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Multi-national transmission planning using joint and disjoint solutions
KTH, School of Electrical Engineering (EES), Electric Power Systems.
KTH, School of Electrical Engineering (EES), Electric Power Systems.
2013 (English)In: European Energy Market (EEM), 2013 10th International Conference on the, IEEE conference proceedings, 2013, 1-6 p.Conference paper, Published paper (Refereed)
Abstract [en]

Transmission systems have a critical role in well-functioning of liberalised electricity markets. Diversity in generation portfolio and improving system reliability are the main incentives for significant cross-border trades between Transmission System Operators (TSOs) in Europe. Nowadays, two ways are discussed for investment in additional transmission capacity by multiple TSOs: (1) Cooperative approach and (2) non-cooperative approache. In cooperative planning, the governing body looks for the highest overall social welfare while in non-cooperative approach, each TSO decides on his own transmission system based on his social welfare. The problem is that the outcome of these two approaches might be different. Each TSO tries to maximise his own social welfare and they are reluctant to act in a joint solution where they are losing some of their social welfare. In the context, they prefer to act strategically in order to maximise their social welfare. This paper evaluates the joint and disjoint solutions of the multi-national transmission planning. We propose a simultaneous-move game between the involved TSOs. The game is formulated as a one-shot mixed-integer linear programming problem. Then the joint solution is developed by merging all TSOs in one TSO responsible for transmission planning in all TSOs' regions. The joint solution is formulated as a mixed-integer linear programming and used as the benchmark in our studies.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 1-6 p.
National Category
Energy Systems
Identifiers
URN: urn:nbn:se:kth:diva-134308DOI: 10.1109/EEM.2013.6607308Scopus ID: 2-s2.0-84891608632OAI: oai:DiVA.org:kth-134308DiVA: diva2:665768
Conference
10th International Conference on the European Energy Market (EEM), Stockholm, Sweden, May 27-31 2013
Note

QC 20131217

Available from: 2013-11-20 Created: 2013-11-20 Last updated: 2016-11-11Bibliographically approved
In thesis
1. Optimal Long-Term Generation-Transmission Planning in the Context of Multiple TSOs
Open this publication in new window or tab >>Optimal Long-Term Generation-Transmission Planning in the Context of Multiple TSOs
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Power system transmission is undergoing rapid changes by the advent of renewable resources of energy, distributed generation, market integration, etc. Transmission planning is, nowadays, about building more inter-connections between adjacent regions or connecting off-shore wind farms to the grid or augmenting the network to support new path flows of energy and is still almost entirely the responsibility of regulated transmission system operator (TSO). Moreover, a well-developed transmission planning includes anticipating the generation investment decisions made by profit-maximizing generation companies (Gencos).

Ensuring sustainable development of the power system necessitates coordination between TSO transmission investment with Gencos generation investments. Moreover, coordination between inter-connected TSOs in planning the network is also required in order to hunter the economic benefits of a robust and efficiently planned multi-area power system.

Driven by the need for more coordination of the long-term planning of the inter-connected power systems, this thesis aims to develop models to be used in analysis of the multi-TSO multi-Genco transmission and generation planning and suggest mechanisms and coordination approaches for the better functioning of the power system. This includes mathematical models for transmission planning in the context of multiple TSOs and generation-transmission investment planning based on the game theory concepts in applied mathematics and evaluating mechanisms and approaches.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 87 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:147
Keyword
Transmission-generation expansion planning, game theory, mathematical programming
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-195735 (URN)978-91-7729-111-4 (ISBN)
Public defence
2016-12-01, F3, Lindstedtsvägen 26 , KTH Campus, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20161110

Available from: 2016-11-10 Created: 2016-11-09 Last updated: 2017-05-23Bibliographically approved

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