DocumentCode
1716648
Title
Stochastic Computation of Power System Security Level
Author
Heyde, C.O. ; Rudion, K. ; Styczynski, Z.A. ; Ruhle, O.
Author_Institution
Otto-von-Guericke Univ. Magdeburg, Magdeburg
fYear
2007
Firstpage
1284
Lastpage
1289
Abstract
Power network security can be disturbed in situations of high penetration of dispersed generation (DG). Such situations lead to bottlenecks in the power network, which is especially observed in the German power network. These bottlenecks can either be eliminated by network extensions or by the use of generation response (GR). The GR, realized in Germany through the so called network security management (NSM), restricts the generation power in cases of network parameter violations such as excessive thermal currents. In this paper, first the security level indices will be defined. Because load, wind- and sun power have a highly stochastic nature, stochastic simulation in the form of a sequential Monte Carlo simulation (MCS) is employed to calculate those indices. The CIGRE distribution system benchmark is chosen for testing the simulations. Both, an aggregated and the complete distribution system were used to calculate the occurrence of network parameter violations. The results will be compared and discussed. This paper finishes with a discussion and demonstration about the advantage of implementing the developed methodology in a professional power system simulator.
Keywords
Monte Carlo methods; distributed power generation; power system management; power system security; power system simulation; stochastic processes; German power network; dispersed generation; distribution system benchmark; generation response; network security management; power system security level; power system simulator; sequential Monte Carlo Simulation; stochastic computation; Benchmark testing; Distributed power generation; Energy management; Power generation; Power system security; Power system simulation; Stochastic processes; Stochastic systems; Sun; Thermal management; Generation Response; Monte-Carlo Simulation; Network Security; Network Security Management; Power System; Stochastic Simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Tech, 2007 IEEE Lausanne
Conference_Location
Lausanne
Print_ISBN
978-1-4244-2189-3
Electronic_ISBN
978-1-4244-2190-9
Type
conf
DOI
10.1109/PCT.2007.4538501
Filename
4538501
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