Distribution Network Reliability Calculation Base on Improved Minimal Path Method

Distribution network reliability calculation is an important function for distribution network planning and operating system software. It is also one of the earliest core function modules for distribution network calculating. This paper investigates into general-purpose distribution network reliability assessment technique. The paper improves the minimal path method for reliability assessment and solves the precision problem using general-purpose minimal path technique; the paper demonstrates an example to verify the validity of this method.

System Reliability Evaluation of Data Transmission in Commercial Banks with Multiple Branches

The main purpose of this paper is to assess the system reliability of electronic transaction data transmissions made by commercial banks in terms of stochastic flow network. System reliability is defined as the probability of demand satisfaction and it can be used to measure quality of service. In this paper, we study the system reliability of data transmission from the headquarters of a commercial bank to its multiple branches. The network structure of the bank and the probability of successful data transmission are obtained through the collection of real data. The system reliability, calculated using the minimal path method and the recursive sum of disjoint products algorithm, provides banking managers with a view to comprehend the current state of the entire system. Besides, the system reliability can be used not only as a measurement of quality of service, but also an improvement reference of the system by adopting sensitivity analysis.

A Methodology for Evaluation of Distribution System Anti-Disaster Ability in Inclement Weather

The accurate evaluation of distribution system reliability plays an important role in distribution system planning. The existing method doesn’t consider the influence of different inclement weather. This paper proposed a new method for evaluation of distribution system anti-disaster ability in inclement weather. Firstly, the influence of the system components in inclement weather was analyzed according to the physical situation; then the relationship between the breakdown probability of the components and the meteorological parameters was studied on the basis of the components quality. Secondly, considering the characteristics of distribution system, the probability of continuous failure was discussed by the minimal path method. Finally the evaluation indices were introduced to represent the distribution system anti-disaster ability. The simulation results show the laws between the distribution system’s anti-disaster ability and the changing meteorological parameters.

Contour Detection and Completion for Inpainting and Segmentation Based on Topological Gradient and Fast Marching Algorithms

We combine in this paper the topological gradient, which is a powerful method for edge detection in image processing, and a variant of the minimal path method in order to find connected contours. The topological gradient provides a more global analysis of the image than the standard gradient and identifies the main edges of an image. Several image processing problems (e.g., inpainting and segmentation) require continuous contours. For this purpose, we consider the fast marching algorithm in order to find minimal paths in the topological gradient image. This coupled algorithm quickly provides accurate and connected contours. We present then two numerical applications, to image inpainting and segmentation, of this hybrid algorithm.