Reliability Assessment in Distributed Multi-State Series-Parallel Systems

The distributed system plays a major part in power system, and numerous researches are devoted to evaluate the reliability of system with distributed generators. However, the traditional reliability evaluation methods are confronted with a great challenge of huge computational burden, especially with the high penetration of distributed generators. Hence, in this paper, a new distributed system named as ideal line distributed series-parallel system is presented. In this system, the interaction between the basic components and distributed components are concerned and the structure between these components is described as series-parallel component. This defined distributed series-parallel system can simplify the reliability assessment process. Two analytical reliability evaluation approaches based on probability theory are proposed to release the computational burden, where the number of distributed generators is varying from 1 to m. The relationships between series-parallel components are quantified and the distributed generators are equivalent as traditional generators in these reliability evaluation approaches. The comparisons of computation cost and complexity are given to demonstrate the accuracy and efficiency of proposed reliability assessment methods. (C) 2019 The Authors. Published by Elsevier Ltd.