Optimal Transmission Entry Capacity in Wind-Integrated Power Systems
2014 (English)In: ENERGYCON 2014 - IEEE International Energy Conference, IEEE Computer Society, 2014, 1467-1473 p.Conference paper (Refereed)
Determining optimal transmission entry capacity (TEC) is very crucial for ensuring an optimal usage of transmission network. It is a complex process to determine the correct TEC levels due to high amount of factors involved. A number of policies encourages the penetration of renewable energy sources with special focus on wind and solar power. Due to intermittent nature of wind energy, the process of determining TEC levels gets ever more complex. Besides, the increasing complexity of finding the optimum TEC levels for generators, another problem is that dispatch of conventional generators are affected by wind power productions. Therefore, the dispatch of all generators become uncertain due to uncertain nature of wind. In this conditions, the optimal usage of the transmission network is very important for efficient operation of the electricity markets. The aim of this paper is to find the optimal TEC levels for electricity generating firms. It uses linear optimisation model and mixed integer linear programming model for non-firm and firm dispatch conditions respectively. The derived models are applied to the IEEE 24-Node test system.
Place, publisher, year, edition, pages
IEEE Computer Society, 2014. 1467-1473 p.
, IEEE International Energy Conference, ISSN 2164-4322
Power generation dispatch, transmission reliability standards for generators, transmission export capacity, wind energy, mixed integer programming, linear programming
Energy Systems Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-157240DOI: 10.1109/ENERGYCON.2014.6850616ISI: 000343646400220ScopusID: 2-s2.0-84905037806ISBN: 978-1-4799-2449-3OAI: oai:DiVA.org:kth-157240DiVA: diva2:769632
2014 IEEE International Energy Conference, ENERGYCON 2014; Dubrovnik; Croatia; 13 May 2014 through 16 May 2014
QC 201412082014-12-082014-12-082014-12-08Bibliographically approved