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Efficient Simulation Methods of Large Power Systems with High Penetration of Renewable Energy Resources: Theory and Applications
KTH, School of Electrical Engineering (EES), Electric Power Systems.
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.
Series
TRITA-EE, ISSN 1653-5146 ; 2015:004TRITA-EE, ISSN 1653-5146
Keyword [en]
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
Identifiers
URN: urn:nbn:se:kth:diva-158946ISBN: 978-91-7595-421-9 (print)OAI: oai:DiVA.org:kth-158946DiVA: diva2:781109
Public defence
2015-02-06, Kollegiesalen, Brinellvägen 10, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

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
List of papers
1. Scenario reduction, network aggregation, and DC linearization: which simplifications matter most in market simulations?
Open this publication in new window or tab >>Scenario reduction, network aggregation, and DC linearization: which simplifications matter most in market simulations?
(English)Manuscript (preprint) (Other academic)
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-158950 (URN)
Note

QS 2015

Available from: 2015-01-16 Created: 2015-01-16 Last updated: 2015-01-16Bibliographically approved
2. Two partitioning methods for multi-area studies in large power systems
Open this publication in new window or tab >>Two partitioning methods for multi-area studies in large power systems
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.

Keyword
spectral partitioning, power system partitioning, multi-area study, REI
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-158949 (URN)10.1002/etep.1864 (DOI)000353388700006 ()2-s2.0-84928023607 (Scopus ID)
Note

QC 20150805

Available from: 2015-01-16 Created: 2015-01-16 Last updated: 2017-12-05Bibliographically approved
3. REI method for multi-area modeling of power systems
Open this publication in new window or tab >>REI method for multi-area modeling of power systems
2014 (English)In: International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, E-ISSN 1879-3517, Vol. 60, 283-292 p.Article in journal (Refereed) Published
Abstract [en]

Interconnections between different electricity markets and high penetration levels of wind power have resulted in an increase in the size of power systems with higher levels of uncertainties. This paper presents an algorithm for bulk power system simulations with large wind power penetrations, based on multi-area modeling with transmission constraints. The present study differs from previous multi-area studies by taking into account the capacity of intra-area lines during the simulations, which leads to more accurate results. The method that we introduce consists of three steps. First, a power system with high wind power penetration is divided into several areas using a practical measure, admittance matrix. Second, the internal system of each area is replaced with a smaller system, to which an improved version of the REI (Radial, Equivalent, and Independent) method is developed and applied. Finally, the technical properties of the reduced power system (such as voltage limits and transmission capacities) are tuned by adjusting optimization, in a way that the simulation results of the reduced power system are comparable with those of the original system. The IEEE 30-bus and IEEE 118-bus test systems are used to show the efficiency of the proposed algorithm.

Keyword
Multi-area modeling, REI equivalent method, System partitioning, Wind power penetration
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-145379 (URN)10.1016/j.ijepes.2014.03.002 (DOI)000336340400028 ()2-s2.0-84898065151 (Scopus ID)
Note

QC 20140520

Available from: 2014-05-20 Created: 2014-05-19 Last updated: 2017-12-05Bibliographically approved
4. ATC-Based System Reduction for Planning Power Systems With Correlated Wind and Loads
Open this publication in new window or tab >>ATC-Based System Reduction for Planning Power Systems With Correlated Wind and Loads
2015 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, 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.

Keyword
Investment planning, power system reduction, renewable energy resources, wind power correlations
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-158954 (URN)10.1109/TPWRS.2014.2326615 (DOI)000346734000041 ()2-s2.0-84919933961 (Scopus ID)
Note

QC 20150116

Available from: 2015-01-16 Created: 2015-01-16 Last updated: 2017-12-05Bibliographically approved
5. Power system equivalents for spinning reserve determination in multi-area power systems
Open this publication in new window or tab >>Power system equivalents for spinning reserve determination in multi-area power systems
(English)Manuscript (preprint) (Other academic)
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-158951 (URN)
Note

QS 2015

Available from: 2015-01-16 Created: 2015-01-16 Last updated: 2015-01-16Bibliographically approved
6. System Reduction Techniques for Storage Allocation in Large Power Systems
Open this publication in new window or tab >>System Reduction Techniques for Storage Allocation in Large Power Systems
(English)Manuscript (preprint) (Other academic)
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-158952 (URN)
Note

QS 2015

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

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