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Reactive Coordination of Transmission-generation Investment Planning
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Electricity Market Research Group)
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Electricity Market Research Group)
KTH, School of Electrical Engineering (EES), Electric power and energy systems. (Electricity Market Research Group)
2015 (English)In: 2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

This paper discusses the reactive coordination of generation and transmission planning in a competitive electricity market. The transmission planner is assumed as a social cost minimizing entity and the behavior of generators is modeled as the Nash equilibrium of a strategic game. Reactive coordination forms a mixed-integer optimisation problem which can be solve by commercially available softwares. This problem is solved for two cases of with and without transmission charges. Efficient coordination of transmission and generation planning is considered as the benchmark in this study. The developed model is implemented for a 6-node illustrative example and IEEE-RTS96 test system and the results are compared.

Place, publisher, year, edition, pages
2015.
Series
International Conference on the European Energy Market, ISSN 2165-4077
Keyword [en]
Mixed-integer optimisation problem, reactive coordination, system planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-191045DOI: 10.1109/EEM.2015.7216600ISI: 000380377200001Scopus ID: 2-s2.0-84952020651ISBN: 978-1-4673-6692-2 (print)OAI: oai:DiVA.org:kth-191045DiVA: diva2:955497
Conference
12th International Conference on the European Energy Market (EEM), MAY 19-22, 2015, Lisbon, PORTUGAL
Note

QC 20160825

Available from: 2016-08-25 Created: 2016-08-23 Last updated: 2016-12-08Bibliographically 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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CiteExportLink to record
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Citation style
  • apa
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Output format
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