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Multi-Regional Transmission Planning as a Non-Cooperative Decision-Making
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Electricity Market Research Group (EMReG))
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Electricity Market Research Group (EMReG))
2014 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 29, no 6, 2662-2671 p.Article in journal (Refereed) Published
Abstract [en]

This paper discusses the transmission planning problem in a transmission network with multiple transmission planners. Each transmission planner is responsible for a region of the transmission network and maximizes its own region social welfare taking into account the transmission planning decisions of other transmission planners. The mathematical formulation of non-cooperative transmission planning problem is proposed. This problem is modeled using the multiple-leaders single-follower game in applied mathematics. The solution concept of the worst-Nash equilibrium is introduced to solve the set-up game. Different mathematical techniques are employed to formulate the worst-Nash equilibrium solution as a mixed-integer linear programming problem. A discussion on two possible applications of the derived mathematical structure is provided. The computational complexity is also discussed. The Three-Region IEEE-RTS96 example system is employed and modified to suit the purpose of analysis. The cooperative solution where the transmission planners merge into one single transmission planner is assumed as the benchmark in this study. The cooperative transmission planning is formulated in Appendix A of the paper. The results demonstrate the utility of the proposed solution in multi-regional transmission planning.

Place, publisher, year, edition, pages
2014. Vol. 29, no 6, 2662-2671 p.
Keyword [en]
Multi-regional transmission planning, multiple-leaders single-follower game, worst-Nash equilibrium
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-157014DOI: 10.1109/TPWRS.2014.2312021ISI: 000344405600010Scopus ID: 2-s2.0-84908284181OAI: oai:DiVA.org:kth-157014DiVA: diva2:768880
Note

QC 20141205

Available from: 2014-12-05 Created: 2014-12-04 Last updated: 2017-12-05Bibliographically 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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