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Optimal Long-Term Generation-Transmission Planning in the Context of Multiple TSOs
KTH, School of Electrical Engineering (EES), Electric power and energy systems.
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 [en]
Transmission-generation expansion planning, game theory, mathematical programming
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-195735ISBN: ISBN 978-91-7729-111-4OAI: oai:DiVA.org:kth-195735DiVA: diva2:1045360
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: 2016-11-22Bibliographically approved
List of papers
1. Coordination of Generation and Transmission Development through Generation Transmission Charges - A Game Theoretical Approach
Open this publication in new window or tab >>Coordination of Generation and Transmission Development through Generation Transmission Charges - A Game Theoretical Approach
(English)Article in journal (Refereed) Accepted
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-195684 (URN)10.1109/TPWRS.2016.2581218 (DOI)
Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2016-11-11
2. Sequential Coordination of Transmission Expansion Planning with Strategic Generation Investments
Open this publication in new window or tab >>Sequential Coordination of Transmission Expansion Planning with Strategic Generation Investments
2016 (English)Article in journal (Refereed) Accepted
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-195683 (URN)10.1109/TPWRS.2016.2616372 (DOI)
Note

QCR 20161110

Available from: 2016-11-08 Created: 2016-11-08 Last updated: 2016-11-22Bibliographically approved
3. Multi-Regional Transmission Planning as a Non-Cooperative Decision-Making
Open this publication in new window or tab >>Multi-Regional Transmission Planning as a Non-Cooperative Decision-Making
2014 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, 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.

Keyword
Multi-regional transmission planning, multiple-leaders single-follower game, worst-Nash equilibrium
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-157014 (URN)10.1109/TPWRS.2014.2312021 (DOI)000344405600010 ()2-s2.0-84908284181 (ScopusID)
Note

QC 20141205

Available from: 2014-12-05 Created: 2014-12-04 Last updated: 2016-11-11Bibliographically approved
4. Multi-national transmission planning using joint and disjoint solutions
Open this publication in new window or tab >>Multi-national transmission planning using joint and disjoint solutions
2013 (English)In: European Energy Market (EEM), 2013 10th International Conference on the, IEEE conference proceedings, 2013, 1-6 p.Conference 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
National Category
Energy Systems
Identifiers
urn:nbn:se:kth:diva-134308 (URN)10.1109/EEM.2013.6607308 (DOI)2-s2.0-84891608632 (ScopusID)
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
5. Reactive Coordination of Transmission-generation Investment Planning
Open this publication in new window or tab >>Reactive Coordination of Transmission-generation Investment Planning
2015 (English)In: 2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015Conference paper (Refereed)
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.

Series
, International Conference on the European Energy Market, ISSN 2165-4077
Keyword
Mixed-integer optimisation problem, reactive coordination, system planning
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-191045 (URN)10.1109/EEM.2015.7216600 (DOI)000380377200001 ()2-s2.0-84952020651 (ScopusID)978-1-4673-6692-2 (ISBN)
External cooperation:
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: 2016-11-11Bibliographically approved
6. Multi-regional Transmission Planning under Interdependent Wind Uncertainty
Open this publication in new window or tab >>Multi-regional Transmission Planning under Interdependent Wind Uncertainty
2014 (English)In: ENERGYCON 2014 - IEEE International Energy Conference, IEEE Computer Society, 2014, 1474-1479 p.Conference paper (Refereed)
Abstract [en]

Planning and operation of power systems with large amounts of wind power is a challenging topic in nowadays power system researches. These studies assess the impact of wind power's variability and uncertainty on power system. Wind power uncertainty has some characteristics such as interdependent uncertainty between adjacent regions. This paper evaluates the effect of wind power's uncertainty and its interdependent characteristic between adjacent regions on cross-border lines investment in multi-region transmission systems. Transmission planners are the responsible bodies in each region and maximise their own region social welfare considering the transmission planning decisions of other transmission planners. In order to accomplish this task, the model developed in [1] for noncooperative transmission planning and uncertainty modeling is used with some modifications according to the objective of this paper. The approach is simulated on a 9-bus network consisting of three inter-connected transmission systems for two cases of (1) independent uncertainty between wind resources and (2) complete interdependent uncertainty between wind resources.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014
Series
, IEEE International Energy Conference, ISSN 2164-4322
Keyword
Interdependent Uncertainty of Wind Generation, Multi-regional Transmission Planning, Scenario-based Optimisation
National Category
Energy Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-157242 (URN)10.1109/ENERGYCON.2014.6850617 (DOI)000343646400221 ()2-s2.0-84904975100 (ScopusID)978-147992449-3 (ISBN)
Conference
2014 IEEE International Energy Conference, ENERGYCON 2014; Dubrovnik; Croatia; 13 May 2014 through 16 May 2014
Note

QC 20141208

Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2016-11-11Bibliographically approved
7. Free Riding Effect in Multi-national Transmission Expansion Planning
Open this publication in new window or tab >>Free Riding Effect in Multi-national Transmission Expansion Planning
2013 (English)In: 2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013, IEEE , 2013, 6695419- p.Conference paper (Refereed)
Abstract [en]

The transmission system in EU is run by different TSOs with different nationalities, ownerships, and internal policies. This makes the transmission planning for the European Integrated Electricity Market difficult. In fact, each TSO tries to act strategically in order to maximise his social welfare and they are reluctant to act in a cooperative solution. In the context of multiple inter-connected transmission systems, it's very important to incentives TSOs to act in a cooperative solution. However, free riders are always waiting for other TSOs to push on transmission expansion and they make benefit out of it without contributing to the expansion. In this paper, we model the free riding effect and analyse its economic consequences in an inter-connected network by comparing two cases: considering congestion revenue just for cross-border lines and considering congestion revenue not only for cross-border lines but also for intra-area lines. Each transmission planner is modelled as a social-welfare maximising firm using a mixed-integer linear programming problem. This study is carried out on a Nine-bus network consisting of three TSOs.

Place, publisher, year, edition, pages
IEEE, 2013
Series
, IEEE PES Innovative Smart Grid Technologies Conference Europe, ISSN 2165-4816
Keyword
Transmission planning, Free riding effect, Congestion cost
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-142588 (URN)10.1109/ISGTEurope.2013.6695419 (DOI)000330939800185 ()2-s2.0-84893565586 (ScopusID)978-1-4799-2984-9 (ISBN)
Conference
2013 4th IEEE/PES Innovative Smart Grid Technologies Europe, ISGT Europe 2013; Lyngby; Denmark; 6 October 2013 through 9 October 2013
Note

QC 20140312

Available from: 2014-03-12 Created: 2014-03-07 Last updated: 2016-11-11Bibliographically approved
8. Generation Expansion and Retirement Planning Based on the Stochastic Programming
Open this publication in new window or tab >>Generation Expansion and Retirement Planning Based on the Stochastic Programming
2013 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 104, 138-145 p.Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2013
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-178278 (URN)
Note

QC 20160111

Available from: 2015-12-07 Created: 2015-12-07 Last updated: 2016-11-11Bibliographically approved

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