Ethiopia power network systems have been disturbed by unanticipated disturbances fromrntime to time when numbers of consumers lose power supply at a very expensive cost.rnSystem protection and emergency control to respond this power system instability play anrnimportant role in our country power system operation. Driven by the industry need andrnimproper protection mechanism to alleviate the effect of disturbances on systemrnoperation and improve power system security, this thesis uses a general framework forrnsystem protection scheme based on Model Predictive Control.rnModel Predictive Control (MPC) is implemented to apply system protection scheme. Arncontrol strategy for maintaining voltage stability following the occurrence of an outage isrnstated. The result of our control mechanism on voltage recovery is measured viarntrajectory sensitivity. Our optimization means is mixed integer quadratic programmingrnbased algorithm is presented to study the optimal coordination of the dissimilar controlsrnto advance voltage performance and effective use of control input following largerndisturbances.rnThe developed algorithms are functional with MATLAB and Power System AnalysisrnToolbox (PSAT) are joined and tested on the 30-bus of the 400kV and 230kV of thernmodified Ethiopia power network system for preventing voltage collapse and the objectivernof the algorithm is to attain its voltage level [0.95, 1.05 p.u] and filter out noise within the givenrnprediction horizon.rnKey Words: - Coordinated voltage control, model predictive control, trajectory sensitivity,rnpower system.