"RIV/00216224:14330/12:00067072" . . "Hor\u00E1k, Ale\u0161" . "Power Network Reliability Computations Using Multi-Agent Simulation" . "Sikora, Tadeusz" . "19"^^ . . "Power Network Reliability Computations Using Multi-Agent Simulation"@en . "160517" . . "Power Network Reliability Computations Using Multi-Agent Simulation"@en . "RIV/00216224:14330/12:00067072!RIV14-GA0-14330___" . . "economic modelling of power network; multi-agent simulation; power network reliability; power network simulation"@en . "The reliability of a power network as a whole is limited by the reliability of the weakest element in the network. Ensuring the reliability just with nothing more than a readiness to repair or replace broken parts is not feasible economically, and planned element replacements in the middle of their working life is often a waste of working resources. This article presents a multi-agent simulation system designed for modelling all aspects of power network elements and power network processes. The modelling of this system is able to predict the weak points of a simulated power network over an extended time span (decades). This mode of prediction takes into account the network topology, which means that each element is modelled in a context that is close to the real one. To show the system capabilities, we present two models of computations based on real power networks of 10 kV."@en . . "[36B3081AEC22]" . "Transactions on Computational Collective Intelligence" . . "0302-9743" . . . . . "2"^^ . "3"^^ . . "9783642346446" . "The reliability of a power network as a whole is limited by the reliability of the weakest element in the network. Ensuring the reliability just with nothing more than a readiness to repair or replace broken parts is not feasible economically, and planned element replacements in the middle of their working life is often a waste of working resources. This article presents a multi-agent simulation system designed for modelling all aspects of power network elements and power network processes. The modelling of this system is able to predict the weak points of a simulated power network over an extended time span (decades). This mode of prediction takes into account the network topology, which means that each element is modelled in a context that is close to the real one. To show the system capabilities, we present two models of computations based on real power networks of 10 kV." . . . . "10.1007/978-3-642-34645-3_3" . "Berlin" . "Berlin" . . . . "Power Network Reliability Computations Using Multi-Agent Simulation" . "2012-01-01+01:00"^^ . "Springer-Verlag" . "14330" . "Pr\u00FDmek, Miroslav" . . "P(GA102/09/1842)" . .