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研究生: 林建宏
Chien Hung Lin
論文名稱: 柴油引擎同步發電機慣量及調速機參數辨識
Parameters Identification of Inertia and Governor System for Diesel-Engine Synchronous Generator
指導教授: 吳啟瑞
Chi-Jui Wu
口試委員: 許源浴
Yuan-Yih Hsu
陳建富
Jiann-Fuh Chen
張文恭
Wen-Kung Chang
許炎豐
Yen-Feng Hsu
陳昭榮
Chao-Rong Chen
楊俊哲
Jun-Zhe Yang
辜志承
Jyh-Cherng Gu
吳啟瑞
Chi-Jui Wu
學位類別: 博士
Doctor
系所名稱: 電資學院 - 電機工程系
Department of Electrical Engineering
論文出版年: 2021
畢業學年度: 109
語文別: 中文
論文頁數: 108
中文關鍵詞: 柴油引擎同步發電機調速機慣量參數辨識粒子群演算法
外文關鍵詞: Diesel-Engine Synchronous Generator, Governor, Inertia, Parameter Identification, PSO
相關次數: 點閱:192下載:4
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  • 正確評估系統事故發生期間最大頻率變動及各機組扛載能力,是確保電力系統穩定度規劃的重要關鍵。為使模擬結果更趨於實際響應,應先評估模擬資料的正確性。有時發電機及調速機相關模型參數須更新與確認,以利更正確進行系統衝擊分析。電力系統動態模擬,關鍵技術包含模型及參數辨識。系統發生事故時,影響頻率變動模擬結果的主要因素包括發電機慣量(H)、阻尼常數(D)和調速機模型參數。因金門離島電力系統跳機頻率響應模擬結果與實際事故紀錄之頻率曲線差異甚大,故本研究進行柴油引擎同步發電機參數辨識技術開發,期能使模擬結果更貼近實際響應結果。金門系統塔山電廠有一期機組及二期機組,兩期機組特性不相同,一期機組於2000年加入系統。隨著機組維修及設備更換,設備特性及參數亦隨之改變。本研究針對柴油引擎同步發電機提出慣量及調速機參數的識別方法,分別使用修改後的卸載試驗程序(Modified Load Rejection Procedures),求得發電機組慣量,另使用二階段粒子群演算法(Two-Stage Particle Swarm Optimization, Two-Stage PSO)於降階模型的調速機參數辨識。最終透過(Power System Simulator / Engineering, PSS/E)模擬顯示,本文提出的修正參數值,使得模擬結果較使用既有參數的模擬結果趨近於實際量測。


    Accurate estimation of the maximum frequency deviation and the active power capacity of each generator unit during system contingencies are vital in power system planning and stability analysis. In the Island Kinmen power system, it lacks updated parameters of diesel-engine synchronous generators. From the comparison of frequency response curves during tripping events of generators, there are significant differences between simulation results and field records. Since the correctness of parameters often implies more accurate simulation results, this dissertation attempts to conduct the development of a parameter identification technology of the diesel-engine synchronous generators in the Kinmen power system. This dissertation proposes a method to perform identification of inertia and governor parameters. The inertia of the generator set is obtained by using the modified load rejection test procedure. The parameters of reduced-order governor model are identified by using the Two-Stage PSO method. By observing the results of PSS/E simulation with the parameters identified in this dissertation, it is found that the simulation results are more in line with to the actual measurements, when comparing the simulation results with the old parameters.

    摘要………………………………………………………………………I ABSTRACT……………………………………………………………………II 誌謝……………………………………………………………………III 目錄……………………………………………………………………IV 圖索引……………………………………………………………………VII 表索引……………………………………………………………………X 符號索引……………………………………………………………………XII 第一章 緒論……………………………………………………………………1 1.1 研究背景與動機……………………………………………………………………1 1.2 文獻回顧……………………………………………………………………2 1.3 研究內容……………………………………………………………………6 1.4 章節敘述……………………………………………………………………7 第二章 發電機測試程序及調速機參數驗證概述……………………………………………………………………9 2.1 前言……………………………………………………………………9 2.2 金門電力系統……………………………………………………………………9 2.3 柴油引擎同步發電機介紹……………………………………………………………………11 2.4 PSS/E發電機與調速機模型與參數……………………………………………………………………12 2.5 發電機與調速機測試程序……………………………………………………………………15 2.5.1. 發電機模型參數試驗……………………………………………………………………15 2.5.2. 調速機模型參數試驗……………………………………………………………………19 2.5.3. 塔山電廠卸載試驗(Load Rejection Test)概要……………………………………………………………………20 2.6 發電機慣量……………………………………………………………………21 2.7 粒子群演算法(PSO)介紹……………………………………………………………………23 2.8 國際試驗標準……………………………………………………………………28 2.9 小結……………………………………………………………………31 第三章 柴油引擎同步發電機慣量辨識……………………………………………………………………32 3.1 前言……………………………………………………………………32 3.2 慣量辨識易被忽略之因子……………………………………………………………………32 3.2.1. 單機慣量對機組加速特性的影響……………………………………………………………………33 3.2.2. 電氣頻率與機械頻率的差異性……………………………………………………………………35 3.2.3. 單機跳機之頻率實際量測與模擬差異性……………………………………………………………………38 3.3 慣量辨識方法1-卸載法(Load Rejection)……………………………………………………………………39 3.4 慣量辨識方法2-修正卸載法(Modified Load Rejection)……………………………………………………………………43 3.5 利用方法2獲得慣量(H)辨識值……………………………………………………………………48 3.6 小結……………………………………………………………………53 第四章 柴油引擎同步發電機之調速機降階模型參數辨識……………………………………………………………………54 4.1 前言……………………………………………………………………54 4.2 直接使用PSO辨識……………………………………………………………………54 4.3 控制系統降階處理過程……………………………………………………………………57 4.4 二階段PSO辨識流程……………………………………………………………………60 4.5 使用二階段PSO之調速機辨識結果……………………………………………………………………61 4.6 小結……………………………………………………………………65 第五章 綜合實驗分析結果……………………………………………………………………66 5.1 前言……………………………………………………………………66 5.2 不同案例模擬波形比對……………………………………………………………………66 5.3 小結……………………………………………………………………76 第六章 結論與未來研究方向……………………………………………………………………77 6.1 研究成果……………………………………………………………………77 6.2 未來研究方向……………………………………………………………………78 參考文獻……………………………………………………………………79 附錄A 台灣電力公司塔山電廠發電機有載試驗程序……………………………………………………………………83 附錄B 塔山一期機組單機慣量規格表……………………………………………………………………89

    [1] D. N. Kosterev, C. W. Taylor, and W. A. Mittelstadt, “Model validation for the August 10, 1996 WSCC system outage,” IEEE Transactions on Power Systems, vol. 14, no. 3, pp. 967-979, Aug. 1999.
    [2] NERC, Power System Model Validation, NERC Planning Committee, pp. 21, 2010.
    [3] 林建宏、王永富、廖清榮,澎湖、金門及馬祖等離島電力系統模型與參數研究,台灣電力股份有限公司,民國106年12月。
    [4] J. F. Hauer and J. W. Burns, Roadmap to Monitor Data Collected during the WSCC Breakup of August 10, 1996, Pacific Northwest National Laboratory, pp. 2, 2010.
    [5] https://gordonchengs3rdblog.wordpress.com/2017/09/12/從台電815大停電談起美國電力系統可靠度標準, “從台電815大停電談起美國電力系統可靠度標準.”
    [6] NERC, Standard MOD-026-1 Verification of Models and Data for Generator Excitation Control System or Plant Volt/Var Control Functions, NERC Reliability Standards, pp.1-17, 2014.
    [7] NERC, Standard MOD-027-1 Verification of Models and Data for Turbine/Governor and Load Control or Active Power/Frequency Control Functions, NERC Reliability Standards, pp.1-15, 2013.
    [8] NERC, Reliability Guideline: Power Plant Model Verification and Testing for Synchronous Machines, NERC Reliability Standards, pp. 39-42, 2018.
    [9] Z. L. Gaing, “A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System,” IEEE Transactions on Energy Conversion, vol. 19, no. 2, pp. 384-391, Jun. 2004.
    [10] C. C. Tsai, W. J. Lee, E. Nashawati, and H. W. Lan, “PMU based generator parameter identification to improve the system planning and operation,” Proceeding of 2012 IEEE Power and Energy Society General Meeting, pp. 1-8, San Diego, July 2012.
    [11] B. Hu, J. Sun, L. Ding, X. Liu, and X. Wang, “Dynamic Equivalent Modeling for Small and Medium Hydropower Generator Group Based on Measurements,” Energies, vol. 9, no. 5, pp. 362, May 2016.
    [12] B. Cao, J. Zhao, Z. Lv, X. Liu, S. Yang, X. Kang, and K. Kang, “Distributed Parallel Particle Swarm Optimization for Multi-Objective and Many-Objective Large-Scale Optimization,” IEEE Access, vol. 5, pp. 8214-8221, May 2017.
    [13] A. K. Jain, J. Mao, and K. M. Mohiuddin, “Artificial neural networks: a tutorial,” Computer, vol. 29, no. 3, pp. 31-44, Mar. 1996.
    [14] http://rportal.lib.ntnu.edu.tw/bitstream/20.500.12235/95760/3/n069475001303.pdf, “國立臺灣師範大學遺傳演算法.”
    [15] Y. d. Valle, G. K. Venayagamoorthy, S. Mohagheghi, J. Hernandez, and R. G. Harley, “Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 2, pp. 171-195, Apr. 2008.
    [16] 林家榮,發電機組參數動態模擬識別技術之研究,國立成功大學碩士論文,民國103年7月。
    [17] T. Yang, Y. Feng, T. Yang, Y. Ren, L. Tang, and Y. Li, “Parameter Identification of Steam Turbine Speed Governor System,” Proceeding of 2012 Asia-Pacific Power and Energy Engineering Conference, pp. 1-8, Shanghai, China, Mar. 2012.
    [18] PSS/E documentation version 32.0.5.
    [19] 江榮城、廖清榮,「赴加拿大參加『發電機組模型參數定期量測與確認』訓練課程」,公務出國報告,民國99年10月。
    [20] IEEE, IEEE Guide for Test Procedures for Synchronous Machines Including Acceptance and Performance Testing and Parameter Determination for Dynamic Analysis, IEEE Std 115-2019, pp.1-246, Mar. 2020.
    [21] IEEE, IEEE Recommended Practice for Industrial and Commercial Power System Analysis, IEEE Std 399-1990, pp.1-384, Dec. 1990.
    [22] https://www.idc-online.com/technical_references/pdfs/electrical_engineering/Speed_Time_Curve.pdf#:~:text=The curve drawn between speed and time is, the distance covered in the corresponding time interval, “Speed Time Curve.”
    [23] N. Chuang, “Robust H∞ load frequency control in interconnected power systems,” Proceeding of 2013 Australasian Universities Power Engineering Conference (AUPEC), pp. 1-6, Hobart, Australia, Oct. 2013.
    [24] G. Bianchi and R. Sorrentino, Electronic Filter Simulation & Design, McGraw-Hill Professional, 1st ed., pp. 17-32, 2007.
    [25] Y. Shin, Time Series Analysis in the Social Sciences: The Fundamentals, University of California Press, pp.107-108, 2017.
    [26] F. Golnaraghi and B. C. Kuo, Automatic Control Systems, 9th ed., Wiley, pp. 313-314, 2009.
    [27] NEPLAN., Turbine Governor Models, Standard Dynamic Turbine-Governor Systems in NEPLAN Power System Analysis Tool, pp 1-99, 2015.
    [28] Y. Bian, H. W. Pain, F. Li, R. Bhakar, S. Mishra, and N. P. Padhy, “Demand Side Contributions for System Inertia in the GB Power System,” IEEE Transactions on Power Systems, vol. 33, no. 4, pp. 3521-3530, Jul. 2018.

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