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Multi-regional Transmission Planning under Interdependent Wind Uncertainty
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Electricity Market Research Group)
KTH, School of Electrical Engineering (EES), Electric Power Systems. (Electricity Market Research Group)
2014 (English)In: ENERGYCON 2014 - IEEE International Energy Conference, IEEE Computer Society, 2014, 1474-1479 p.Conference paper, Published 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. 1474-1479 p.
Series
IEEE International Energy Conference, ISSN 2164-4322
Keyword [en]
Interdependent Uncertainty of Wind Generation, Multi-regional Transmission Planning, Scenario-based Optimisation
National Category
Energy Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-157242DOI: 10.1109/ENERGYCON.2014.6850617ISI: 000343646400221Scopus ID: 2-s2.0-84904975100ISBN: 978-147992449-3 (print)OAI: oai:DiVA.org:kth-157242DiVA: diva2:769624
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
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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