Composite system reliability evaluation using state space pruning

abstract

• This paper presents a method of computing the reliability indices of a composite generation-transmission system by performing Monte Carlo simulation selectively on those regions of the state space where loss of load states are more likely to occur. These regions are isolated by performing state space decomposition to remove coherent acceptable subspaces. It is shown that this method results in a significant reduction in the number of sampled states, thereby reducing the computational effort required to compute the system and bus indices. The method assumes a DC flow model, and is tested using the IEEE Reliability Test System. The proposed method is not intended to replace existing variance reduction techniques; in fact, such techniques may be used in conjunction with the proposed method to further improve its efficiency. 1996 IEEE.

authors

• Singh, Chanan

published proceedings

• IEEE TRANSACTIONS ON POWER SYSTEMS

author list (cited authors)

• Singh, C., & Mitra, J.

citation count

• 125

complete list of authors

• Singh, C||Mitra, J

publication date

• January 1997

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE TRANSACTIONS ON POWER SYSTEMS  Journal

keywords

• Composite Reliability
• Dc Load Flow
• Monte Carlo Simulation
• Reliability Indices

Digital Object Identifier (DOI)

• 10.1109/59.575787

start page

• 471

end page

• 477

volume

• 12

issue

• 1

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2F59.575787

user-defined tag

• 7 Affordable and Clean Energy