Transmission Planning – a Probabilistic Load Flow Perspective
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Transmission Planning – a Probabilistic Load Flow Perspective

Authors: Constantin Barbulescu, Gh. Vuc, Stefan Kilyeni, Dan Jigoria-Oprea, Oana Pop

Abstract:

Perhaps no single issue has been cited as either the root cause and / or the greatest challenge to the restructured power system then the lack of adequate reliable transmission. Probabilistic transmission planning has become increasingly necessary and important in recent years. The transmission planning analysis carried out by the authors, spans a 10-year horizon, taking into consideration a value of 2 % load increase / year at each consumer. Taking into consideration this increased load, a probabilistic power flow was carried out, all the system components being regarded from probabilistic point of view. Several contingencies have been generated, for assessing the security of the power system. The results have been analyzed and several important conclusions were pointed. The objective is to achieve a network that works without limit violations for all (or most of) scenario realizations. The case study is represented by the IEEE 14 buses test power system.

Keywords: Contingency, load, operating state, probabilistic power flow, transmission planning

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1058945

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1864

References:


[1] IEEE Power & Energy Magazine for Electric Power Professionals, Vol. 5, Number 5, September / Octomber 2007.
[2] C. Barbulescu, Gh. Vuc, St. Kilyeni, "Probabilistic Load Modelling Influences on the Load Flow. Case Study TEST25 Test Power System", in Proceedings of the International Youth Conference on Energetics 2007 (IYCE 2007), Budapest, Hungary, 2007, pp.175.
[3] Gh. Vuc, C. Barbulescu, St. Kilyeni, "Transmission Network-s Congestion with Probabilistic Load Model", in Proceedings of the International Youth Conference on Energetics 2007 (IYCE), Budapest, Hungary, 2007, pp.73.
[4] C. Barbulescu, I. Ardelean, ┼×t. Kilyeni, Gh. Vuc. "Probabilistic power flow. Establishment of the optimal sample set for Monte Carlo simulations for Test50 bus test power system", in Proceedings of the National Conference and Power Engineering Exhibition CNEE 2007, Sinaia, 7-8 November 2007, pp. 1040-1047.
[5] M. Nemes, D. Paunescu, G. Vuc, "Analyzing the Impact of Probabilistic Load On Systems Hourly Cost", in Proceedings of the 1st International Conference on Modern Power Systems (MPS), Cluj-Napoca, Romania, 2006.
[6] A.M. Leite Da Silva, J.G. De Carvalho Costa, C. Monteiro Mattar, "A Probabilistic Approach for Determining the Optimal Amount of Transmission System Usage", in IEEE Transactions on Power Systems, Vol. 21, Issue 4, Pp.1557-1564, 2007.
[7] Georgia Institute of Technology: Comprehensive Power System Reliability Assessment, Final Project Report, Power Systems Engineering Research Center, April 2006.
[8] A.B. Rodrigues, M.G. Da Silva, Probabilistic Assessment of Available Transfer Capability Based on Monte Carlo Method With Sequential Simulation, in IEEE Transactions on Power Systems, Volume 22, Issue 1, Pp: 484 - 492, 2007.