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Graduate Program for Foreign Students
 

Chongqing University

 

Graduate Program

 

Of Courses Offered in English for Foreign Students

 

 

 

Major       Electrical Engineering    

Major  Code    430108                      

School:  School of Electrical Engineering

 

 

 

      Graduate School of Chongqing University

2012.9

 

 

 

 

1. Objectives 

The program aims to prepare students for careers in the fields of Electrical Engineering to meet the increasing requirement on the Electric Power Operation and Automatic Control, High Voltage Engineering, New Technology in Electric Power, Power Electronics and Renewable Resource for Electric Power.

 

2. Cultivating Objects and Requirements

On completion of a Master of Electrical Engineering, the graduates are expected to have the following knowledge and specialized skills:

1). Having knowledge in the operation of Electric Power and analysis, test and inspection on the Electric Apparatuses.

2). Applying Electrical engineering methodologies and standards to analyze the principle, safety operation standard and test method.

3). Having the ability to manage Electrical Engineering projects and evaluate quality of Electrical system.

4). Having the ability to explore the new technology in the Electrical Engineering Field.

 

3. Program Duration and Degree Awarded

1). Program duration: 2 years

2). Degree awarded: Master of Electrical Engineering (MEE)

 

4. Course Requirements

The master of Electrical Engineering degree requires 24 credits, as well as an advanced project or thesis. Projects must be approved by a member of the faculty.

23 credits from courses are required, of which 13 credits must be from the degree courses ( 4 credits for Chinese, 3 credits for the Foundation of Applied Mathematics, and 6 credits from major courses), the other 6 credits must be from other major courses.

1 credit is required for the study of academic reports, for which the student must take part in at least 3 academic reports.

 

5. Curriculum

Course Type

Modules

Code

Course Name

Hours

Credits

Semesters

Remarks

Degree

Course

Common   Degree Courses

G95000

Basic Chinese1

32

2

1

Obligatory

G95001

Basic Chinese2

32

2

2

Obligatory

ZG06008

Numerical Analysis

45

3

Professional  Degree Courses

ZS11019

Electric Power Systems

30

2

1

ZS11020

Modern Power electronic Technology

30

2

1

ZS11021

Fundamentals of High Voltage Engineering

30

2

1

ZS11022

Artificial Intelligence Techniques

30

2

1

ZS11023

Digital Signal Processing

30

2

1

ZS11035

Distributed Power Generation Technology

30

2

2

ZS11024

Electromagnetic Field and Electromagnetic Compatibility

30

2

2

Non-degree Course

Common Non-degree Course

公共非学位课

G97004

Chinese Culture

English

32

2

1

Obligatory

Professional Obligatory Course

Professional Elective Course

ZS11047

Renewable Generation Smart Grids

32

2

Practise course

Can be rectified according to actual situation

Academic Reports

ZS11036

Systems Health Monitoring and Fault Diagnosis

16

1

Specialized Course

Others

 

 

6. Course Description

1).Electric Power Systems(电力系统)

TeacherZhao Xia         Credit: 2

This course contributes to the engineering topics component of the curriculum, primarily in engineering science and design, and students can learn fundamental electric power engineering concepts and develop technical expertise in this specialized field. The course provides an introduction to electric power system, including the basic concepts of a.c., single-phase and three-phase power, per-unit calculation, transformer analysis, synchronous machines, Y-bus and Z-bus matrices, load flow analysis, symmetrical components, balanced three-phase fault study, unbalanced fault study, economic dispatch.

 

2). Modern Power electronic Technology(现代电力电子技术)

TeacherWang MingyuDu Xiong                       Credit: 2

This course provides an introduction to power electronics and its applications. The broad objective of the course is to teach students energy conversion and processing using power electronic converters. It aims to develop student knowledge and understanding of power devices, converters and help students apply their mathematical skills and knowledge of electronics to a number of practical problems. At the end of this course students will be able to explain working of various power devices and converters, derive converters mathematical relations, analyze and design electronics for the control of energy converters. Laboratory exercises are basically guided design problems. Extensive use of Matlab is also included in this course.

 

3). High Voltage Engineering(高电压工程)

TeacherLi Jian              Credit: 2

The course provides the introduction to the high voltage techniques in high voltage engineering. The following topics are designed to give the students a understanding and learning of high voltage techniques: experimental and computational methods, electrical breakdown in gasses, Townsend’s breakdown criterion, Paschen’s law, Streamer or “Kanal” mechanisms, breakdown in non-uniform field and corona, electrical break down of dielectric liquids and solids, insulating materials, dielectric measurements, generation and measurement of high AC, DC and impulse voltages and currents, electrostatic generators, testing transformers and series resonant circuits, impulse voltage and current generator circuits, sphere and uniform field gaps, electrostatic generating and peak voltage measuring voltmeters.

 

4). Artificial Intelligence Techniques(人工智能技术)

TeacherChen Minyou          Credit: 2

This course covers the main topics in Artificial Intelligence (AI) and Computational Intelligence (CI). The course introduces representations, techniques, architectures, and problem-solving paradigms used to build applied intelligent systems and to account for intelligence from a computational point of view. The main focus will be on machine learning which provides an overview of many techniques and algorithms in computational intelligence, beginning with topics such as simple perceptrons and ending up with more recent topics such as support vector machines (SVM) and evolutionary computation. The module presents some of the most widely used neural networks architectures (MLP, RBF, SON, etc) and their theoretical justification. This course also provides the basic principle of fuzzy inference systems and the framework of neural-fuzzy modeling. The course gives the student the basic ideas and intuition behind modern Artificial Intelligence technology as well as a bit more formal understanding of how and why they work. The underlying theme in the course is machine learning as this provides the foundation for most of the methods covered.

 

5). Digital Signal Processing(数字信号处理)

TeacherErwin Stoschek, Zhang Li               Credit: 2

This course is designed to provide an insight into the main issues concerning the design and performance of a large power network, to develop models and analytical techniques used in the calculation of the characteristics and specification of the main items of equipment involved in the generation, transmission and distribution of electrical power.

 

6). Distributed Power Generation Technology(分布式发电技术)

TeacherLi Hui                       Credit: 2

The objectives of this course are to learn about the operational principles, control strategies and grid requirements of variable distributed power generation systems, like photovoltaic, wind turbines connected to the utility grid or to a micro grid. It introduces the development and trends of all kinds of renewable energy systems, an overview of different wind turbine generation systems, modelling and control schemes of the pitch driver system, the grid side and the generator side converter systems of the variable speed constant frequency (VSCF) wind turbine system. In addition, a wind power generation system with a doubly fed induction generator (DFIG) is covered in detail, including the mathematical models, the active and reactive power decoupling control, the maximal wind energy capture control, and the low voltage ride-through capability of the gird requirements.

 

7). Electromagnetic Field and Electromagnetic Compatibility(电磁场与电磁兼容)

TeacherYang Fan         Credit: 2

The objective is to develop the student's understanding of the theoretical foundations of electromagnetic field and to introduce the student to some of the more important engineering applications of this theory. After completing this course the student will understand the basic principles of electric field and magnetism and their expression in terms of Maxwell's equations. The student will also be able to apply Maxwell's equations to some important problems of electromagnetic engineering, including the propagation of radio waves and the principles behind basic electrical machines and transformers. In addition the introduction to the EMC techniques will be covered.

 

8). Renewable Generation Smart Grids (新能源发电与智能电网)

TeacherPeter Tavner            Credit: 2

This course covers the main topics in renewable distributed generation techniques, Wind, PV, CHP & Hydro, their technologies, strengths and weaknesses. Corresponding technologies include: technologies for connecting renewable generation to the electrical grid at the appropriate frequency and voltage, Buck and Boost Choppers, Inverters and Converters; technologies of Medium Voltage (MV) electrical grids, transformers, switchgear, power electronics and control; The reliability, availability and condition monitoring of sustainable regional electrical grids with such generation, including their practical operation. The course also discusses the effect of these technologies on power flow, fault levels, switchgear and protection; the development of Smart Electrical Grids to incorporate these technologies and mitigate any unsatisfactory effects on power flows and protection and considering the potential for incorporating other energy vectors than electricity, eg gas, oil and hydrogen; the regulatory impact on these technologies and hoe it will be possible commercially for these technologies to contribute practically to China's power needs.

 

9). Systems Health Monitoring and Fault Diagnosis(系统状态监测与故障诊断)

TeacherVisakan Kadirkamanathan                       Credit: 2

This short course introduces the fundamental theories in systems health monitoring and their practice in aircraft gas turbine engines. The aim is to impart the philosophy behind the development of the variety of approaches and the different scenarios under which they become the method of choice. The course uses some mathematical and statistical theory to provide insight to the various methods.

 

 

 7. Thesis

Students should identify topics appropriate for thesis, and advisers for thesis, by consultation with faculty members. Students writing a thesis are required to submit a thesis prospectus by the end of the first year study. The prospectus should have been pre-approved by the thesis adviser. The student's adviser will propose a committee to the faculty for approval. The thesis committee, chaired by the adviser, will include at least three faculty members including one member from outside the department. Upon completion of the research, the student must prepare a dissertation and publicly defend it.