Kidane, Solomon (PhD)Mekuriaw, Mehari2018-06-282023-11-042018-06-282023-11-042015http://etd.aau.edu.et/handle/123456789/4661Ethiopia power network systems have been disturbed by unanticipated disturbances from time to time when numbers of consumers lose power supply at a very expensive cost. System protection and emergency control to respond this power system instability play an important role in our country power system operation. Driven by the industry need and improper protection mechanism to alleviate the effect of disturbances on system operation and improve power system security, this thesis uses a general framework for system protection scheme based on Model Predictive Control. Model Predictive Control (MPC) is implemented to apply system protection scheme. A control strategy for maintaining voltage stability following the occurrence of an outage is stated. The result of our control mechanism on voltage recovery is measured via trajectory sensitivity. Our optimization means is mixed integer quadratic programming based algorithm is presented to study the optimal coordination of the dissimilar controls to advance voltage performance and effective use of control input following large disturbances. The developed algorithms are functional with MATLAB and Power System Analysis Toolbox (PSAT) are joined and tested on the 30-bus of the 400kV and 230kV of the modified Ethiopia power network system for preventing voltage collapse and the objective of the algorithm is to attain its voltage level [0.95, 1.05 p.u] and filter out noise within the given prediction horizon. Key Words: - Coordinated voltage control, model predictive control, trajectory sensitivity, power system.enCoordinated voltage control; model predictive control; trajectory sensitivity;power systemThesis