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研究生: 鄭如岑
Cheng Ju-Tsen
論文名稱: 智慧型電表管理系統之遺失值處理
Missing Data Handling for Meter Data Management Systems
指導教授: 陳伶志
Chen, Ling-Jyh
學位類別: 碩士
Master
系所名稱: 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2013
畢業學年度: 101
語文別: 中文
論文頁數: 41
中文關鍵詞: 智慧型電表管理系統智慧型電表基礎架構
英文關鍵詞: Meter Data Management Systems, MDMS, Advanced Metering Infrastructure, AMI
論文種類: 學術論文
相關次數: 點閱:148下載:5
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  • 近年來傳統電表汰舊換新,因此智慧型電表的普及造就相關技術的討論與發展,其中管理電表資料的儲存系統稱為「電表資訊管理系統」(Meter Data Management Systems, MDMS),此一系統配合智慧型電表可以達到自動管理電力網路的目的,相對於傳統以人工抄表而言,更具效率且可避免人為的疏失來大幅提升電表值的正確及完整性。在用戶用電的過程中,智慧型電表會回報用電量給電表資訊管理系統,透過電纜或通訊網路傳送資料的過程中,會因為氣候因素、電磁波的環境干擾以及其他不可抗力之因素,造成電表值的錯誤,也影響了MDMS資料讀取儲存的異常。由於MDMS內的電表資料是做為用戶電費計價的標準,因此其資料對精準度的需求甚高,故儘管上述各種因素發生的機率不高,仍足以對MDMS造成相當程度的影響,基於上述原因,我積極研究如何修復電表遺失值,以補足因傳輸對MDMS正確性所造成的衝擊。本篇論文研究數種修復缺失值之演算法,並嚴格檢視多種方法的優缺點,並進行討論及探究,期望能找出一個最佳的解決方法。

    書名頁. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i 中文摘要. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i 目錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii 表目錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv 圖目錄. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v 一、緒論. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 二、相關研究. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 三、研究方法. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.1 問題定義. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3.2 回看法-N . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 3.3 三明治法-N . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3.4 例外狀況處理. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 四、實驗評估. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.1 資料集. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.2 資料分析. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.3 評估標準. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4.4 實驗結果. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 4.4.1 單一遺失狀況. . . . . . . . . . . . . . . . . . . . . . . . . . 14 4.4.2 連續遺失狀況. . . . . . . . . . . . . . . . . . . . . . . . . . 16 五、討論分析. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5.1 變數定義. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 5.2 數學模型. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 六、結論及未來展望. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 參考文獻. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 附錄A: 自回歸移動平均模型ARIMA . . . . . . . . . . . . . . . . . . . . . . 29 附錄B: 變數定義. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31 附錄C: 數學方程式. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 附錄D: 程式列表. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34

    [1] Itron. https://www.itron.com/, 2013.
    [2] Taiwan Power Company, http://www.taipower.com.tw/, 2013.
    [3] Bureau of Energy, Ministy of Economic A airs, Taiwan,
    http://www.moeaboe.gov.tw/, 2013.
    [4] Spanish Electricity Price Market Operator, http://www.omel.es/, 2013.
    [5] New York Independent System Operator, http://www.nyiso.com/, 2013.
    [6] Australian Energy Market Operator, http://www.nemmco.com.au/, 2013.
    [7] T. Khalifa, K. Naik and A. Nayak, A Survey of Communication Protocols for
    Automatic Meter Reading Applications. Communications Surveys & Tutorials,
    IEEE, 2011, Vol. 13(2), pp. 168-182.
    [8] T. Sauter and M. Lobashov, End-to-End Communication Architecture for
    Smart Grids. IEEE Transactions on Industrial Electronics, 2011, Vol. 58(4),
    pp. 1218-1228.
    [9] J. Quevedoa, V. Puiga, G. Cembranoa, J. Blancha, J. Aguilarb, D. Saportac,
    G. Benitod, M. Hedod and A. Molinad, Validation and Reconstruction of Flow
    Meter Data in the Barcelona Water Distribution Network. Control Engineering
    Practice, 2010, Vol. 18(6), pp. 640-651.
    [10] G. E. P. Box, G. M. Jenkins, G. C. Reinsel, Time Series Analysis: Forecasting
    and Control. 4(ed.), Wiley.com, 2013.
    [11] H. Wang and N. N. Schulz, Using AMR Data for Load Estimation for Distribution
    System Analysis. Electric Power Systems Research, 2006, Vol. 76(5), pp.
    336-342.
    [12] J. W. Taylor, Triple Seasonal Methods for Short-Term Electricity Demand
    Forecasting, European Journal of Operational Research, 2010, Vol. 204(1), pp.
    139-152.
    [13] S. Civanlar and J. J. Grainger, Forecasting Distribution Feeder Loads: Modeling
    and Application to VOLT/VAR Control. International Conference on Probabilistic
    Methods Applied to Power Systems, 2004, pp. 118-122.
    [14] D. Matheson, C. Jing, and F. Monforte, Meter Data Management for the
    Electricity Market. International Conference on Probabilistic Methods Applied
    to Power Systems, 2004, pp. 118-122.
    [15] J. Y. Fan and J. D. McDonald, A Real-Time Implementation of Short-Term
    Load Forecasting for Distribution Power System, IEEE Transactions on Power
    Systems, 1994, Vol. 9(2), pp. 988-994.
    [16] F. Martnez- Alvarez, A. Troncoso, J. C. Riquelme, and J. S. Aguilar-Ruiz,
    Energy Time Series Forecasting Based on Pattern Sequence Similarity. IEEE
    Transactions on Knowledge and Data Engineering, 2011, Vol. 23(8), pp. 1230-
    1243.
    [17] A. J. Conejo, M. A. Plazas, R. Espinola, and A.B. Molina, Day-Ahead Electricity
    Price Forecasting Using the Wavelet Transform and ARIMA Models.
    IEEE Transactions on Power Systems, IEEE, 2005, Vol. 20(2), pp. 1035-1042.
    [18] J. P. S. Catal~ao, S. J. P. S. Mariano, V. M. F. Mendes, and L. A. F. M.
    Ferreira, Short-Term Electricity Prices Forecasting in a Competitive Market: A
    Neural Network Approach. Electric Power Systems Research, 2007, Vol. 77(10),
    pp. 1297-1304.
    [19] C. Garcia-Martos J. Rodriguez and M. J. Sanchez, Mixed Models for Short-
    Run Forecasting of Electricity Prices: Application for the Spanish Market. IEEE
    Transactions on Power Systems, 2007, Vol. 22(2), pp. 544-552.
    [20] A. T. Lora, J. M. R. Santos, A. G. Exposito, J. L. M. Ramos, and J. C. R.
    Santos, Electricity Market Price Forecasting Based on Weighted Nearest Neighbors
    Techniques. IEEE Transactions on Power Systems, 2007, Vol. 22(3), pp.
    1294-1301.
    [21] E. Wu and M. Staroswiecki, Fault Detection, Supervision and Safety of Technical
    Processes. 1(ed.), Elsevier Science, 2004.
    [22] US Census Bureau, X-12-ARIMA Reference Manual Version 0.2.10.
    http://www.census.gov/srd/www/x12a/, 2013.
    [23] H. Tram, Technical and Operation Considerations in Using Smart Metering
    for Outage Management. Transmission and Distribution Conference and Exposition,
    2008, T&D. IEEE/PES, pp. 1-3.
    [24] K. Sridharan and N. N. Schulz, Outage management through AMR systems
    using an intelligent data filter. IEEE Transactions on Power Delivery, 2001,
    Vol. 16(4), pp. 669-675.
    [25] D. E. Goldberg. Genetic algorithms in search, optimisation, and machine learning.
    Addison Wesley Longman, Inc., 1989.
    28

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