特高壓變電設(shè)備狀態(tài)監(jiān)測預(yù)警平臺的設(shè)計與實現(xiàn)
發(fā)布時間:2018-03-26 20:43
本文選題:特高壓 切入點:變電設(shè)備 出處:《華北電力大學(xué)》2017年碩士論文
【摘要】:變電設(shè)備在特高壓工程中處于關(guān)鍵地位,其可靠運行決定著整個特高壓系統(tǒng)的安全和穩(wěn)定。隨著特高壓工程的大規(guī)模建設(shè),以及對供電可靠性、安全性、經(jīng)濟性等的要求越來越高,對變電設(shè)備的運行狀態(tài)進行監(jiān)測有很強的必要性。實時的監(jiān)測能夠?qū)ψ冸娫O(shè)備的故障進行準確的分析和診斷,及時進行維護,確保其正常運行。預(yù)警平臺有助于實現(xiàn)特高壓變電設(shè)備穩(wěn)定運行及狀態(tài)信息的共享和及時、有效利用,完善特高壓變電設(shè)備狀態(tài)評估技術(shù)。依據(jù)國家電網(wǎng)發(fā)布的一些通知和準則,本文依據(jù)實際情況詳細分析了國網(wǎng)推薦的SOA架構(gòu)模型、SG-UAP平臺和相關(guān)標準并采用了它們,它們能夠滿足預(yù)警平臺的需求,在構(gòu)建系統(tǒng)時便捷高效;同時在可視化技術(shù)展現(xiàn)方面,采用了來自百度商業(yè)前端數(shù)據(jù)可視化團隊的Echarts,它賦予了用戶對數(shù)據(jù)進行挖掘、整合的能力。其次,在標準接口接入變電設(shè)備數(shù)據(jù)的基礎(chǔ)上,基于小波奇異度和故障度、D-S證據(jù)理論實現(xiàn)了一種可擴展的狀態(tài)評價模型;之后,對預(yù)警平臺進行了詳細的架構(gòu)設(shè)計,從技術(shù)總體架構(gòu)、數(shù)據(jù)架構(gòu)、服務(wù)架構(gòu)、安全方案四個方面整合系統(tǒng),在服務(wù)及其后臺數(shù)據(jù)庫之間采用1:1的關(guān)系。最后,對預(yù)警平臺進行了架構(gòu)和各功能模塊的實現(xiàn),同時保證了系統(tǒng)的負載均衡和高可用性,為特高壓變電設(shè)備狀態(tài)監(jiān)測提供決策支持,提高設(shè)備的安全性和利用率。
[Abstract]:Substation equipment plays a key role in UHV engineering, and its reliable operation determines the safety and stability of the whole UHV system. With the large-scale construction of UHV project, the reliability and safety of UHV power supply, The requirement of economy is more and more high, so it is necessary to monitor the operating state of substation equipment. The real-time monitoring can accurately analyze and diagnose the fault of substation equipment, and maintain it in time. To ensure its normal operation. The early warning platform is helpful to realize the stable operation of UHV substation equipment and the sharing, timely and effective utilization of the status information. According to some notices and guidelines issued by State Grid, this paper analyzes the SOA architecture model recommended by China Power Network and its related standards in detail according to the actual situation, and adopts them. They can meet the needs of the early warning platform and are convenient and efficient in building the system. At the same time, in the visualization technology, the Echartsfrom Baidu commercial front-end data visualization team is adopted, which gives users the ability to mine the data. Secondly, based on the standard interface access to substation equipment data, based on wavelet singularity and fault degree D-S evidence theory to implement an extensible state evaluation model. The early warning platform is designed in detail, which integrates the system from four aspects: the overall technical architecture, the data architecture, the service architecture and the security scheme, and adopts the 1:1 relationship between the service and its backstage database. The structure and function modules of the early warning platform are implemented, and the load balance and high availability of the system are guaranteed, which provides decision support for the condition monitoring of UHV substation equipment, and improves the security and utilization ratio of the equipment.
【學(xué)位授予單位】:華北電力大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TP277;TM507
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