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Two partitioning methods for multi-area studies in large power systems
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-4173-1390
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0001-6000-9363
KTH, School of Electrical Engineering (EES), Electric Power Systems.ORCID iD: 0000-0002-8189-2420
2015 (English)In: International Transactions on Electrical Energy Systems, E-ISSN 2050-7038, Vol. 25, no 4, 648-660 p.Article in journal (Refereed) Published
Abstract [en]

Multi-area studies are an important tool for today's and future power systems. In this paper, a two-step algorithm for creating multi-area models is presented that, first, identifies areas, and, second, computes reduced models of these areas. For the first step, two new methods to identify areas in power systems have been developed. The first method is based upon spectral partitioning, whereas the second one is formulated as a linear optimization problem. The methods are compared in terms of computation time on the IEEE 118 bus system, and the first method clearly stands out in this comparison. The first method is then applied to the IEEE 300 bus system and to a model of the Polish power system with 2746 buses to study how it scales in large power systems. Even in the latter case, it runs in less than 30s. For the second step, existing equivalencing methods can be used. As an example, radial, equivalent, and independent equivalents are used to model the areas identified by the partitioning methods. The partitioning and equivalencing methods have been tested on the IEEE 118 bus system by running 1000 regular and optimal power flows. Comparisons with the original IEEE 118 bus system in terms of flows, costs and losses are carried out.

Place, publisher, year, edition, pages
2015. Vol. 25, no 4, 648-660 p.
Keyword [en]
spectral partitioning, power system partitioning, multi-area study, REI
National Category
Energy Systems
URN: urn:nbn:se:kth:diva-158949DOI: 10.1002/etep.1864ISI: 000353388700006ScopusID: 2-s2.0-84928023607OAI: diva2:781356

QC 20150805

Available from: 2015-01-16 Created: 2015-01-16 Last updated: 2015-08-05Bibliographically 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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