Extreme weather conditions such as ice storms often cause significant
damage to electric power transmission and distribution systems and res
ult in large-scale power failures, In such cases, electric utilities n
eed to repair the transmission and distribution systems as expeditious
ly and economically as possible, In this paper, for the electric utili
ties, we present three mathematical goal programming models: 1) a tact
ical model that provides the optimal repair-unit dispatch plan after a
forecast of severe weather conditions, 2) a short-term strategic mode
l that provides the optimal repair-unit location plan under normal wea
ther conditions, and 3) a long-term strategic model that provides the
optimal number of repair units. These models will assist the electric
utilities to locate and dispatch repair units and to restore the trans
mission and distribution failures efficiently. We illustrate some feat
ures of these models with a numerical example, Last, a comparative stu
dy shows how these models could be more efficient than a modified conv
entional model.