Component importance assessment of power systems for improving resilience under wind storms

Abstract

Increasingly frequent natural disasters and manmade malicious attacks threaten the power systems. Improving the resilience has become an inevitable requirement for the development of power systems. The importance assessment of components is of significance for resilience improvement, since it plays a crucial role in strengthening grid structure, designing restoration strategy, and improving resource allocation efficiency for disaster prevention and mitigation. This paper proposes a component importance assessment approach of power systems for improving resilience under wind storms. Firstly, the component failure rate model under wind storms is established. According to the model, system states under wind storms can be sampled by the non-sequential Monte Carlo simulation method. For each system state, an optimal restoration model is then figured out by solving a component repair sequence optimization model considering crew dispatching. The distribution functions of component repair moment can be obtained after a sufficient system state sampling. And Copeland ranking method is adopted to rank the component importance. Finally, the feasibility of the proposed approach is validated by extensive case studies.

Risk-Oriented Renewable Energy Scenario Clustering for Power System Reliability Assessment and Tracing

“…It is necessary to quickly identify the contribution of each individual component to the overall reliability index. This paper adopts the reliability tracing method in [24]. It identifies the weak links that lead to the load curtailment risk and provides information for the decision-making of operators and planners.…”

Resilient distribution system leveraging distributed generation and microgrids: a review

“…It is demonstrated that criticality ranking is a useful tool for component intervention prioritisation in the preventive phase. In [69 ], a component importance assessment approach of power systems for improving resilience under windstorms is proposed based on Monte Carlo simulation.…”

Dynamic Importance Analysis of Machining Center

“…Reliability importance was first proposed by Birnbaum [16] in 1967, and has been widely used in production. Reliability importance refers to the degree to which the change of reliability of the component causes the change of system reliability, which is the change rate of system reliability to component reliability [7] . The formula is as follows: Because the machining center is a complex mechanical and electrical equipment, there is a close relationship between each component, any fault will affect the reliability of the whole machine, and also increase the maintenance cost.…”

“…There are many disadvantages of the importance measurement base on the variance, the most obvious one is that the influence of different input variables on the output response may cancel each other [5] , the second is that in different stages, the importance of each components is different, and if only analyzing the importance of components in one stage will have many problems during the actual operation [6] , and as a complex mechanical and electrical equipment, the failure of a component may even cause the failure of the whole system, so during the process of reliability analysis of technical system, researchers usually find out the most sensitive components. Once the reliability of these components are improved, the reliability of the whole system can be improved, and finally the optimal solution model of the system can be obtained [7] .…”