systems.
Open this publication in new window or tab >>Balancing Strategies Evaluation Framework Using Available Multi-Area Data
2017 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679Article in journal (Refereed) Published
Abstract [en]

The penetration of variable RES, the deregulation of electricity markets, and the expansion of HVDC- transmission capacities all increase the variability, uncertainty, and imbalances for System Operators (SOs) to handle. Meanwhile, frequency quality has deteriorated and occurrence of balancing problems has increased. Therefore, there is an increased need for SOs to improve their balancing strategies. In this paper we present a new balancing evaluation framework. The main idea of the framework is to be applicable for real and large power systems and provide support for SOs when comparing already used balancing strategies with new ones using historical available data. This is important as only comparatively low-resolution data measurements, such as hourly-mean-values for production, consumption, and HVDC-transmission are stored in many power systems. The framework consists of model building, system parameter identification, testing different strategies and targets supporting the corporate missions of the SOs. In a case study, the framework is tested for a real power system where the model set-up mimics measured frequency accurately. The case study illustrates how the framework can be used to evaluate the impact of different balancing strategies on a series of selected targets which support the cooperate missions of ENTSO-E.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keyword
Balancing strategies, imbalance, multi-area, power system control, power system modeling, sustainable development, renewable energy sources, variability, uncertainty
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-221217 (URN)10.1109/TPWRS.2017.2736604 (DOI)
Note

QC 20180116

Available from: 2018-01-16 Created: 2018-01-16 Last updated: 2018-01-18Bibliographically approved
Stankovic, S. & Söder, L. (2017). Cable Impact on Integration of Wind and Solar Power. In: : . Paper presented at ELKRAFT Conference. Goteborg, Sweden.
Open this publication in new window or tab >>Cable Impact on Integration of Wind and Solar Power
2017 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
Goteborg, Sweden: , 2017
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-219934 (URN)
Conference
ELKRAFT Conference
Note

QC 20171214

Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2017-12-14Bibliographically approved
Nilsson, M., Söder, L., Eriksson, R., Ghandhari, M. & Ericsson, G. (2017). Designing new pro-active control-room strategies to decrease the need for automatic reserves. In: : . Paper presented at 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). .
Open this publication in new window or tab >>Designing new pro-active control-room strategies to decrease the need for automatic reserves
Show others...
2017 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Maintaining automatic reserve capacities is essential for a sustainable and reliable power system. Today, many power systems experience more frequent frequency deviations coming from increased power variations. This implies an increased utilization of automatic reserves. To decrease frequency deviations, one can increase the automatic reserve capacities. However, the solution tends to be costly and ineffective. Therefore, it is urgent to develop better solutions to cease this trend. Here we have designed new proactive control-room strategies to decrease the need for automatic reserves. We design strategies for a process called Re-Scheduling of Generation and for the Tertiary Frequency Control process. The new control-room strategies are tested using an intra-hour model comparing already used strategies against new ones. It is shown that the historical used strategies are well executed. Nevertheless, results show that the proactive TFC-strategy using a forecasted frequency as control parameter would improve system security significantly.

Keyword
Control-Room Strategies, ENTSO-E, Intra-hour Simulation, Tertiary Frequency Control.
National Category
Control Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-221218 (URN)
Conference
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Note

QC 20180116

Available from: 2018-01-16 Created: 2018-01-16 Last updated: 2018-01-18Bibliographically approved
Herre, L. & Söder, L. (2017). Enhancing market access of demand response through generation forecast updates. In: : . Paper presented at 12th IEEE PES PowerTech Conference. IEEE.
Open this publication in new window or tab >>Enhancing market access of demand response through generation forecast updates
2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Advances in communication infrastructure and elec-tric appliances have enabled demand side participation in powersystem operation. However, the full potential of demand flexibilityis yet to be exploited. Existing demand response programs requireflexibility in a set time frame from the electricity consumers inreaction to economic incentives. For a more detailed qualitativeanalysis of consumer flexibility, not only price but also noticetime are imperative parameters. The former has been studied innumerous references whereas the impact of the latter has not yetbeen examined in depth. This paper presents a market modelof demand response that enhances an efficient use of flexibleconsumers by hourly updates. The consequences of flexibleelectricity consumers are studied in a Real Time Pricing modelwith continuous forecast updates, where elasticity is subject tonotice time. A case study is presented using data from Sweden.We conclude that current demand response programs are notoptimally designed to integrate consumer flexibility that changeswith the notice time. 

Place, publisher, year, edition, pages
IEEE, 2017
Keyword
demand side management, power system simulation, power system economics, smart grids, wind energy integration
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-209944 (URN)000411142500234 ()978-1-5090-4237-1 (ISBN)
Conference
12th IEEE PES PowerTech Conference
Note

QC 20170704

Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-11-28Bibliographically approved
Risberg, D. & Söder, L. (2017). Hydro Power Equivalents of Complex River Systems. 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 >>Hydro Power Equivalents of Complex River Systems
2017 (English)In: 2017 IEEE MANCHESTER POWERTECH, IEEE , 2017Conference paper (Refereed)
Abstract [en]

When a hydro power producer wants to plan the production for the next day in an optimal way a precise and detailed model is needed. But when using this model to plan for a longer period of time the computational complexity increases. To overcome this problem there is a need to do a model reduction of the original system into a smaller equivalent system with almost the same properties. This paper compares the performance and computation time of different setups in the equivalent representation of the original hydro power system. This includes different setups in both topology and the piecewise linear production equivalents. It is tested independently on two rivers with 21 and 28 stations respectively and also for the case if both of these rivers were to represented by one equivalent system. The performance is evaluated with respect to error in production and computation time. It is shown that with model reduction the relative error lies between 11.5 and 5.1 percent of installed capacity and the computation time is then reduced by 99.3 and 92.5 percent respectively.

Place, publisher, year, edition, pages
IEEE, 2017
Keyword
hydro power, hydro power scheduling, optimization, model reduction, hydro power equivalents
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-215853 (URN)000411142500266 ()978-1-5090-4237-1 (ISBN)
Conference
IEEE Manchester PowerTech, JUN 18-22, 2017, Manchester, ENGLAND
Note

QC 20171016

Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2017-10-16Bibliographically approved
Stankovic, S. & Söder, L. (2017). Identification of Reactive Power Provision Boundaries of a Distribution Grid with DFIGs to a Transmission Grid. In: IEEE Innovative Smart Grid Technologies (ISGT) Europe: . Paper presented at IEEE Innovative Smart Grid Technologies (ISGT) Europe. .
Open this publication in new window or tab >>Identification of Reactive Power Provision Boundaries of a Distribution Grid with DFIGs to a Transmission Grid
2017 (English)In: IEEE Innovative Smart Grid Technologies (ISGT) Europe, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Development of the distribution grids brings alsonew challenges. With efficient exploitation of all the availableresources in the grid, many related problems can be solved. Theproblem addressed in this paper is becoming more and morecommon in the practice. There is a need to control reactivepower exchange between the grids of different voltage levels. Thisneed becomes more pronounced with increasing penetration ofdistributed generation and cables in the system. But, the causeof the problem can be also a part of its solution. This papershows that it is possible to control the reactive power exchangeto a noticeable extent using the distributed generation locatedin the grid and the on-load tap changers. The results have beenobtained from the analysis of a representative model of Swedishdistribution network with installed DFIG wind turbines. Whilenot going deeper into the control strategies, the reactive powerboundaries of the system are identified. Critical elements arefound for different case scenarios. Solutions on adjustment ofreactive power capabilities of the grid are proposed.

Keyword
DFIG, reactive power provision, radial distribution grid, voltage control, wind power
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-219933 (URN)
Conference
IEEE Innovative Smart Grid Technologies (ISGT) Europe
Note

QC 20171214

Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2017-12-14Bibliographically approved
Tomasson, E. & Söder, L. (2017). Improved Importance Sampling for Reliability Evaluation of Composite Power Systems. IEEE Transactions on Power Systems, 32(3), 2426-2434.
Open this publication in new window or tab >>Improved Importance Sampling for Reliability Evaluation of Composite Power Systems
2017 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 32, no 3, 2426-2434 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents an improved way of applying Monte Carlo simulation using the crossentropy method to calculate the risk of capacity deficit of a composite power system. By applying importance sampling for load states in addition to the generation and transmission states in a systematic manner, the proposed method is many orders of magnitude more efficient than the crude Monte Carlo simulation and considerably more efficient than other crossentropy-based algorithms that apply other ways of estimating the importance sampling distributions. An effective performance metric of system states is applied in order to find optimal importance sampling distributions during presimulation that significantly reduces the required computational effort. Simulations, using well-known IEEE reliability test systems, show that even problems that are nearly intractable using crude Monte Carlo simulation become very manageable using the proposed method.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keyword
EPNS, importance sampling, LOLP, Monte Carlo simulation, power system reliability, cross-entropy method
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-207660 (URN)10.1109/TPWRS.2016.2614831 (DOI)000399998000072 ()2-s2.0-85018313090 (Scopus ID)
Note

QC 20170602

Available from: 2017-06-02 Created: 2017-06-02 Last updated: 2017-11-13Bibliographically approved
Divshali, P. H., Choi, B. J., Liang, H. & Söder, L. (2017). Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs. Energies, 10(10), Article ID 1640.
Open this publication in new window or tab >>Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs
2017 (English)In: Energies, ISSN 1996-1073, E-ISSN 1996-1073, Vol. 10, no 10, 1640Article in journal (Refereed) Published
Abstract [en]

Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs), the importance of demand side management (DSM) programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP) method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.

National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-218236 (URN)10.3390/en10101640 (DOI)000414578400195 ()
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2017-11-29Bibliographically approved
Herre, L., Kovala, T., Söder, L. & Papahristodoulou, C. (2016). A Study on the Flexibility of Electricity Consumers for the Swedish Context: Modelling, Quantification and Analysis of Notice Time. In: : . Paper presented at Swedish Association for Energy Economics conference 2016. .
Open this publication in new window or tab >>A Study on the Flexibility of Electricity Consumers for the Swedish Context: Modelling, Quantification and Analysis of Notice Time
2016 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Demand Side Management enables flexible electricity consumers to participate in services that contribute to reliable operation of the power system. The specific market, pricing scheme and demand response program decide in which way consumers receive incentives and provide services. The consumers’ response depends on the price and other parameters. Here, the impact of notice time on the flexibility of consumers is investigated. We summarize projects and literature on consumer elasticity and conduct a simulation study. The results show the significance of notice time dependent elasticity of consumers on power balancing in forward markets.

National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-209945 (URN)
Conference
Swedish Association for Energy Economics conference 2016
Note

QCR 20170704

Available from: 2017-06-26 Created: 2017-06-26 Last updated: 2017-07-04Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8189-2420

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