發(fā)布時間：2018-06-23 18:28

  本文選題：電力系統(tǒng) + 有色petri網��； 參考：《天津理工大學》2017年碩士論文

【摘要】：電網故障正確診斷對加快事故處理和恢復電力系統(tǒng)的安全經濟運行具有重要的意義。為減小電網故障搜索范圍,避免對電網內所有元件依次進行故障判斷,本文改進傳統(tǒng)一種方式以皮特律的算法結構進行識別,在檢測的部位結構中影響不同;有效地把故障診斷問題局限于一個或多個無源網絡中。首先,針對斷路器跳閘引起電網拓撲結構變化這一離散事件的動態(tài)過程,以petri網作為建模工具,對全部元件賦予顏色屬性并允許有向弧上有可變的權,構建用于電網故障區(qū)域搜索的有色petri網模型;然后以CPNTOOLS為開發(fā)環(huán)境,運用VB語言編程實現(xiàn)對故障區(qū)域的快速搜索。為減小電網故障診斷過程中人為主觀因素造成的誤差,提高petri網模型的容錯性和準確性,本文提出了基于改進動態(tài)自適應模糊petri網電網故障診斷方法。首先,在動態(tài)自適應模糊petri網中引入補充弧元組,電網有其次的模型構造在數(shù)目以及指標的演練中需要進一步的推理計算,并用BP算法進行構造。;最后,分析了該故障診斷方法的適應性與容錯性。通過對江蘇南平區(qū)的電網進行當?shù)亟Y果測量和驗證中得出了在petri網的改進算法中,克服了大電力系統(tǒng)的保護不正確的形式以及復雜結果方法,并且以各種的電網故障診斷的方法進行對傳統(tǒng)petri網的故障檢測方法不能實現(xiàn)的電網,得到了修正,診斷結果,具有良好的容錯性。
[Abstract]:The correct fault diagnosis of power network is of great significance for speeding up the handling of accidents and restoring the safe and economical operation of power system. In order to reduce the range of fault search and avoid the fault judgment of all the components in the power network, this paper improves the traditional algorithm structure of Pitt's law to identify the fault, which has different influence on the structure of the detected parts. Fault diagnosis is effectively confined to one or more passive networks. First of all, in view of the dynamic process of the discrete event of circuit breaker tripping, the petri net is used as the modeling tool to assign color attributes to all components and to allow variable weights on the directed arc. The colored petri net model for fault area search of power network is constructed, and then the rapid searching of fault area is realized by using VB language with CPNTOOLS as the development environment. In order to reduce the error caused by human subjective factors in the process of power network fault diagnosis and improve the fault tolerance and accuracy of petri net model, a fault diagnosis method based on improved dynamic adaptive fuzzy petri net is proposed in this paper. Firstly, the supplementary arc element is introduced into the dynamic adaptive fuzzy petri net. The second model of the power network needs further reasoning and calculation in the exercise of the number and the index. Finally, the BP algorithm is used to construct. The adaptability and fault tolerance of this fault diagnosis method are analyzed. By measuring and verifying the local results of the power network in Nanping District of Jiangsu Province, the improved algorithm of petri net is obtained, which overcomes the incorrect form of protection of large power system and the complex result method. The fault detection method of traditional petri net can not be realized by using various methods of power network fault diagnosis, which is corrected and diagnosed, and has good fault tolerance.
【學位授予單位】：天津理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP301.1;TM711

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本文編號：2058015