Low frequency oscillation problems are very difficult to solve because power systems are very large,complex and geographically distributed.The review efforts geared towards PSS developed based on optimization techniques,which effectively enhance both small signal stability,transient stability and equally provide superior performances.From this perspective,many successful and powerful optimization methods and algorithms such as Artificial Neural network,Genetic Algorithm,hybrid artificial intelli... 

【文章來源】：華南理工大學(xué)廣東省 211工程院校 985工程院校 教育部直屬院校

【文章頁數(shù)】：96 頁

【學(xué)位級(jí)別】：碩士

【文章目錄】：
Acknowledgement
Abstract
List of Acronyms
List of Symbols
Chapter 1 Introduction
    1.1 Power System Control
    1.2 Background
        1.2.1 Power System Stabilizer
        1.2.2 Conventional PSS
        1.2.3 Fuzzy Based PSS
        1.2.4 Neural Network Based PSS
        1.2.5 Genetic Based PSS
        1.2.6 Hybrid PSS
    1.3 Objective of My work
    1.4 Organization of Dissertation
Chapter 2 Preliminaries
    2.1 Power System Stability
    2.2 Definition of Power System Stability
    2.3 Classification of Power System Stability
        2.3.1 Rotor Angle Stability
        2.3.2 Voltage stability
        2.3.3 Frequency Stability
    2.4 Swing Equation
    2.5 Equal Area Criterion
    2.6 Synchronous Generator
        2.6.1 Construction of Synchronous Generator
        2.6.2 Equivalent Circuit of a Synchronous Generator
    2.7 Excitation System
    2.8 Types of Excitation System
        2.8.1 DC Excitation System
        2.8.2 AC Excitation System
        2.8.3 Static Excitation System
    2.9 Automatic Voltage Regulator
    2.10 Stability of a Single Machine Infinite Bus System
    2.11Generator Represented by the Classical Model
    2.12 Block Diagram Representation
    2.13 Power System Stabilizer Model
Chapter 3 A Comparison Study on Intelligent Control Strategies of Power System Stabilizers
    3.1 Basic overview
    3.2 Comparisons of Neural Network Based Controller with CPSS
    3.3 Breeder Genetic Algorithm Comparison with CPSS
    3.4 Nonlinear hybrid controller in multi-machine power system based on a power system stabilizer
    3.5 Simulation of SMIB with Fuzzy Logic Based PSS
    3.6 Results Comparison
    3.7 Chapter Summery
Chapter 4 A Disturbance-rejection Power Stabilizer for Power System Based-on Internal Model Control Framework
    4.1 Output Regulation
    4.2 Preliminaries and Problem Formulation
    4.3 Solvability of the Problem
Chapter 5 Simulation of Excitation Control with PSS in SMIB
    5.1 Simulation of SMIB without Excitation Controller
        5.1.1 Simulation of SMIB with Excitation Controller
        5.1.2 Simulation of SMIB with Conventional PSS (lead-lag) Controller
        5.1.3 Comparison of the Results and Discussion
    5.2 Simulation of SMIB with Proposed Controller of Output Regulation
    5.3 Chapter Summery
Conclusion
BIBLIAOGRAPHY
攻讀碩士學(xué)位期間取得的研究成果
附件



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