PS4101 - Computer Aided Power System Analysis (Syllabus) 2021-regulation Anna University

PS4101 - Computer Aided Power System Analysis (Syllabus) 2021-regulation Anna University

PS4101

COMPUTER AIDED POWER SYSTEM ANALYSIS

 LPTC

3104

OBJECTIVES:
• To introduce various solution techniques to solve the large scale power systems.
• To impart in-depth knowledge on different power flow solution methods for large power system networks.
• To perform various optimal power flow methods involving operating and security constraints.
• To perform short circuit fault analysis for various fault conditions on three phase basis.
• To Illustrate different numerical integration methods and factors influencing transient stability

UNIT I

SOLUTION TECHNIQUE

9

Sparse Matrix techniques for large scale power systems - Optimal ordering schemes for preserving sparsity - Flexible packed storage scheme for storing matrix as compact arrays - Factorization by Bi- factorization and Gauss elimination methods - Repeat solution using Left and Right factors and L and U matrices.

UNIT II

POWER FLOW ANALYSIS

9

Power flow equation in real and polar forms - Review of Newton Raphson method for solution; Adjustment of P-V buses - Review of Fast Decoupled Power Flow method - Sensitivity factors for P-V bus adjustment.


UNIT III

OPTIMAL POWER FLOW

9

Problem statement - Solution of Optimal Power Flow (OPF) - The gradient method - Newton's method - Linear Sensitivity Analysis - LP methods - With real power variables only - LP method with AC power flow variables and detailed cost functions - Security constrained Optimal Power Flow - Interior point algorithm - Bus Incremental costs.

UNIT IV

SHORT CIRCUIT ANALYSIS

9

Formation of bus impedance matrix with mutual coupling (single phase basis and three phase basis) - Computer method for fault analysis using ZBUS and sequence components - Derivation of equations for bus voltages -fault current and line currents - both in sequence and phase - symmetrical and unsymmetrical faults.

UNIT V

TRANSIENT STABILITY ANALYSIS

9

Introduction - Numerical Integration Methods - Euler and Fourth Order Runge-Kutta methods - Algorithm for simulation of SMIB and multi-machine system with classical synchronous machine model - Factors influencing transient stability - Numerical stability and implicit Integration methods.

L - 45; T - 15; Total – 60 PERIODS


OUTCOMES:
CO1 Ability to solve large scale simultaneous linear equations and the ordering schemes for preserving sparsity.
CO2 Ability to solve large scale power flow problems
CO3 Ability to solve optimal power flow problem using various solution methods
CO4 Ability to do fault calculations for various fault conditions on three phase basis
CO5 Ability to do stability studies under various disturbances using numerical integration methods

REFERENCES:
1. A. J. Wood and B. F. Wollenberg, “Power Generation Operation and Control”, John Wiley and sons, New York, 2016.
2. M. A. Pai,” Computer Techniques in Power System Analysis”,Tata McGraw Hill Publishing Company Limited, New Delhi, 2006.
3. G W Stagg, A.H El. Abiad, “Computer Methods in Power System Analysis”, McGraw Hill,1968.
4. P. Kundur, “Power System Stability and Control”, McGraw Hill, 1994.
5. D. P. Kothari and I. J. Nagrath, ‘Modern Power System Analysis’, Fourth Edition, Tata McGraw Hill Publishing Company Limited, New Delhi, 2011.
6. K. Zollenkopf, “Bi-Factorization: Basic Computational Algorithm and Programming Techniques ; pp:75-96 ; Book on “Large Sparse Set of Linear Systems” Editor:J.K.Rerd, Academic Press, 1971.

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