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In the context of Condition Based Maintenance (CBM), this paper presents a risk-based optimization model for system maintenance scheduling problem. It consists on optimizing availability and cost of the system by balancing between system maintenance risk and failure risk. In this paper, system reliability constraint is considered. Reliability of system components is characterized by their failure...
This paper presents a new comprehensive solution for maintenance scheduling of generating units in deregulated environments by applying an independent market, based on Genetic Algorithm (GA) and Monte-Carlo Simulation (MCS). In a deregulated environment each Generation Company (GENCO) desires to optimize the payoffs while independent system operator (ISO) has its reliability solicitudes. Mostly, these...
This paper proposes a new method for maintenance scheduling of power generation units in deregulated environments by determining a fundamental index named Lost Opportunity Cost of Market Participation (LOCMP) based on dynamic game theory. Maintenance scheduling of power generation units in deregulated environments is a vital issue, because each Generation Company (GENCO) requires maximizing its benefits...
This paper proposes a new solution for maintenance scheduling in deregulated power market by applying an independent market for maintenance scheduling based on game theory. Maintenance scheduling is one of the main issues in restructured power electricity markets, because each generation company desires to maximize its own payoffs and ISO has its own reliability and security concerns that mostly,...
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