Reliability-based smart-maintenance model for power system generators

Abstract:

In order to provide a reliable service and supply the demand most of the time, all generators in a power grid shouldbe subjected to an effective maintenance plan. The smarter the maintenance performed could result in a better performance ofthe system. However, a challenge is to minimise maintenance costs that do not compromise the benefits. Considering thesefacts, this study presents a reliability-based smart-maintenance approach of generators to compute the net-maximum economicbenefit. The approach is derived from Kijima model type I to characterise the impact of maintenance over the component'svirtual age, and Markov chains to model the component's lifetime. To achieve a more realistic model, generators' failure andrepair rates are considered time-dependent variables. Then, the optimum preventive maintenance schedule is obtained by usingan advanced algorithm named accelerated quantum particle swarm optimisation in combination with sequential Monte Carlosimulation. The effectiveness of the approach is investigated through a case study with four different scenarios: (i) no preventivemaintenance plan, (ii) yearly periodic preventive maintenance, (iii) reliability-centred maintenance and (iv) smart maintenance.The results suggest that the approach is convenient for power system generators and delivers a significant knowledgecontribution in the area of maintenance.

Año de publicación:

2020

Keywords:

Fuente:

scopus