EPC1001COMPUTER AIDED POWER SYSTEM ANALYSIS3-0-0-3Structure of the courseLecture: 3 hrs/weekInternal Assessment: 40 MarksEnd semester Examination: 60 MarksCredits: 3Course Objective1.To introduce computer applications in analysis of power systems2.To understand the solution methods and techniques involved in power system studiesLearning outcomesUpon successful completion of this course, students will have a better understanding of the meritsand demerits of critical analytical solution methods which are the basis for valid techniques in solvingpower system problemsModule IReview of solution of Linear System of equations by Gauss Jordan method, Gauss elimination, LUfactorization and LDU factorization.Load Flow Studies: Overview of Gauss, Gauss- Seidel and Newton Raphson Methods, DecoupledLoad Flow, Fast Decoupled Load Flow, DC load flow, Three-phase Load Flow and Harmonic Loadflow. Sparsity techniques, Triangular factorization and Optimal ordering.Incorporation of FACTS devices in Load Flow: Static Tap Changing, Phase Shifting (PS), Static VARCompensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified Power FlowController (UPFC)Module IIElementary linear graph theory –Incidence and network matrices. Development of network matricesfrom Graph theoretic approach, Building algorithm for Bus impedance matrix, Modification ofZBUSmatrix due to changes in primitive network.Short Circuit studies – Types of Faults – Short circuit study of a large power system – Algorithm forcalculating system conditions after fault – three phase short circuit, three phase to ground, double lineto ground, line to line and single line to ground fault.Module IIIState estimation – least square and weighted least square estimation methods for linear and non-linearsystems. Static state estimation of power systems- injections only and line only algorithms,Treatmentof bad data – detection, identification and suppression of bad data.Contingency Analysis-adding and removing multiple lines, Analysis of single and multiplecontingencies, Contingency Analysis by DC model, System reduction for contingency and fault studies