Computing Techniques in Power Systems
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Follow on Instagram for UpdatesComputing Techniques in Power Systems Syllabus — Unit-wise Content
The official GTU curriculum for Computing Techniques in Power Systems (subject code ME01000131) as prescribed for E(SE · Semester 1 divides the course into 5 units, covering 49 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (ME01000131)Unit 1 Mathematical Preliminaries
- Gaussian Elimination
- LU Factorization
- Concept of Sparsity
- Sparsity for Reducing Storage Requirements for Ybus and Jacobian
- Ordering Schemes
Unit 2 Power Flow Analysis
- Modeling of power system components
- Power flow problem formulation
- Bus classification and construction of Y-Bus
- Gauss Siedel method
- Newton Raphson method
- De-Coupled method
- Fast Decoupled method
- Modified Fast Decoupled
- Concept of Optimal Power Flow
- Solution of Optimal power flow by Gradient method
- Solution of Optimal power flow by Newton’s method
- Continuation Power flow
Unit 3 Power System Security and Short Circuit Study
- Factors Affecting Power System Security
- Short Circuit Studies of a Large Power System Networks
- Symmetrical Fault Analysis Using Bus Impedance Matrix (Zbus)
- Algorithm for Formation of Bus Impedance Matrix
- Overview of Security Analysis
- Contingency Analysis using Zbus by adding and removing multiple lines
- Concept of Compensation Current
- Analysis of Single Contingencies
- Contingency Analysis by DC Model
- Linear Sensitivity Factors
- Contingency Selection
- Concentric Relaxation
Unit 4 State Estimation in Power Systems
- Power System State Estimation
- Weighted Least Squares Estimation (WLSE) method with Linear Measurements
- Inclusion of Statistics in WLSE
- Maximum Likelihood Concept
- State Estimation of AC network – Nonlinear Measurements
- Development of Jacobian Matrix
- State Estimation by Orthogonal Decomposition
- Detection and Identification of Bad measurements using Chi-squared distribution
- Estimation of quantities not being measured
- Network Observability and Pseudo Measurements
- Application of Power Systems State Estimation
Unit 5 Numerical Integration Techniques
- One step methods
- Taylor series based methods
- Forward -Euler’s method
- Runge-Kutta methods
- Trapezoidal method
- backward-Euler’s method
- Accuracy and error analysis
- Numerical stability analysis
- Power system applications: Transient stability analysis
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