80220112 (Modern Communications in Electric Power Systems)Course Name: Modern Communications in Electric Power Systems

Course Number: 80220112

Program: Graduate program

Type: Selective

Credits: 2

Term Offered: Fall

Prerequisite(s): Probability and Random Variables, Signal and Systems, Fundamentals of Communication Systems

Instructor(s):  Jingbo Guo


J.G. Proakis, Communication Systems Engineering ,2ed,PHE,2002.(in Chinese or in English).


J.G. PROAKIS, Contemporary Communication Systems Using MATLAB, 2ED, PHE, 2004.

Simon Haykin, Communication Systems, 4th, PHE, 2003. (in Chinese or in English)

John G..Proakis, Fundamentals of Communication Systems, Prentice Hall and PHE, 2007. (in Chinese or in English)

Papers selected from IEEE Transactions on Communications/Power Delivery/Signal Processing.


Course Description:

 The course is about the digital transmission, estimation and its applications in electric power systems relating automatic control, supervision, protection relaying, etc.

 The course provides students with digital information transmission and its performance in noise, the implementations of digital transmission systems and its typical applications in electric power systems.


Course Objectives and Outcomes:


Numbers in brackets are linked to department educational outcomes

1.Students learn the representation for the real transmission channel in electric power systems. [1]

2.Students engage in engineering design of communication system components, such as optimum receiver and matched filter. [3]

3.Students learn to analyze the performance, spectral efficiency, and complexity of the various options for transmitting digital message signals.[3]

4.Students learn to estimate the parameters and states of signal waveforms in noise. [5,10]


Course Topics:


1.Introduction to digital information transmission and estimation in electric power systems.

2.Typical transmission channel characterization. Power line channel, wireless channel and fiber optics channel. 

3.Noise in communication systems. Random process, correlation and spectral of random noise, ARMA process and its modeling.

4.Optimum signaling in band-limited channel. ISI, distortionless criterion of digital transmission, equalization.

5.Optimum receiving of digital signals in noise. Matched filter, correlation receiver.

6.Multichannel and multicarrier transmission.Capacity of MC, bit and power allocation in MC.

7.Parameter Estimation and Winner-Kolmogorov filtering. MMSE estimation, Winner-Kolmogorov equation, noncausal Winner-Kolmogorov filtering, causal Winner-Kolmogorov filtering, discrete time causal Winner-Kolmogorov filtering.

8.State Estimation and Kalman filter. Liner estimation, discrete time Kalman Filtering, introduction to nonlinear filtering.



1.Theme project 1-equalization of base band channel.

2.Theme project 2-optimum receiver of digital signals

3.Theme project 3- bit and power allocation in MC transmission.

4.Theme project 4- Kalman filtering for a transmission sytems.


Course Assessment:

       Homework measures, 20%.

       Theme project measures, 80%.