Abstract
The reliability of power grids has always received high level concerns, since a high quality of power supply is generally required in both daily life and industrial applications, thus an appropriate reliability assessment is instructive for the design and troubleshooting of power grids. In this work, to improve the sampling efficiency of assessing processes, a pseudo-analytical mix sampling strategy is proposed for reliability assessment of power grids, which is mainly based on the ideas of average-and-scattered sampling and total probability formula method. The proposed scheme is evaluated in both IEEE reliability test system (RTS) and modified IEEE reliability test system (MRTS). The superiority of the proposed scheme is confirmed by comparison, since the results of which indicate that the sampling times can be reduced by more than 3/4 than those obtained by traditional ways.
Highlights
With an increasing scale, the structure of modern power grids is more and more complex, and the degree of automation becomes higher and higher, the systems are usually defined by nonlinear, multi-constraint, high-dimension models
As for the second approach, since they are mainly based on Monte Carlo method, the sampling times of which have nothing to do with system scales, so they are applicable for reliability assessment of large-scale power grids [10]–[15]
In view of the characteristics of the equal-scatter sampling method [34]–[37], this paper proposes a pseudo-analytical mix sampling technique to reduce the variance, and further improve the sampling efficiency of assessing processes
Summary
The structure of modern power grids is more and more complex, and the degree of automation becomes higher and higher, the systems are usually defined by nonlinear, multi-constraint, high-dimension models. As for the second approach, since they are mainly based on Monte Carlo method, the sampling times of which have nothing to do with system scales, so they are applicable for reliability assessment of large-scale power grids [10]–[15]. In view of the characteristics of the equal-scatter sampling method [34]–[37], this paper proposes a pseudo-analytical mix sampling technique to reduce the variance, and further improve the sampling efficiency of assessing processes. The remaining components are decentralized along with and probability calculating procedures of those selected components By applying both the proposed scheme and some traditional schemes to IEEE reliability test system (RTS) and modified RTS, a comparison is provide in the work. 2, a computing accuracy analysis for Monte Carlo method is presented, following which the principles of the proposed reliability assessing strategy are introduced in detail in Sect.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
