Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network

Abstract

We introduce a new perspective to improve the reliability of a network, which aims at finding cost-effective portfolios of Prognostics and Health Management (PHM) systems to be installed throughout the network. To do this, we estimate the reliability of the single network element equipped with a PHM system, whose prognostic performance is measured in terms of the − α λ performance, false positive and false negative metrics. Then, we apply genetic algorithms for finding the portfolios of PHM systems to be installed on the network elements, which are optimal with respect to cost and a global reliability efficiency index of the network. The workbench case study of the IEEE 14 bus network is considered as application.

Determining the optimal inspection rate of circuit breakers equipped with condition monitoring devices using new maintenance Markov model

“…It is proposed that intelligent sensor networks should be integrated in order to monitor the equipment in its PDM activity. The reliability of the single network element equipped with a prognostics and health management (PHM) system is estimated in Compare et al 1 Moreover, a genetic algorithm is applied for the optimal allocation of PHM systems in terms of the costs and reliability of the network. In Zhang et al, 33 a maintenance strategy is proposed for the overhead lines based on CM and the reliability of the network.…”

“…For the analytical modeling of the CM effect on the equipment reliability, it is necessary to model the failure factors along with their failure frequency of the equipment. Equation (1) shows the failure set of equipment A, which includes X failure types:…”

“…Today, condition monitoring (CM) systems are wildly used in power substations to monitor the health condition of the equipment . Providing the substation equipment with the CM has a direct impact on the maintenance scheduling of the network.…”

“…condition monitoring, predictive maintenance, preventive maintenance 1 | INTRODUCTION Today, condition monitoring (CM) systems are wildly used in power substations to monitor the health condition of the equipment. [1][2][3][4][5] Providing the substation equipment with the CM has a direct impact on the maintenance scheduling of the network. Circuit breaker (CB), as one of the key elements of the substation, has the major share in the total maintenance costs of the substations.…”

A reinforcement learning framework for optimal operation and maintenance of power grids

“…This requires developing sound decision-making frameworks, which account for both the complexity of the asset and the uncertainties on its operational conditions, components degradation processes, failure behaviors, external environment, etc. Nowadays, Power Grid Operation and Maintenance (O&M) management is enhanced by the possibility of equipping the Power Grid components with Prognostics and Health Management (PHM) capabilities, for tracking and managing the evolution of their health states so as to maintain their functionality [4]. This capability can be exploited by Power Grid operators to further increase the profitability of their assets, e.g.…”