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基于模糊邏輯的電力系統(tǒng)雙反饋異步機穩(wěn)定性的基礎(chǔ)研究

發(fā)布時間:2021-08-16 22:03
  Nowadays electric power systems are becoming more and more complex, and they are often subjected to various stability problems because of the unbalance between the power demand and power supply. Among the different ways being proposed to improve the dynamic performance of the system, a round rotor structure doubly-fed asynchronous machine (DASM) is investigated in the paper to control the active and reactive power of the system.On the other hand, because of the dynamic and stochastic nature of t... 

【文章來源】:武漢科技大學(xué)湖北省

【文章頁數(shù)】:75 頁

【學(xué)位級別】:碩士

【文章目錄】:
英文摘要
1. Introduction
    1.1 General background
    1.2 Organization of the thesis
2. Doubly-fed asynchronous machine and its power control
    2.1 Basic concept of Doubly-fed Asynchronous machine(DASM)
    2.2 Independent active and reactive power control for DASM
    2.3 Composition of the control system
3. Introduction to the fuzzy logic controller
    3.1 Basic concept of the fuzzy logic
    3.2 Basic concept of the PID-like fuzzy logic
    3.3 Design of a fuzzy logic controller
        3.3.1 Fuzzification
        3.3.2 Fuzzy rule base
        3.3.3 Fuzzy inference
        3.3.4 Defuzzification
    3.4 General description of the PID controller as compared with fuzzy logic controller
4. Simulation of the power system stabilization with doubly-fed asynchronous machine(1)
    4.1 Power system model and description
    4.2 Tuning for appropriate PI controller gain
    4.3 Desired power compensation calculation
        4.3.1 Design a conventional P controller
        4.3.2 Design a P-like fuzzy logic controller
    4.4 Comparison studiea and result analysis
5. Simulation of the power system stabilization with doubly-fed asynchronous machine(2)
    5.1 Power system model and description
    5.2 Tuning for appropriate PI controller gain
    5.3 Desired power compensation calculation
        5.3.1 Design a conventional P controller
        5.3.2 Design a P-like fuzzy logic controller
        5.3.3 Design a conventional fuzzy logic controller
    5.4 Comparison studies and result analysis
6. Conclusion
    6.1 Overall conclusion
    6.2 Further research works
Acknowledgement
List of references
List of publications
Appendix



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