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ATC-Based System Reduction for Planning Power Systems With Correlated Wind and Loads
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0001-6000-9363
2015 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, Vol. 30, no 1, 429-438 p.Article in journal (Refereed) Published
Abstract [en]

Simulations of production costs, flows, and prices are crucial inputs to generation and transmission planning studies. To calculate average system performance for many alternatives over long time periods, it is necessary to simulate large numbers of hourly combinations of renewable production and loads across large regions. As this is usually impractical for full network representations of such systems, aggregation of buses and lines is desirable. We propose an improved aggregation method for creating multi-area representations of power systems that yields more accurate estimates of the quantities required by planners. The method is based on partitioning the original large system into smaller areas and making a reduced equivalent for each area. The partitioning is based on available transfer capability (ATC) between each pair of network buses. Because ATC depends on net load conditions, separate partitions are defined for subsets of similar load and wind conditions, significantly enhancing the accuracy of optimal power flow solutions. We test the method on the IEEE 118-bus test system and the Polish 3120-bus system considering 150 load/wind scenarios, comparing the results to those of admittance-based partitioning methods. Accuracy is improved with only a negligible increase in simulation time.

Place, publisher, year, edition, pages
2015. Vol. 30, no 1, 429-438 p.
Keyword [en]
Investment planning, power system reduction, renewable energy resources, wind power correlations
National Category
Energy Systems
URN: urn:nbn:se:kth:diva-158954DOI: 10.1109/TPWRS.2014.2326615ISI: 000346734000041ScopusID: 2-s2.0-84919933961OAI: diva2:781372

QC 20150116

Available from: 2015-01-16 Created: 2015-01-16 Last updated: 2015-01-30Bibliographically approved
In thesis
1. Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications
Open this publication in new window or tab >>Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications
2015 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Electrical energy is one of the most common forms of energy these days. Consequently, electric power system is an indispensable part of any society. However, due to the deregulation of electricity markets and the growth in the share of power generation by uncontrollable renewable energies such as wind and solar, power system simulations are more challenging than earlier. Thus, new techniques for simplifying these simulations are needed. One important example of such simplification techniques is the power system reduction.

Power system reduction can be used at least for four different purposes: a) Simplifying the power system simulations, b) Reducing the computational complexity, c) Compensating the data unavailability, and d) Reducing the existing uncertainty. Due to such reasons, power system reduction is an important and necessary subject, but a challenging task to do. Power system reduction is even more essential when system operators are facing very large-scale power systems and when the renewable energy resources like hydro, wind, and solar have a high share in power generation.

This thesis focuses on the topic of large-scale power system reduction with high penetration of renewable energy resources and tries to pursue the following goals:

• The thesis first reviews the different methods which can be used for simplifying the power system studies, including the power system reduction. A comparison among three important simplification techniques is also performed to reveal which simplification results in less error and more simulation time decrement.

• Secondly, different steps and methods for power system reduction, including network aggregation and generation aggregation, are introduced, described and discussed.

• Some improvements regarding the subject of power system reduction, i.e. on both network aggregation and generation aggregation, are developed.

• Finally, power system reduction is applied to some power system problems and the results of these applications are evaluated.

A general conclusion is that using power system simplification techniques and specially the system reduction can provides many important advantages in studying large-scale power systems with high share of renewable energy generations. In most of applications, not only the power system reduction highly reduces the complexity of the power system study under consideration, but it also results in small errors. Therefore, it can be used as an efficient method for dealing with current bulk power systems with huge amounts of renewable and distributed generations.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2015. 120 p.
TRITA-EE, ISSN 1653-5146 ; 2015:004TRITA-EE, ISSN 1653-5146
Power system simplification, power system reduction, power system aggregation, power system equivalencing, renewable energy resources, wind power modelling, storage allocation problem, spinning reserve determination, multi-area power system analyses, power system operation and planning, electricity market analysis.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
urn:nbn:se:kth:diva-158946 (URN)978-91-7595-421-9 (ISBN)
Public defence
2015-02-06, Kollegiesalen, Brinellvägen 10, KTH, Stockholm, 10:00 (English)

The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively. QC 20150116

Available from: 2015-01-16 Created: 2015-01-15 Last updated: 2015-07-02Bibliographically approved

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