本文選題：配電網 + 故障定位　； 參考：《湖南工業(yè)大學》2015年碩士論文

【摘要】：配電網故障定位是配電網研究的重點之一,其準確性、定位速度關乎著人民的生產生活,也是供電企業(yè)最為看重的指標之一。本文根據配電網現有的自動化程度,將其劃分為配電自動化改造完全的網絡和配電自動化改造未完全的網絡,并針對這兩種配電網絡的主要故障信息來源的不同分別深入研究,采取合適的方法來完成配電網的故障定位。對于自動化改造完全的配電網絡,考慮到在分段開關處裝設有配電終端設備(FTU、RTU),能實時采集傳輸電量信息,本文采用了一種新的智能算法——擬態(tài)物理學算法來對其進行故障定位研究。由于配電網發(fā)生故障后通過分段開關的電流會產生較大變化,且可以通過終端設備進行實時檢測,因此本文采用提取上述電流信息的策略,將配電網的故障定位抽象成為一個二進制尋優(yōu)的過程;利用混沌映射和反向初始化改進擬態(tài)物理學算法,并運用改進后算法對配電網進行故障定位。從仿真的結果可知,改進的擬態(tài)物理學算法在尋優(yōu)能力以及收斂精度等方面都得到了一定的改善,將其運用到配電網的故障定位上,具有較好的容錯性和準確性。對于自動化改造程度不高的配電網絡,考慮到分段開關處部分裝設有重合閘動作告警信息和故障指示器信息,同時故障后營銷95598系統會接受到停電用戶的報修電話,因此本文對如何融合多源信息進行配電網故障定位展開研究。主要采用粗糙集理論融合報修信息以及開關告警信息形成決策表,并對其約簡冗余以減小存儲空間,最終實現配電網故障的快速定位。此外,針對定位至臺區(qū)后營銷系統裝設有智能電表的情況,采取召測智能電表電壓的方案,對臺區(qū)的故障進一步地精細化定位。仿真案例表明,提出的的故障定位方案能掃除現有自動化程度不高的配電網的故障定位信息盲區(qū),提高定位準確率,且智能電表的召測能進一步將故障區(qū)段精確到樓棟甚至用戶。最后,本文采用MATLAB/GUI設計了一款模擬故障定位軟件,旨在利用和集成上述定位方案,為相關人員熟悉故障診斷提供更好的借鑒。
[Abstract]:Distribution network fault location is one of the key points in distribution network research. Its accuracy and location speed are related to the production and life of the people, and it is also one of the most important indicators of power supply enterprises. According to the existing automation degree of distribution network, this paper divides the distribution network into complete network of distribution automation transformation and incomplete network of distribution automation transformation, and studies the difference of main fault information sources of these two kinds of distribution network in depth. Adopt appropriate method to complete fault location of distribution network. For the automatic transformation of the complete distribution network, considering that the distribution terminal equipment is installed at the segmented switch, the FTU / RTUU can collect and transmit the electric quantity information in real time. In this paper, a new intelligent algorithm, pseudo physics algorithm, is used to study the fault location. Because the current through the segment switch will change greatly after the fault of the distribution network, and can be detected in real time by the terminal equipment, the strategy of extracting the above current information is adopted in this paper. The fault location of distribution network is abstracted as a binary optimization process, and the improved pseudo-physical algorithm is improved by chaotic mapping and reverse initialization, and the fault location of distribution network is carried out by using the improved algorithm. From the simulation results, we can see that the improved pseudo-physical algorithm has been improved in the aspects of optimization ability and convergence accuracy, and its application to fault location of distribution network has good fault tolerance and accuracy. For the distribution network with low degree of automation, considering that there are reclosure action alarm information and fault indicator information in the section switch, after the failure, the marketing 95598 system will receive the repair telephone from the blackout user. Therefore, how to fuse multi-source information for fault location of distribution network is studied in this paper. The rough set theory is used to combine the repair information and the switch alarm information to form the decision table, and to reduce the redundancy to reduce the storage space, and finally to realize the fast location of the distribution network fault. In addition, in view of the situation that intelligent ammeter is installed in the marketing system after locating to the station area, the scheme of calling intelligent meter voltage is adopted to further refine the fault location of the station area. Simulation cases show that the proposed fault location scheme can eliminate the blind area of fault location information in distribution network with low degree of automation, and improve the accuracy of location. And intelligent meter call can further accurate fault section to buildings and even users. Finally, this paper designs a simulated fault location software using MATLAB/GUI, which aims to use and integrate the above positioning scheme, and provide a better reference for the related personnel familiar with fault diagnosis.
【學位授予單位】：湖南工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TM727

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本文編號：1896113