• 沒有找到結果。

5.4 伺服器與資料庫測試

5.4.3 線上指標資料查詢

在電力品質網站首頁點選“Data Search”之後便可查詢各項指標的歷史資料,畫面左側有各項指標 的選項。圖 52 至 55 為各項指標查詢結果,在每項指標資料查詢的頁面中皆會顯示目前最新的 10 筆資 料,其格式同樣按照原先資料排列的設定,包含時間、地點、使用者、系統頻率與各項電力品質指標 資訊。若在指標走勢圖中察覺異狀可在搜尋空格中鍵入時間點,進一步詳細檢閱資料。另外,由於各 項指標的完整資料量較為龐大,例如電壓變動的異常電壓有效值及異常波形,電壓閃爍的電壓頻譜,

以及諧波的電壓電流頻譜等,可透過單筆查詢取得完整資訊,如圖 56 至圖 58 所示。

圖 52 電壓變動指標資料查詢網頁

圖 53 電壓閃爍指標資料查詢網頁

圖 54 諧波指標資料查詢網頁

圖 55 電力參數指標資料查詢網頁

圖 56 單筆電壓變動查詢結果

圖 57 單筆電壓閃爍查詢結果

圖 58 單筆諧波查詢結果 5.4.4 長時間資料統計

線上監測頁面,除了走勢圖形與資料查詢之外,亦包含各項指標的基本統計資料,其結果如下:

(1) 電壓變動:圖 59 為電壓變動在一星期內的資料統計結果,其中包含電壓的最大值、最小值與平均 值,此外亦統計電壓變動事件發生的次數與最大的變動幅度與最大持續時間。

(2) 電壓閃爍:圖 60 為電壓閃爍資料統計頁面,其中包含電壓有效值與

∆V

10之最大最小與平均值。

(3) 諧波:圖 61 為諧波資料統計頁面,其中包含電壓、電流、

THD

V、TDDi之最大、最小、與平均值。

電流有效值與 TDDi為冷氣機運轉時之統計資料。

(4) 電力參數:如圖 62 所示,包含 V,I,P,Q,S,PF,皆為冷氣運轉狀態下之資料統計。

圖 59 電壓變動資料統計畫面

圖 60 電壓閃爍資料統計畫面

圖 61 諧波資料統計畫面

圖 62 電力參數資料統計畫面

5.4.5 行動裝置查詢

在行動裝置的行動化通訊網路方面,使用者可利用手機與 PDA 等上網,這些資訊通同樣分為指 標走勢與歷史資料的查詢。圖 63 為各項指標走勢在手機上的顯示情況,而圖 64 至為各項指標資料查 詢結果。由圖中可知行動裝置同樣可以正確的觀察訊號處理單元所上傳的電力品質資訊。

(a) (c)

(b) (d)

圖 63 手機監測諧波走勢網頁,(a) THDv,(b) Vrms,(c) TDDi,(d) Irms

(a) (c)

(b) (d)

圖 64 手機查詢各項指標資料網頁,(a)電壓變動資料查詢,(b)閃爍資料查詢,(c)諧波資料查詢,(d)電 力參數資料查詢

5.5 結論

伴隨科技的發展,電力品質越受重視。不良的電力品質將會造成重大的經濟損失,甚至威脅人身 安全。而要預防電力品質事件的發生,需仰賴精確與方便的儀測系統有效的監測各項電力品質擾動因 數,以進行責任之確定,並針對各種擾動源採改善措施。為達到以上目標,本研究選用低價位之通用 雙微處理器搭配 GPRS 無線傳輸模組,建構一多功能電力品質無線遠端監測系統。其中雙核心架構能夠 將電力訊號即時分析與運算,並將大量的資料儲存於 SD 卡中。而 GPRS 除了能發送事件簡訊外,更能 將資料傳輸到後端監測中心之資料庫。最後藉由網路用戶/伺服平台,將現場端最新的資料顯示於網頁 上。所獲得的重要成果如下:

(1) 電力品質量測法方面: 模擬結果顯示 LabVIEW 圖控式語言撰寫的整合式電壓變動與閃爍演算法,

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555-560.

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493-500.

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[27] M. Gargoom, N. Ertugrul, and W. L. Soong, “Investigation of Effective Automatic Recognition Systems of Power-Quality Events,” IEEE Transactions on Power Delivery, Vol. 22, Issue 4, Oct. 2007, pp.

2319-2326.

[28] 謝承道,黃世杰,郭建志,李豐裕,“整合近似熵與 Lempel-Ziv 演算法於電力品質訊號之鑑別,”

第 28 屆電力研討會,A07.1,2007 年 12 月 7-8 日,pp. A07.1-1~5。

[29] 魏忠必,洗鴻瑋,“應用小波轉換與可拓類神經網路於電力品質事故之辨識,”第 28 屆電力研討 會,D7.6,2007 年 12 月 7-8 日,pp. D7.6-1~5。

[30] D. Gallo, C. Landi, and N. Rignano, “DSP based Instrument for Real-Time PQ Analysis,” Proceedings of the IEEE International Symposium on Industrial Electronics, June 2007, pp.2481-2486

[31] Ma Xian-min and Sun Hong-ting, “The Research of Power Quality Real Time Monitor for Coal Power System Based on Wavelet Analysis and ARM Chip,”, Proceedings of the Power and Energy Engineering Conferenc, 2010, pp.1-4.

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[33] A. D. Femine, D. Gallo, C. Landi, and M. Luiso, “Low Cost Portable Measurement Equipment for Power Quality Indexes Monitoring,” Proceedings of the IEEE Conference on Instrumentation and Measurement Technology, May 2008, pp.2167-2172.

[34] D. Gallo, C. Landi, and N. Rignano, “Real-Time Digital Multifunction Instrument for Power Quality Integrated Indexes Measurement,” Proceedings of the IEEE Conference on Instrumentation and Measurement, April 2006, pp.2271-2276.

[35] V. Matz, T. Radil, P. Ramos, and A. C. Serra, “Automated Power Quality Monitoring System for On-line Detection and Classification of Disturbances,” Proceedings of the IEEE Conference on Instrumentation and Measurement Technology, May 2007, pp.1-6.

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[38] H. He and H. Zhang, “A New Power Quality Monitoring System Based on ARM and SOPC,”

Proceedings of the IEEE International Colloquium on Computing, Communication, Control, and Management, Vol. 2, Aug. 2008, pp. 24-27.

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Proceedings of the IEEE Conference on Transmission and Distribution, April 2010, pp. 1-6

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[60] TMS320LF2407A DSP Datasheet, Texas Instruments, Sep. 2007.

[61] 孫宗瀛,許益敏,林政緯,TIMSP430 混合信號微控器入門,全華科技圖書公司,2006 年 12 月。

七 七 七

七、 、 、附錄 、 附錄 附錄 附錄

本計劃已發表之論文如下:

1. M.T. Chen, C.W. Lu and C.M. Lin, "Implementation of a integrated algorithm for voltage variation and flicker measurements", Proceedings of IEEE Conference on Instrumentation and Measurement Technology Conference, 2010, p.p.1467-1471.

2. 陳明堂陳明堂陳明堂陳明堂,呂振文,韓琮竣,楊士儀,"以雙微處理器實現電力品質遠端即時監測系統",中華民國第三十一 屆電力工程研討會,99 年 12 月, pp. 1363-1367.

3. 韓琮竣,以雙微處理器實現電力品質遠端即時監控系統,國立高雄應用科技大學碩士論文,99年7 月。

4. 楊士儀,電力品質無線遠端監測系統之實現,國立高雄應用科技大學碩士論文,100年7月。

5. M.T. Chen, S.J. Hsiao, C.W. Lu, C.M. Lin, and C.J. Han, “Implementation of a Internet-based Power Quality Monitoring System by Dual Microprocessors,” Proceedings of 2011 IEEE Symposium on Industrial Electronics and Applications (ISIEA2011), Sep. 2011, pp.497-501.

國科會

國科會補助計畫衍生研發成果推廣資料表

(英文)Implementation of a Real-Time Remote Power Quality Monitoring System by Dual Microprocessors

(英文)An integrated algorithm is proposed for the deterministic identification of voltage variation and flicker in this project; besides, a power quality monitoring system was built with low cost dual microprocessors (DSP and MSP430) and GPRS wireless communication module. The DSP process and analyze the signal, then the MSP430 arranges and stores the data from DSP and transfers to a data base server through GPRS Communication. By the developed system, the Staff can immediately realized power quality status;

besides, it can facilitate the development of power quality

1

Abstract—In this paper two low-cost microprocessors are employed to build up a internet-based instrument system for remote monitoring of power quality, the instrument system can collect various types of power quality disturbances in interactive or automatic mode. Besides, an SD data storage device is used to save raw data which can be also uploaded to a database server via internet, users can access the server by an ordinary browser to effectively realize the information of power quality conditions at a certain location. The built-up prototype of the system is tested in different ways, and the test results validate the performance and feasibility of the instrument system.

Keywords- power quality; digital signal processor; internet-based remote monitoring

I. INTRODUCTION

Recently the rapid development of high-tech industry makes a significant increase of power quality problem [1-4], and different standards have been proposed as a measure of power system quality [5-6]. Besides, various methods were developed to make the disturbances comply with the related limits [3], [7].

Because the severity of problem and the effectiveness of the solution must be identified by efficient instrumentation and measurement system; therefore, innovative schemes have been proposed [8-11].

For the instrumentation and measurement of power quality, the development of technology has been gradually changed from an isolated monitoring device at local point to integrated system with remote monitoring function [11]. Besides, the instrument system with high computing speed, small size, low-power consumption, and low cost is widely required, and the architecture with dual-core is becoming popular [12-15].

In this paper, a dual-microprocessor architecture is used to implement a instrument system for remote monitoring of power quality. One microprocessor is a digital signal processor which is applied to the measurement of different power quality indices; the other is used for data sorting, storing, and remote communications. The prototype of the developed system was tested, and the results validate the feasibility of the system.

II. SYSTEM CONSTRUCTION

The hardware and the software architectures of the instrument system are respectively shown in Figure 1 and Figure 2. Figure 1 shows the three major parts of the system.

The hardware and the software architectures of the instrument system are respectively shown in Figure 1 and Figure 2. Figure 1 shows the three major parts of the system.

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