Course Objectives:

1.               To understand the reliability processes and reliability measures.

2.                  To demonstrate the reliability analysis of Generators and transmission systems models through analytical ways.

3.               To explain system modes of failures through reliability study.

Graph Theory: Introduction to graph theory, series, parallel, series-parallel configuration


Law of large numbers: Discrete and continuous random variables, Central limit theorem: Bernoulli trials, Discrete and continuous independent trials.


Stochastic Processes: Markov chains: Discrete and continuous, Transient analysis, Computation of equilibrium probabilities, Stationary distribution and Transient distribution of Markov chains. Exponential distribution and poisson process and applications, Birth-death processes and applications, Modelling for queuing process, Meantime to failure, Series and parallel system, MARKOV process: Recursive technique.


Generator System Reliability Analysis: Probability models for generators unit and loads, Reliability analysis of isolated and interconnected system, Generator system cost analysis: Corporate model, Energy transfer and off peak loading.


Transmission System Reliability Model Analysis: Average interruption rate: LOLP method, Frequency and duration method, Two plant single load system-two plant two load system-load forecasting uncertainly interconnections benefits.


Operating Reserve: General concepts, PJM method and its modified structure, postponable outages, Security function approach, Evaluation techniques of spinning reserves.


Introduction to System Modes of Failure: The loss of load approach: Frequency & duration approach, Spare value assessment, Multiple bridge equivalents.


Minor Project: Assessment of generation adequacy with conventional and non-conventional generating units


Course Learning Outcomes (COL):

On the completion of the course, the student will be able:

1.      To acquire the skills to perform reliability analysis of the power system such as generators, transmission lines etc. using analytical simulation tools.

2.      To apply knowledge in the domains of stochastic processes for reliability study.

3.      To solve the problems at the higher level of power system security related analysis through application of security function approach they will be able.

4.      To analyze the system modes of failure to enhance the power system reliability.

Recommended Books:

1.      Hoel, P.G., Port, S.C., and Stone, C.J., Introduction to Probability Theory, Universal Book Stall (1998).

2.      Eodrenyi, J., Reliability Modelling in Electric Power System, John Wiley and Sons (1980).

3.      Billinton, Roy, Power System Reliability Evaluation, Gordan and Breach Scain Publishers (1970).

Billinton, R., Ringlee, R.J., Wood, A.J., Power System Reliability Calculations, MIT Press, (1973).