冗余保護(hù)配置的變電站故障診斷方法研究
發(fā)布時(shí)間：2019-01-23 18:55
【摘要】：西北750kV聯(lián)網(wǎng)工程，是西北電網(wǎng)發(fā)展史上工程規(guī)模最大、電壓等級最高、線路最長和最為復(fù)雜的一項(xiàng)超高壓輸變電工程，是西北地區(qū)的水火風(fēng)電外送的大通道。750kV變電站作為750kV電網(wǎng)的樞紐，其包含750kV、330kV和66kV三個(gè)電壓等級，保護(hù)采用雙重化配置，這使得750kV變電站的網(wǎng)絡(luò)拓?fù)浣Y(jié)構(gòu)更加復(fù)雜，保護(hù)配置增多。當(dāng)變電站發(fā)生故障時(shí)，故障信息量增多，且更復(fù)雜，需運(yùn)行人員能夠快速準(zhǔn)確地判斷出故障，并對其進(jìn)行故障定位和恢復(fù)。因此，研究變電站故障診斷系統(tǒng)，對于保證電網(wǎng)安全穩(wěn)定運(yùn)行具有重要的意義。 本文以750kV變電站為研究對象，針對保護(hù)裝置及斷路器存在誤動和拒動等不確定性，以及傳統(tǒng)故障診斷中診斷信息源不全面和異常時(shí)報(bào)警信息量龐大等特點(diǎn)，采用FPN(Fuzzy Petri Net,模糊Petri網(wǎng))、RS(Rough Sets,粗糙集)和信息融合的三種診斷方法對其進(jìn)行了研究，并通過仿真驗(yàn)證了該方法的有效性。 首先針對保護(hù)裝置及斷路器存在誤動和拒動等不確定性情況，以及750kV變電站的雙網(wǎng)雙重保護(hù)配置特性，提出具有冗余保護(hù)配置的變電站FPN故障診斷方法。在該方法中利用雙重保護(hù)裝置的信息，研究了元件診斷模型的冗余知識表示方法，建立了故障元件的FPN冗余診斷模型，根據(jù)750kV變電站的雙網(wǎng)特性，將冗余診斷模型分為主網(wǎng)和冗余網(wǎng)兩個(gè)子網(wǎng)模型。在模型中采用聯(lián)合信息熵確定了初始信息的可信度，通過模糊推理獲得最小故障診斷結(jié)果集。仿真結(jié)果表明該方法的有效性。 其次針對750kV變電站線路的復(fù)雜性、雙重化保護(hù)配置、以及異常時(shí)報(bào)警信息量龐大和傳統(tǒng)故障診斷中診斷信息源不全面等特點(diǎn)，提出了基于RS的冗余保護(hù)配置的分層變電站故障診斷方法。在該方法中根據(jù)750kV變電站的電壓等級特性，將750kV變電站劃分為3個(gè)區(qū)域，根據(jù)每個(gè)區(qū)域的接線特點(diǎn)，進(jìn)行分區(qū)處理。之后，利用故障錄波信息和已有的故障信息，基于粗糙集的知識獲取方法，構(gòu)建診斷決策表，通過簡化決策表，獲得最小屬性約簡表。在此基礎(chǔ)上建立比較序列與參考序列，采用灰關(guān)聯(lián)分析確定約簡表中屬性的灰關(guān)聯(lián)度和決策屬性中可疑故障元件的關(guān)聯(lián)可信度，獲得明確的診斷結(jié)果。仿真結(jié)果表明該方法精度更高、有效性更好。 最后利用融合互補(bǔ)的思想，，引入DS信息融合技術(shù)，建立DS證據(jù)理論的融合診斷模型，將FPN和RS兩種診斷方法獲得的診斷結(jié)果在DS證據(jù)理論決策級進(jìn)行融合，通過DS決策規(guī)則，獲得精確的診斷結(jié)果。仿真結(jié)果表明該方法的精確性和準(zhǔn)確性。
[Abstract]:The Northwest 750kV interconnection project is an ultra-high voltage transmission and transformation project with the largest scale, the highest voltage grade, the longest line and the most complex transmission and transformation in the history of Northwest Power Grid. The 750kV substation, as the hub of the 750kV power network, consists of three voltage levels of 750 kV or 330 kV and 66kV. The protection adopts a dual configuration, which makes the network topology of the 750kV substation more complex. Protection configuration increased. When substation fault occurs, the amount of fault information increases and the fault information is more complex. The operator should be able to judge the fault quickly and accurately, and to locate and recover the fault. Therefore, the study of substation fault diagnosis system is of great significance to ensure the safe and stable operation of power network. In this paper, 750kV substation is taken as the research object. Aiming at the uncertainty of maloperation and rejection of protective devices and circuit breakers, as well as the characteristics of incomplete diagnostic information source in traditional fault diagnosis and large amount of alarm information when abnormal, FPN (Fuzzy Petri Net, is adopted in this paper. Fuzzy Petri net), RS (Rough Sets, rough set) and three diagnostic methods of information fusion are studied, and the effectiveness of the method is verified by simulation. Firstly, aiming at the uncertainty of maloperation and rejection of protection device and circuit breaker, and the dual-network dual protection configuration of 750kV substation, a fault diagnosis method for substation FPN with redundant protection configuration is proposed. In this method, the redundant knowledge representation method of the component diagnosis model is studied, and the FPN redundancy diagnosis model of the fault element is established. According to the characteristics of the double network of the 750kV substation, the method uses the information of the dual protection device to study the redundant knowledge representation method of the component diagnosis model. The redundancy diagnosis model is divided into two subnet models: main network and redundant network. In the model, the reliability of initial information is determined by joint information entropy, and the minimum fault diagnosis result set is obtained by fuzzy reasoning. Simulation results show the effectiveness of the method. Secondly, aiming at the complexity of 750kV substation line, the double protection configuration, the huge amount of alarm information when abnormal and the incomplete diagnosis information source in traditional fault diagnosis, etc. A fault diagnosis method for hierarchical substation based on RS redundancy protection configuration is proposed. In this method, according to the voltage grade characteristics of 750kV substation, the 750kV substation is divided into three regions. According to the connection characteristics of each area, the 750kV substation is partitioned. Then, using fault recording information and existing fault information, a diagnosis decision table is constructed based on rough set knowledge acquisition method, and the minimum attribute reduction table is obtained by simplifying the decision table. On this basis, the comparison sequence and the reference sequence are established, and the grey correlation degree of attributes in the reduction table and the correlation reliability of suspicious fault elements in the decision attribute are determined by grey correlation analysis, and the definite diagnosis results are obtained. Simulation results show that the method is more accurate and effective. Finally, using the idea of fusion and complementation and introducing DS information fusion technology, the fusion diagnosis model of DS evidence theory is established. The diagnostic results obtained by FPN and RS are fused at the DS evidence theory decision level, and the DS decision rules are adopted. Obtain accurate diagnostic results. Simulation results show that the method is accurate and accurate.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM63
本文編號：2414103
[Abstract]:The Northwest 750kV interconnection project is an ultra-high voltage transmission and transformation project with the largest scale, the highest voltage grade, the longest line and the most complex transmission and transformation in the history of Northwest Power Grid. The 750kV substation, as the hub of the 750kV power network, consists of three voltage levels of 750 kV or 330 kV and 66kV. The protection adopts a dual configuration, which makes the network topology of the 750kV substation more complex. Protection configuration increased. When substation fault occurs, the amount of fault information increases and the fault information is more complex. The operator should be able to judge the fault quickly and accurately, and to locate and recover the fault. Therefore, the study of substation fault diagnosis system is of great significance to ensure the safe and stable operation of power network. In this paper, 750kV substation is taken as the research object. Aiming at the uncertainty of maloperation and rejection of protective devices and circuit breakers, as well as the characteristics of incomplete diagnostic information source in traditional fault diagnosis and large amount of alarm information when abnormal, FPN (Fuzzy Petri Net, is adopted in this paper. Fuzzy Petri net), RS (Rough Sets, rough set) and three diagnostic methods of information fusion are studied, and the effectiveness of the method is verified by simulation. Firstly, aiming at the uncertainty of maloperation and rejection of protection device and circuit breaker, and the dual-network dual protection configuration of 750kV substation, a fault diagnosis method for substation FPN with redundant protection configuration is proposed. In this method, the redundant knowledge representation method of the component diagnosis model is studied, and the FPN redundancy diagnosis model of the fault element is established. According to the characteristics of the double network of the 750kV substation, the method uses the information of the dual protection device to study the redundant knowledge representation method of the component diagnosis model. The redundancy diagnosis model is divided into two subnet models: main network and redundant network. In the model, the reliability of initial information is determined by joint information entropy, and the minimum fault diagnosis result set is obtained by fuzzy reasoning. Simulation results show the effectiveness of the method. Secondly, aiming at the complexity of 750kV substation line, the double protection configuration, the huge amount of alarm information when abnormal and the incomplete diagnosis information source in traditional fault diagnosis, etc. A fault diagnosis method for hierarchical substation based on RS redundancy protection configuration is proposed. In this method, according to the voltage grade characteristics of 750kV substation, the 750kV substation is divided into three regions. According to the connection characteristics of each area, the 750kV substation is partitioned. Then, using fault recording information and existing fault information, a diagnosis decision table is constructed based on rough set knowledge acquisition method, and the minimum attribute reduction table is obtained by simplifying the decision table. On this basis, the comparison sequence and the reference sequence are established, and the grey correlation degree of attributes in the reduction table and the correlation reliability of suspicious fault elements in the decision attribute are determined by grey correlation analysis, and the definite diagnosis results are obtained. Simulation results show that the method is more accurate and effective. Finally, using the idea of fusion and complementation and introducing DS information fusion technology, the fusion diagnosis model of DS evidence theory is established. The diagnostic results obtained by FPN and RS are fused at the DS evidence theory decision level, and the DS decision rules are adopted. Obtain accurate diagnostic results. Simulation results show that the method is accurate and accurate.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM63
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