When　power　system　equipment　fails　due　to　disasters,　resulting　in　the　isolation　of　parts　of　the　network,　the　loads　within　the　isolated　system　cannot　be　guaranteed　a　continuous　power　supply.　However,　for　critical　loads-such　as　hospitals　or　data　centers-continuous　power　supply　is　of　utmost　importance.　While　distributed　energy　resources　(DERs)　within　the　network　can　supply　power　to　some　loads,　outages　may　lead　to　compensation　and　fairness　issues　regarding　the　unsupplied　loads.　In　response,　this　study　proposes　a　methodology　to　determine　the　appropriate　power　contract　price　for　key　customers　by　estimating　the　unsupplied　power　demand　for　critical　loads　in　isolated　networks　and　incorporating　both　outage　compensation　costs　and　voltage　stability　penalties.　The　microgrid　under　consideration　comprises　DERs-including　electric　vehicles　(EVs),　fuel　cell　electric　vehicles　(FCEVs),　photovoltaic　(PV)　plants,　and　wind　turbine　(WT)　plants-as　well　as　controllable　resources　such　as　battery　energy　storage　systems　(BESS)　and　hydrogen　energy　storage　systems　(HESS).　It　serves　both　residential　load　clusters　and　critical　loads　associated　with　social　infrastructure.　The　proposed　methodology　is　structured　in　two　stages.　In　normal　operating　conditions,　optimal　scheduling　is　simulated　using　second-order　conic　programming　(SOCP).　In　the　event　of　a　fault,　mixed-integer　SOCP　(MISOCP)　is　employed　to　determine　the　optimal　load　shedding　strategy.　A　case　study　is　conducted　using　the　IEEE　123　bus　test　node　system　to　simulate　the　outage　compensation　cost　calculation　and　voltage　penalty　assessment　processes.　Based　on　this　analysis,　a　contract　price　for　key　customers　that　considers　both　disaster-induced　outages　and　voltage　impacts　is　presented.