Impact of health indicators on maintenance management and operation of power systems

Abstract

This article proposes a maintenance management and risk reduction approach. The approach introduces two reliabilitybased indexes called condition indicator and risk indicator. Condition indicator is a unit-less parameter that comes directly from monitored condition of a component and converts the categorical condition into a numerical value. Risk indicator in megawatt represents the risk imposed by the health of a component onto the system. To demonstrate application of the indicators, they are implemented through an hourly network constraint unit commitment problem and applied in a test system where the analysis of impact of condition of the generators to the operation is the new contribution. The results demonstrate how addition of such indicators will impact the operation of the grid and maintenance scheduling. The results show the benefit for the system operator as the overall failure risk in the system is taken into account, and the benefit for the asset owner as the direct impact of the maintenance to be carried out can be investigated. Two of the main outcomes of the maintenance management and risk reduction approach are as follows: asset owners can analyze their maintenance strategies and evaluate their impacts in the maintenance scheduling, and system operators can operate the grid with higher security and lower risk of failure.

Integrating Functional Block Diagrams and Systems-Theoretic Process Analysis: A Case Study of a Nuclear Power Station

“…Aggregate the Scores: Sum the weighted factors to get the overall risk index for each energy type [22]. An example with weights and normalized data:…”

Optimal maintenance strategy on medical instruments used for haemodialysis process

“…In particular, PM is carried out periodically on the basis of experience [41] or from the recommendation of the equipment manufacturers, and it does not account for unexpected failures because their failure mechanisms are time based [8]. PM and CM has been employed for general medical equipment [16,19,23,25] but their implementation lacks simplicity and cost-effectiveness [21,24].…”

“…Contrary to these maintenance strategies, Predictive Maintenance (PdM) [4,40] is known to be more viable and effective method [6,26] which has been applied to various applications such as railway network [6], diode lasers [30], aircraft [36,37], high yield etching process [10,16,38] etc. PdM technique is basically a condition-driven preventive maintenance scheme which takes into account the operational condition, efficacy and other health indicators that determine actual time needed for maintenance [22,24,25,35,36].…”