CONVERGENCE CHARACTERISTICS OF 2 MONTE-CARLO MODELS FOR RELIABILITY EVALUATION OF INTERCONNECTED POWER-SYSTEMS

被引：16
|
作者：
SINGH, C
CHANDER, TP
FENG, J
机构：
[1] Department of Electrical Engineering, Texas A and M University, College Station
来源：
ELECTRIC POWER SYSTEMS RESEARCH | 1993年 / 28卷 / 01期
基金：
美国国家科学基金会;
关键词：
MONTE-CARLO SIMULATIONS; RELIABILITY EVALUATION; POWER SYSTEM MODELING;
D O I：
10.1016/0378-7796(93)90073-N
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The convergence characteristics of two Monte Carlo models are investigated in this paper. These two models or their variations have been used by the electric power industry. Model 1 is based on the random sampling of generator and transmission line status for each hour. Model 2 advances the generation and transmission using the next-event approach. Mathematical analysis and system studies indicate that model 2 converges slower than model 1. The simulation time for model 2 is generally more than twice the mean duration of loss of load. The CPU time per year of simulation is shorter for model 2. However, the total CPU time for model 2 is much longer than for model 1.
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页码：1 / 9
页数：9
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