Abstract
The impending regulation of European electricity markets has led to an increasing cost pressure for network system operators. This applies in equal measure to transmission and distribution network operators. At the same time, boundary conditions of network planning are becoming more and more uncertain as a consequence of unbundling formerly integrated generation, transmission and distribution companies. To reduce network costs without worsening security and quality of supply, planning of transmission and distribution networks needs to be improved. For this, several computer-based optimization methods have been developed over the last years. In this chapter, boundary conditions and degrees of freedom that need to be taken into account during network optimization are discussed at first. Following that, the most commonly used optimization algorithms are presented, and the practical application of those methods is summarized.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berizzi A, Silvestri A, Zaninelli D, Massucco S (1993) Short-circuit current calculation: A comparison between methods of IEC and ANSI standards using dynamic simulation as reference. Industry Applications Society Annual Meeting, IEEE Conference Record 2:1420–1427
Binato S, Pereira MVF, Grnaville S (2001) A new Benders decomposition approach to solve power transmission network design problems. IEEE Trans Power Syst 16:235–240
Bundesnetzagentur (2006). Bericht der Bundesnetzagentur nach §112a EnWG zur Einführung der Anreizregulierung nach §21a EnWG, http://www.bundesnetzagentur.de/media/archive/6715.pdf
Commission of the European Communities (2009) A European Strategy for Sustainable, Competitive and Secure Energy. http://ec.europa.eu/energy/green-paper-energy/index_en.htm
Cooper W, Tone K (1997) Measures of inefficiency in data envelopment analysis and stochastic frontier estimation. Eur J Oper Res 99(1):72–88
Da Silva EL, Ortiz JMA, De Oliveira GC, Binato S (2002) Transmission network expansion planning under a Tabu Search approach. IEEE Trans Power Syst 16(1):62–68
Dorigo M, Maniezzo V, Colorni A (1996) Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man and Cybernetics 26:29–41
Haubrich H-J (2001) Elektrische Energieversorgungssysteme – Technische und wirtschaftliche Zusammenhänge. Scriptum zur Vorlesung Elektrische Anlagen. Institute of Power Systems and Power Economics (IAEW), RWTH Aachen University
Latorre G, Cruz RD, Areiza JM, Villegas A (2003) Classification of publications and models on transmission expansion planning. IEEE Trans Power Syst 18(2):938–946
Maurer C (2004) Integrierte Grundsatz- und Ausbauplanung für Hochspannungsnetze. Doctoral Ph.D. thesis, RWTH Aachen University
Maurer C, Paulun T, Haubrich H-J (2006) Planning of High Voltage Networks under Special Consideration of Uncertainties of Load and Generation. Proceedings of CIGRE Session 41
Michalewicz Z (1994) Genetic algorithms+data structures=evolution programs, 2nd edn. Springer Verlag, Berlin Heidelberg New York
Neimane V (2001) On development planning of electricity distribution networks. Doctoral Ph.D. thesis, Royal Institute of Technology Stockholm
Neumann K, Morlock M (1993) Operations research, Carl Hanser Verlag, Wien, München
Oliveira GC, Costa APC, Binato S (2002) Large scale transmission network planning using optimization and heuristic techniques. IEEE Trans Power Syst 10(4):1828–1834
Paulun T (2006) Strategic expansion planning for electrical networks considering uncertainties. Eur Trans on Electrical Power 16(6):661–671
Paulun T (2007) Strategische Ausbauplanung für elektrische Netze unter Unsicherheit. Doctoral Ph.D. thesis, RWTH Aachen University
Romero R, Monticelli A (1994) A hierarchical decomposition approach for transmission network expansion planning. IEEE Trans Power Syst 9(1):373–380
Sauma EE, Oren SS (2005) Conflicting investment incentives in electricity transmission. IEEE Power Engineering Society General Meeting 3:2789–2790
Sauma EE, Oren SS (2007) Economic criteria for planning transmission investment in restructured electricity markets. IEEE Trans Power Syst 22(4):1394–1405
Stützle T, Dorigo M (1999) ACO algorithms for the quadratic assignment problem. In: Corne D, Dorigo M, Glover F (ed) New ideas in optimization. McGraw-Hill, NY, USA
Ward DJ (2001) Power quality and the security of electricity supply, IEEE Proceedings. http://ieeexplore.ieee.org
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Paulun, T., Haubrich, HJ. (2010). Long-term and Expansion Planning for Electrical Networks Considering Uncertainties. In: Pardalos, P., Rebennack, S., Pereira, M., Iliadis, N. (eds) Handbook of Power Systems I. Energy Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02493-1_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-02493-1_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02492-4
Online ISBN: 978-3-642-02493-1
eBook Packages: EngineeringEngineering (R0)