F031515 Applications of Large System Optimization Theory to Power Systems 大系统优化理论在电力系统中的应用

 

“大系统优化理论在电力系统中的应用”课程简介

Introduction of Applications of Large System Optimization Theory to Power Systems

课程名称 (Course Name) Applications of Large System Optimization Theory to Power Systems

课程代码 (Course Code):F031515

学分/学时 (Credits/Credit Hours)2/32

开课时间 (Course Term ) : 春季  Spring

开课学院(School Providing the Course: 电子信息与电气工程学院  SEIEE

任课教师(Teacher: 严正  Yan Zheng

课程讨论时数(Course Discussion Hours:  4 小时(Hours)

课程实验数(Lab Hours: 4 小时(Hours)

课程内容简介(Course Introduction):

This course is a selective course for first-year graduate students who are interested in applying practical optimization theory to solve power system optimization problems. The aim of this course is to strengthen students’ basic concepts of conventional optimization theory and introduce typical solution methods for optimization problems arising from power system operation, control and planning. Contents include study of preliminary ways of building optimization models of various power systems problems, applications of conventional optimization techniques, such as linear, nonlinear and mixed integer optimization methods, to solve power system problems, analysis of major difficulties arising from large scale power systems, identifications of limits of the chosen optimization methods. This course will prepare students to grasp optimization spirits with applications to power systems, that go beyond the limits of mere technical calculations.

教学大纲(Course Teaching Outline):

This course consists of four major parts. Part 1 revisits the classic Economic Dispatch and its variants in the new environment of electricity markets. Part 2 introduces the preliminary theory of conventional optimization methods most widely used in large scale power systems. Part 3 presents some modern artificial optimization method such as simulated annealing, genetic algorithms, ant-colony algorithm, etc., and explains how these methods could be applied to specific power system optimization models. Part 4 emphasize modeling of frequently-encountered power system optimization problems, such as hydro-thermal scheduling, unit commitment, generation scheduling, optimal power flow and also touched optimization problems arising from power system operation, planning, renewable-energy scheduling, smart grids and scheduling in the environment of electricity market. The course includes large amounts of home works and after-class readings. The preliminary Prerequisites for this course are Power System Analysis, Optimization Theory.

 

课程进度计划(Course Schedule):

Week 1

Introduction, Economic Dispatch Revisited

Week 2

Optimality conditions (Part 1 : unconstrained)

Week 3

Optimality conditions (Part 2 : linearly constrained)

Week 4

Optimality conditions (Part 3 : nonlinearly constrained)

Week 5

State Estimation, Penalty function methods

Week 6

Heuristic optimization methods

Week 7

Optimal power flow and Hydro thermal scheduling

Week 8

Transmission service in Electricity markets

课程考核要求(Course Assessment Requirements)

Homework 50%+ Final project report 50%

参考文献(Course References)

Allen J Wood, Bruce F Wollenberg, Power Generation, Operation and Control (2th edition), Tsinghua University Press, 2003. ISBN 7-302-07692-8 (required)

[ 2015-11-26 ]