https://www.scipedia.com/wd/index.php?action=history&feed=atom&title=Praks_et_al_2025aPraks et al 2025a - Revision history2026-04-15T04:38:08ZRevision history for this page on the wikiMediaWiki 1.27.0-wmf.10https://www.scipedia.com/wd/index.php?title=Praks_et_al_2025a&diff=323320&oldid=prevDejan.brkic at 17:48, 13 August 20252025-08-13T17:48:50Z<p></p>
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<td colspan='2' style="background-color: white; color:black; text-align: center;">Revision as of 17:48, 13 August 2025</td>
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<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>This paper explores the feasibility of solving a maintenance optimization problem in an interconnected smart grid system, comprising a power grid and a communication network, to reduce system unavailability. The unavailability, which must be in practice under the control of a system operator, is particularly sensitive to critical components in the power grid that must be under preventive maintenance (PM). The main goal is to find an optimal setup of PM within the specified mission time, minimizing system operation costs and reducing time-dependent unavailability. The method for unavailability quantification was remade to include different stochastic models for the unavailability calculation of system components working in different maintenance modes. A cost model is suggested to estimate the cost of various maintenance configurations. By applying these methodological tools designed to benefit users of any complex system, an optimal PM policy was developed for the selected smart grid. This policy reduces grid unavailability by approximately 20% and lowers costs by about 8.5% compared to a configuration without maintenance.</div></td></tr>
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<tr><td class='diff-marker'>−</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del class="diffchange diffchange-inline"><p><span style="font-size: 10.24px;"></del>This paper explores the feasibility of solving a maintenance optimization problem in an interconnected smart grid system, comprising a power grid and a communication network, to reduce system unavailability. The unavailability, which must be in practice under the control of a system operator, is particularly sensitive to critical components in the power grid that must be under preventive maintenance (PM). The main goal is to find an optimal setup of PM within the specified mission time, minimizing system operation costs and reducing time-dependent unavailability. The method for unavailability quantification was remade to include different stochastic models for the unavailability calculation of system components working in different maintenance modes. A cost model is suggested to estimate the cost of various maintenance configurations. By applying these methodological tools designed to benefit users of any complex system, an optimal PM policy was developed for the selected smart grid. This policy reduces grid unavailability by approximately 20% and lowers costs by about 8.5% compared to a configuration without maintenance.<del class="diffchange diffchange-inline"></span></p></del></div></td><td class='diff-marker'>+</td><td style="color:black; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div></div></td></tr>
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</table>Dejan.brkichttps://www.scipedia.com/wd/index.php?title=Praks_et_al_2025a&diff=323318&oldid=prevDejan.brkic: Dejan.brkic moved page Draft Brkic 961185931 to Praks et al 2025a2025-08-13T17:47:17Z<p>Dejan.brkic moved page <a href="/public/Draft_Brkic_961185931" class="mw-redirect" title="Draft Brkic 961185931">Draft Brkic 961185931</a> to <a href="/public/Praks_et_al_2025a" title="Praks et al 2025a">Praks et al 2025a</a></p>
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</td></tr></table>Dejan.brkichttps://www.scipedia.com/wd/index.php?title=Praks_et_al_2025a&diff=323317&oldid=prevDejan.brkic: Created page with " == Abstract == <p><span style="font-size: 10.24px;">This paper explores the feasibility of solving a maintenance optimization problem in an interconnected smart grid system,..."2025-08-13T17:47:14Z<p>Created page with " == Abstract == <p><span style="font-size: 10.24px;">This paper explores the feasibility of solving a maintenance optimization problem in an interconnected smart grid system,..."</p>
<p><b>New page</b></p><div><br />
== Abstract ==<br />
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<p><span style="font-size: 10.24px;">This paper explores the feasibility of solving a maintenance optimization problem in an interconnected smart grid system, comprising a power grid and a communication network, to reduce system unavailability. The unavailability, which must be in practice under the control of a system operator, is particularly sensitive to critical components in the power grid that must be under preventive maintenance (PM). The main goal is to find an optimal setup of PM within the specified mission time, minimizing system operation costs and reducing time-dependent unavailability. The method for unavailability quantification was remade to include different stochastic models for the unavailability calculation of system components working in different maintenance modes. A cost model is suggested to estimate the cost of various maintenance configurations. By applying these methodological tools designed to benefit users of any complex system, an optimal PM policy was developed for the selected smart grid. This policy reduces grid unavailability by approximately 20% and lowers costs by about 8.5% compared to a configuration without maintenance.</span></p><br />
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== Document ==<br />
<pdf>Media:Draft_Brkic_961185931-8458-document.pdf</pdf></div>Dejan.brkic