Increased interconnection and loading of the power system along with deregulation has brought new challenges for electric power system operation, control and automation. Traditional power system models used in intelligent operation and control are highly dependent on the task purpose. Thus, a model for intelligent operation and control must represent system features, so that information from measurements can be related to possible system states and to control actions. These general modeling requirements are well understood, but it is, in general, difficult to translate them into a model because of the lack of explicit principles for model construction. This paper presents research using explicit means-ends model based reasoning about complex control situations for maintaining consistent perspectives and selecting appropriate control action for goal driven agents. An example of power system operation and control is described using the modeling approach.