Optimal Design and Reliability Evaluation of Multi-State Series-Parallel Power Systems

Abstract

A new approach is introduced for calculating the electrical power system reliability indices. Such as multi-state stationary availability, the expected multi-state capacity, the expected unsupplied demand, the loss of load probability and total failed system probability. A multi-state system consisting of elements combined into a series-parallel structure is considered. When the system consists of elements with different reliability and performance (productivity or capacity) characteristics, its availability, defined as the ability to meet a demand, strongly depends on the selection of components and the system structure design. In this paper we present an ant colony method which treats the more sophisticated and realistic models in which components and systems may assume many states ranging from perfect working to complete failure. The objective is to calculate the different reliability indices by using the new modern technique of Ushakov (UMGF technique). A computer program has been developed to implement the UMGF technique. An illustrative example is presented.

Reliability Optimization of Electrical Power Systems Subject to Severe Environmental Loads

“…In electrical power systems, the loss of load probability (LOLP) index is a commonly used measure for reliability estimation. LOLP is defined as the probability that the system cannot supply a given demand load [11]. …”

“…The electrical power system was introduced by Y. Massim et al [11]. The system is composed of five subsystems connected in series.…”

“…Extensive research on reliability optimization of MSSs has been done [8][9][10]. Besides, Y. Massim et al [11] and Rabah Ouiddir et al [12] researched the optimal problem of multi-state electrical power systems. But the components of MSSs in these papers fail mutually independently, and CCFs are not considered.…”

Series-Parallel Power System Optimization Using Firefly Algorithm

“…In this approach costs of components are defined as explicit analytical function of component capacities and the same reliability index value is assigned to all components of a given type, regardless of their capacity. In [13,14], respectively a genetic algorithm and ant colony approaches are used as an optimization technique to solve the problem.…”

An automated CAE system for multidisciplinary structural design: its application to micro accelerometer

“…Much trial and error then, is indispensable. Such situations make it very difficult to find a satisfactory or optimized solution for practical structures such as micromachines, though numerous optimization algorithms have been studied [2].…”