Abstract
This chapter describes a methodology to integrate DC power flow modeling and N − 1 security into JRC-EU-TIMES, a multiregional TIMES energy system model. It improves the accuracy of modeling cross-border transmission expansion especially for energy systems with higher penetration of renewable energy sources (RES). We describe three grid representations with increasing accuracy of modeling power flow constraints: (1) basic trade flow without DC power flow, (2) DC power flow with fixed line characteristics and (3) DC power flow with a discretization algorithm, endogenous grid characteristics and N − 1 contingency analysis. The last approach uses the newly developed Integrated TIMES–NEPLAN Software (ITNS) that couples JRC-EU-TIMES energy system modeling with NEPLAN-based electricity grid modeling. To evaluate the improvement of the JRC-EU-TIMES modeling mechanisms, the three grid representations are compared. We conclude that cross border transmission expansion is cost efficient regardless of the grid representation. The impact of power flow constraints is limited for the analyzed case study under the assumption of perfect markets. However, integrating these constraints is leading to slightly higher cross-border capacities for most countries mainly in periods with limited availability of variable renewable electricity. This occurs when grid extensions and peaking power in some strategic countries are more competitive than local peaking power for each country. This is possible without a substantial increase in model running time.
The views expressed are purely those of the authors and may not in any circumstances be regarded as stating an official position of the European Commission.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The N − 1 criterion for system operation requires that the system is able to tolerate the outage of any one component (line, generator, transformer) without disruption of the operation of the electrical system.
- 2.
References
Alvarez Lopez J, Ponnambalam K, Quintana VH (2007) Generation and transmission expansion under risk using stochastic programming. IEEE Trans Power Syst 22:1369–1378
BCP Busarello+Cott+Partner Inc. (2014) NEPLAN software. http://www.neplan.ch. Accessed 14 Sep 2014
Bent R, Berscheid A, Loren Toole G (2011) Generation and transmission expansion planning for renewable energy integration. Paper presented at the 17th power systems computation conference, Stockholm, Sweden, 22–26 Aug 2011
Chuang AS, Wu F, Varaiya P (2001) A game-theoretic model for generation expansion planning: problem formulation and numerical comparisons. IEEE Trans Power Syst 16:885–891
Contaxi E, Vournas CD, Kabouris J (2012) A probabilistic methodology for transmission planning under severe uncertainties. Paper presented at the 12th international conference on probabilistic methods applied to power systems, Istanbul, Turkey, 10–14 June 2012
Deane JP, Chiodi A, Gargiulo M, Gallachoir BPO (2012) Soft-linking of a power systems model to an energy systems model. 8th World Energy System Conference, WESC 2010, vol 42, pp 303–312
El-Debeiky SM, Hasanien NE (2000) Rule-based system for determining unit locations of a developed generation expansion plan for transmission planning. IEE Proc Gener Transm Distrib 147:62–68
Georgilakis PS (2010) Market-based transmission expansion planning by improved differential evolution. Int J Electr Power Energy Syst 32:450–456
Hamasaki H (2014) Analysis on the design of Japan FIT after Fukushima disaster using GIS and TIMES integrated model. J Energy Power Eng 8:217–225
Hemmati R, Hooshmand RA, Khodabakhshian A (2013a) State-of-the-art of transmission expansion planning: comprehensive review. Renew Sustain Energy Rev 23:312–319
Hemmati R, Hooshmand RA, Khodabakhshian A (2013b) Comprehensive review of generation and transmission expansion planning. IET Gener Transm Distrib 7:955–964
International Atomic Energy Agency (2001) Wien automatic system planning (WASP) package: a computer code for power generation system expansion planning, Version WASP-IV User’s manual. http://www-pub.iaea.org/MTCD/Publications/PDF/CMS-16.pdf. Accessed 14 Sept 2014
Kabouris J, Contaxis GC (1991) Optimum expansion planning of an unconventional generation system operating in parallel with a large scale network. IEEE Trans Energy Conv 6:394–400
Loulou R, Remme U, Kanudia A, Lehtila A, Goldstein G (2005) Documentation for the TIMES model. http://www.iea-etsap.org/web/Docs/TIMESDoc-Intro.pdf. Accessed 14 Sep 2014
Orfanos GA, Georgilakis PS, Hatziargyriou ND (2013) Transmission expansion planning of systems with increasing wind power integration. IEEE Trans Power Syst 28:1355–1362
REALISEGRID (2010) Research, methodologies and technologies for the effective development of pan-European key grid infrastructures to support the achievement of a reliable, competitive and sustainable electricity supply. http://realisegrid.rse-web.it/content/files/File/Publications%20and%20results/Interim%20report.pdf. Accessed 14 Sept 2014
Roh J, Shahidehpour M, Fu Y (2007) Market-based coordination of transmission and generation capacity planning. IEEE Trans Power Syst 22:1406–1419
Romero R, Monticelli A, Garcia A, Haffner S (2002) Test systems and mathematical models for transmission network expansion planning. IEE Proc Gener Transm Distrib 149:27–36
Sakellaridis N, Mantzaris J, Nakos C, Giannakidis G, Tigas K (2011) Hellenic power generation system: towards meeting the national targets up to 2020. Paper presented at the 10th international conference on environment and electrical engineering, Rome, Italy, 8–11 May 2011
Seifi H, Sepasian MS (2011) Electric power system planning—issues, algorithms and solutions. Springer, Berlin
Sepasian MS, Seifi H, Foroud AA, Hatami AR (2009) A multiyear security constrained hybrid generation-transmission expansion planning algorithm including fuel supply costs. IEEE Trans Power Syst 24:1609–1618
Tor OB, Guven AN, Shahidehpour M (2008) Congestion-driven transmission planning considering the impact of generator expansion. IEEE Trans Power Syst 23:781–789
UKERC (2009) Making the transition to a secure and low-carbon energy system. http://www.ukerc.ac.uk/Downloads/PDF/U/UKERCEnergy2050/0906UKERC2050.pdf. Accessed 14 Sept 2014
Zhu J, Chow M (1997) A review of emerging techniques on generation expansion planning. IEEE Trans Power Syst 12:1722–1728
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Nijs, W. et al. (2015). Improved Representation of the European Power Grid in Long Term Energy System Models: Case Study of JRC-EU-TIMES. In: Giannakidis, G., Labriet, M., Ó Gallachóir, B., Tosato, G. (eds) Informing Energy and Climate Policies Using Energy Systems Models. Lecture Notes in Energy, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-16540-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-16540-0_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16539-4
Online ISBN: 978-3-319-16540-0
eBook Packages: EnergyEnergy (R0)