publication . Conference object . Preprint . 2017

The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios

Jonas Hörsch; Tom Brown;
Open Access
  • Published: 25 Jul 2017
  • Publisher: IEEE
Abstract
The effects of the spatial scale on the results of the optimisation of transmission and generation capacity in Europe are quantified under a 95% CO2 reduction compared to 1990 levels, interpolating between one-node-per-country solutions and many-nodes-per-country. The trade-offs that come with higher spatial detail between better exposure of transmission bottlenecks, exploitation of sites with good renewable resources (particularly wind power) and computational limitations are discussed. It is shown that solutions with no grid expansion beyond today's capacities are only around 20% more expensive than with cost-optimal grid expansion.
Persistent Identifiers
Subjects
free text keywords: Physics - Physics and Society, Physics - Applied Physics, Distributed computing, Grid, Renewable energy, business.industry, business, Renewable resource, Wind power, Transmission (mechanics), law.invention, law, Spatial ecology, Environmental science
38 references, page 1 of 3

[1] G. Czisch, “Szenarien zur zuku¨nftigen Stromversorgung,” PhD thesis, Universita¨t Kassel, 2005.

[2] Y. Scholz, “Renewable energy based electricity supply at low costs - Development of the REMix model and application for Europe,” PhD thesis, Universita¨t Stuttgart, 2012. DOI: 10.18419/opus-2015.

[3] Rodriguez, R.A., Becker, S., Andresen, G., Heide, D., and Greiner, M., “Transmission needs across a fully renewable European power system,” Renewable Energy, vol. 63, pp. 467-476, 2014.

[4] D. Schlachtberger, T. Brown, S. Schramm, and M. Greiner, “The benefits of cooperation in a highly renewable european electricity network,” Energy, 2017, accepted. arXiv: 1704.05492.

[5] “Kombikraftwerk 2: Abschlussbericht,” Fraunhofer IWES et al., Tech. Rep., Aug. 2014. [Online]. Available: http : / / www . kombikraftwerk . de / mediathek / abschlussbericht.html.

[6] C. Nabe, “Impacts of restricted transmission grid expansion in a 2030 perspective in germany,” in Wind Integration Workshop, Berlin, 2014.

[7] Egerer, J., Lorenz, C., and Gerbaulet, C., “European electricity grid infrastructure expansion in a 2050 context,” in 10th International Conference on the European Energy Market, IEEE, 2013, pp. 1-7. DOI: 10 . 1109 / EEM.2013.6607408.

[8] Brown, T., Schierhorn, P., Tro¨ster, E., and Ackermann, T., “Optimising the European transmission system for 77% renewable electricity by 2030,” IET Renewable Power Generation, vol. 10, no. 1, pp. 3-9, 2016. DOI: 10.1049/iet-rpg.2015.0135.

[9] S. Deckmann, A. Pizzolante, A. Monticelli, B. Stott, and O. Alsac, “Studies on power system load flow equivalencing,” IEEE Transactions on Power Apparatus and Systems, vol. PAS-99, no. 6, pp. 2301-2310, Nov. 1980, ISSN: 0018-9510. DOI: 10 . 1109 / TPAS . 1980 . 319798.

[10] A. K. Jain, M. N. Murty, and P. J. Flynn, “Data clustering: A review,” ACM Comput. Surv., vol. 31, no. 3, pp. 264-323, Sep. 1999, ISSN: 0360-0300. DOI: 10. 1145/331499.331504.

[11] J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-means clustering algorithm,” Applied Statistics, vol. 28, no. 1, pp. 100-108, 1979.

[12] H. Temraz, M. Salama, and V. Quintana, “Application of partitioning techniques for decomposing largescale electric power networks,” International Journal of Electrical Power & Energy Systems, vol. 16, no. 5, pp. 301-309, 1994, ISSN: 0142-0615. DOI: 10 . 1016 / 0142-0615(94)90034-5.

[13] S. Blumsack, P. Hines, M. Patel, C. Barrows, and E. C. Sanchez, “Defining power network zones from measures of electrical distance,” in 2009 IEEE Power Energy Society General Meeting, Jul. 2009, pp. 1-8. DOI: 10.1109/PES.2009.5275353.

[14] E. Cotilla-Sanchez, P. D. H. Hines, C. Barrows, S. Blumsack, and M. Patel, “Multi-attribute partitioning of power networks based on electrical distance,” IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4979-4987, Nov. 2013, ISSN: 0885-8950. DOI: 10. 1109/TPWRS.2013.2263886.

[15] C. Hamon, E. Shayesteh, M. Amelin, and L. So¨der, “Two partitioning methods for multi-area studies in large power systems,” International Transactions on Electrical Energy Systems, vol. 25, no. 4, pp. 648-660, 2015, ETEP-12-0480.R1, ISSN: 2050-7038. DOI: 10 . 1002/etep.1864.

38 references, page 1 of 3
Abstract
The effects of the spatial scale on the results of the optimisation of transmission and generation capacity in Europe are quantified under a 95% CO2 reduction compared to 1990 levels, interpolating between one-node-per-country solutions and many-nodes-per-country. The trade-offs that come with higher spatial detail between better exposure of transmission bottlenecks, exploitation of sites with good renewable resources (particularly wind power) and computational limitations are discussed. It is shown that solutions with no grid expansion beyond today's capacities are only around 20% more expensive than with cost-optimal grid expansion.
Persistent Identifiers
Subjects
free text keywords: Physics - Physics and Society, Physics - Applied Physics, Distributed computing, Grid, Renewable energy, business.industry, business, Renewable resource, Wind power, Transmission (mechanics), law.invention, law, Spatial ecology, Environmental science
38 references, page 1 of 3

[1] G. Czisch, “Szenarien zur zuku¨nftigen Stromversorgung,” PhD thesis, Universita¨t Kassel, 2005.

[2] Y. Scholz, “Renewable energy based electricity supply at low costs - Development of the REMix model and application for Europe,” PhD thesis, Universita¨t Stuttgart, 2012. DOI: 10.18419/opus-2015.

[3] Rodriguez, R.A., Becker, S., Andresen, G., Heide, D., and Greiner, M., “Transmission needs across a fully renewable European power system,” Renewable Energy, vol. 63, pp. 467-476, 2014.

[4] D. Schlachtberger, T. Brown, S. Schramm, and M. Greiner, “The benefits of cooperation in a highly renewable european electricity network,” Energy, 2017, accepted. arXiv: 1704.05492.

[5] “Kombikraftwerk 2: Abschlussbericht,” Fraunhofer IWES et al., Tech. Rep., Aug. 2014. [Online]. Available: http : / / www . kombikraftwerk . de / mediathek / abschlussbericht.html.

[6] C. Nabe, “Impacts of restricted transmission grid expansion in a 2030 perspective in germany,” in Wind Integration Workshop, Berlin, 2014.

[7] Egerer, J., Lorenz, C., and Gerbaulet, C., “European electricity grid infrastructure expansion in a 2050 context,” in 10th International Conference on the European Energy Market, IEEE, 2013, pp. 1-7. DOI: 10 . 1109 / EEM.2013.6607408.

[8] Brown, T., Schierhorn, P., Tro¨ster, E., and Ackermann, T., “Optimising the European transmission system for 77% renewable electricity by 2030,” IET Renewable Power Generation, vol. 10, no. 1, pp. 3-9, 2016. DOI: 10.1049/iet-rpg.2015.0135.

[9] S. Deckmann, A. Pizzolante, A. Monticelli, B. Stott, and O. Alsac, “Studies on power system load flow equivalencing,” IEEE Transactions on Power Apparatus and Systems, vol. PAS-99, no. 6, pp. 2301-2310, Nov. 1980, ISSN: 0018-9510. DOI: 10 . 1109 / TPAS . 1980 . 319798.

[10] A. K. Jain, M. N. Murty, and P. J. Flynn, “Data clustering: A review,” ACM Comput. Surv., vol. 31, no. 3, pp. 264-323, Sep. 1999, ISSN: 0360-0300. DOI: 10. 1145/331499.331504.

[11] J. A. Hartigan and M. A. Wong, “Algorithm AS 136: A K-means clustering algorithm,” Applied Statistics, vol. 28, no. 1, pp. 100-108, 1979.

[12] H. Temraz, M. Salama, and V. Quintana, “Application of partitioning techniques for decomposing largescale electric power networks,” International Journal of Electrical Power & Energy Systems, vol. 16, no. 5, pp. 301-309, 1994, ISSN: 0142-0615. DOI: 10 . 1016 / 0142-0615(94)90034-5.

[13] S. Blumsack, P. Hines, M. Patel, C. Barrows, and E. C. Sanchez, “Defining power network zones from measures of electrical distance,” in 2009 IEEE Power Energy Society General Meeting, Jul. 2009, pp. 1-8. DOI: 10.1109/PES.2009.5275353.

[14] E. Cotilla-Sanchez, P. D. H. Hines, C. Barrows, S. Blumsack, and M. Patel, “Multi-attribute partitioning of power networks based on electrical distance,” IEEE Transactions on Power Systems, vol. 28, no. 4, pp. 4979-4987, Nov. 2013, ISSN: 0885-8950. DOI: 10. 1109/TPWRS.2013.2263886.

[15] C. Hamon, E. Shayesteh, M. Amelin, and L. So¨der, “Two partitioning methods for multi-area studies in large power systems,” International Transactions on Electrical Energy Systems, vol. 25, no. 4, pp. 648-660, 2015, ETEP-12-0480.R1, ISSN: 2050-7038. DOI: 10 . 1002/etep.1864.

38 references, page 1 of 3
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