PS4001 Power System State Estimation and Security Assessment Syllabus:
PS4001 Power System State Estimation and Security Assessment Syllabus – Anna University PG Syllabus Regulation 2021
COURSE OBJECTIVES:
To introduce the state estimation on DC network.
To impart in-depth knowledge on power system state estimation.
To study alternative formulations of WLS state estimation.
To get insight of network observability and bad data identification.
To gain knowledge on Power System Security Assessment.
UNIT I INTRODUCTION TO STATE ESTIMATION
Need for state estimation – Measurements – Noise – Measurement functions – Measurement Jacobian – Weights – Gain matrix – State estimation as applied to DC networks – Comparison of Power flow and State Estimation problems – Energy Management System.
UNIT II WEIGHTED LEAST SQUARE ESTIMATION
Modeling of transmission lines – Shunt capacitors and reactors – Tap changing and phase shifting transformers – loads and generators – Building network models – Maximum likelihood estimation – Measurement model and assumptions – WLS State Estimation Algorithm – Measurement functions – Measurement Jacobian matrix – Gain matrix – Cholesky decomposition and performing forward and backward substitutions – Decoupled formulation of WLS State estimation – DC State estimation model – Role of Phasor Measurement Units (PMU) in state estimation.
UNIT III ALTERNATIVE FORMULATION OF WLS STATE ESTIMATION
Weakness of normal equation formulation, Orthogonal factorization, Hybrid method, Method of Peters and Wilkinsons, Equality constraints WLS State estimation, Augmented matrix approach, Blocked formulation and comparison of techniques.
UNIT IV NETWORK OBSERVABILITY AND BAD DATA DETECTION IDENTIFICATION
Network and graphs, Network matrices, loop equations, Methods Observability analysis, Numerical Method based on Nodal Variable formulation and branch variable formulation, Topological Observability analysis, Determination of critical measurements – Role of PMU in network observability. Properties of measurement residuals – Classification of measurements – Bad data detection and identification using Chi-squares distribution and normalized residuals – Bad data identification – Largest normalized residual test and Hypothesis testing identification. bad data detection using PMU
UNIT V POWER SYSTEM SECURITY ASSESSMENT
Introduction to Security Assessment -Static Security Assessment-Summary of Different Types of Static Security Indices-Methods for Assessing Power System Security-Methods for Assessing Power System Security-Dynamic Security Assessment-Future Trends to Assessing Dynamic Security-Issues Related to Integration of Renewable Energies-Security Enhancement-Issues and Methods to Solve SCOPF Problem-Deal with the Challenges for Enhancing Dynamic Security.
TOTAL: 45 PERIODS
COURSE OUTCOMES:
Students able to
CO1: Define various concepts implied in State estimation and its need in DC networks.
CO2: Apply State estimation algorithms in modelling of transmission lines.
CO3: Compare the different types of formulation techniques of State estimation.
CO4: Analyse network observability and identify the bad data detection using different methods.
CO5: List the different types of assessing power system security and solve the issues.
REFERENCES
1. Ali Abur and Antonio Gomez Exposito ,“Power System State Estimation Theory and Implementation”, Marcel Dekker, Inc., New York . Basel, 2004.
2. J J Grainger and W D Stevension, “ Power System Analysis”, McGraw-Hill, Inc., 1994.
3. A Monticelli, “State Estimation in Electric Power Systems”, Kluwer Academic Publishers,1999.
4. Mukhtar Ahmad, “Power System State Estimation”, Lap Lambert Acad Publishers,2013.
5. Felix L. Chernousko, “ State Estimation for Dynamic Systems”, CRC Press, 1993
6. Naim Logic, “Power System State Estimation” , LAP Lambert Acad. Publ., 2010.
7. Power System Security Assessment and Enhancement: A Bibliographical Survey.