Title :
A fast and efficient method for reliability evaluation of interconnected power systems-preferential decomposition method
Author :
Gubbala, N. ; Singh, C.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
A new method for reliability evaluation of interconnected power systems is presented in this paper. In the Simultaneous Decomposition-Simulation (SiDeS) method, efficiency of the decomposition process decreases rapidly as the sets get decomposed into smaller probability sets. The number of sets generated has serious implications on the memory requirements and frequency calculations which depend on the examination of subset intersection. In the new Preferential Simultaneous Decomposition-Simulation (PreSiDeS) method, five concepts have been introduced which improve the efficiency of the decomposition process. A characteristic value is assigned to each of the areas for the maximum state of the set depending on excess generation or deficient generation. Then the maximal flow algorithm is performed to utilize generation, first from excess generation areas and then from deficient generation areas. This increases the states in deficient generation areas being classified as acceptable sets or identical area loss-of-load sets to more than one state. Also in the decomposition of loss-of-load sets, if all the areas which have deficient generation are loss-of-load, then the neighboring help to these areas is reduced to zero which increases the states in identical area loss-of-load set being generated. Application of these concepts to the decomposition process results in much fewer sets and improves the efficiency of the decomposition phase. The PreSiDeS method is shown to be 3-5 times faster than the SiDeS method
Keywords :
power system interconnection; power system reliability; Preferential Simultaneous Decomposition-Simulation; Simultaneous Decomposition-Simulation; frequency calculations; identical area loss-of-load sets; interconnected power systems; maximal flow algorithm; preferential decomposition method; reliability evaluation; Character generation; Clustering algorithms; Computational modeling; Equations; Frequency; Load modeling; Power system interconnection; Power system modeling; Power system reliability; Power system simulation;
Conference_Titel :
Power Industry Computer Application Conference, 1993. Conference Proceedings
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-7803-1301-1
DOI :
10.1109/PICA.1993.291015