EEE 552: POWER SYSTEMS DYNAMICS AND CONTROL

EEE 552: POWER SYSTEMS DYNAMICS AND CONTROL
Economic load dispatch: system constraints; selection of generators, voltage, running spare capacity, transformer tap settings and transmission line. Network security and merit order scheduling. Dispatch neglecting losses: optimum dispatch, physical integration of co-ordination equations for transmission networks. Exact transmission loss formula; modified co-ordination equations, automatic load dispatch using digital computer. Voltage control: generator voltage, voltage control by reactive power insertion, controlling through power flow by means of magnitude and phase-changing transformers. Frequency control: tie-line loading frequency characteristics, speed governing system.
EEE 500: ENGINEERING PROJECT II
Each student will be required to undertake a simple practical project involving specification, review, analysis, design, development and research. The student is presented with a real world engineering problem, and the solution to the problem must demonstrate a rigorous scientific approach, i.e. problem definition, analysis, design, construction, measurement, evaluation and communication. Students are expected to work largely on their own initiative. The duration of each project is two semesters in the fourth year of study.
Telecommunication Option EEE 512: DIGITAL SIGNAL PROCESSING
Sampling theory, Z-transforms, system functions. Digital filter structures, signal ﬂow graphs, elementary FIR/IIR filter design techniques, windows, bilinear and band transformations. Discrete Fourier transform, relation- ship between DFT and DTFT, simple and short-time spectral estimation, fast computation of DFT as decimation-in-time. Linear convolution, cyclic convolution, sectioned convolution (overlap-add and overlap-save), application to fast filtering algorithms, windowing. Overview of microprocessor architectures for DSP, implementational aspects of simple DSP algorithms.
EEE 546: INFORMATION THEORY AND CODING
Review of probability theory: Sample space, Conditional probability, probability distributions, probability distribution functions, stochastic processes, statistical averages. Random variable and random process-covariance, Ergodic process, Markov process Source Coding: Mathematical model for information sources, Average mutual Information, Entropy in discrete and continuous cases, definition and properties of entropy, Joint and conditional entropy. The problem of unique decipherable code, instantaneous code, Kraft McMillan inequality. Discrete and Analogue Coding: Hufmanns Coding Algorithm, Discrete stationery sources, The Lempel Ziv algorithm, Optimum Quantization Rate, distortion function for memoryless Gaussian source. Upper bound of scalar quantization, vector quantisation, Linear predictive coding. Channel Coding: Channel models, Binary symmetric channel, Discrete memoryless channel, Discrete input contentious output channel, Channel capacity, Shannon fundamental theorem, Shannon Hartley theorem and its implications. Achieving channel capacity with orthogonal signals, channel reliability functions. Block and Convolution Codes: Linear block codes, Hadamard code, Golay code, Cyclic code, encoders, BCH code. Error detection and correction capability, convolutional codes, convolutional encoder, Viterbi algorithm.
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