Preventive Maintenance Scheduling Based on Short Circuit and Overload Currents

Abstract

One of the important aspects of smart grid is to make the best use of existing assets. One way (among others) to achieve this objective is by scheduling effective maintenance routines. Abnormal conditions, including short circuits or overloads, would affect not only the exposed components, but also those farther away from the fault locations. This exposure may cause some of the components fail right away or at a later time. Therefore, the severity, frequency, and timings of system faults are important factors in planning maintenance programs. In this paper, the impact of increased current flows, in the form of short circuits and overloads, on component failure rates are studied and a maintenance scheduling model taking into account such impacts is developed. Using the developed model, the optimum mean time to preventive maintenance is derived and used to maximize the components availability. Results of this paper would help in preventing damage to the equipment by optimally scheduling maintenance programs based on short circuit current levels of the system.

A Short-Term Preventive Maintenance Scheduling Method for Distribution Networks With Distributed Generators and Batteries

“…Then, a cost-effective strategy [10] or a reliability-based strategy [25]- [27] can be used to determine a maintenance schedule. In the literature, different methods for preventive maintenance scheduling have been proposed [28], [29]. In [28], preventive maintenance is derived by considering the impact of increased short-circuit current flows on the failure rate.…”

“…In the literature, different methods for preventive maintenance scheduling have been proposed [28], [29]. In [28], preventive maintenance is derived by considering the impact of increased short-circuit current flows on the failure rate. In [29], a cost-effective maintenance scheduling method with reliability constraints for overhead lines is proposed.…”

“…Cost-based reliability indices are used for modeling. The methods in the literature for preventive maintenance scheduling in power systems minimize maintenance costs, maximize reliability, and also consider other factors, e.g., the influence of short-circuit currents on the failure rate [28] and the reliability [29]. In these preventive maintenance scheduling methods, the supporting power potential of DGs and batteries to reduce load loss cost was not explicitly considered.…”

Modeling Magnetic Fields around Stranded Electrical Transmission Lines via Finite Element Analysis (FEA)

“…First of all, the actual MF surrounding TLs clearly provides an overview of the grid's health. By monitoring these MFs and through the set of magnetic-based sensors listed above, better decision-making and more robust preventive maintenance schemes can be established for electric grids [9]. The valuable insights into the current's behavior, for example monitored using magnetic-based sensors, enables the identification of potential issues, like overloads and even faults.…”