本文關(guān)鍵詞：煤礦高壓電網(wǎng)防越級跳閘系統(tǒng)研究　出處：《中國礦業(yè)大學》2016年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 煤礦電網(wǎng) 防越級 短路 漏電 BP改進

【摘要】：煤礦供電系統(tǒng)的安全可靠不僅影響著煤礦生產(chǎn)的效益,還間接影響著煤礦員工的生命安全。受各種因素影響,我國煤礦高壓供電系統(tǒng)在實際運行過程中經(jīng)常會出現(xiàn)因下級變電所饋線故障導致上級變電所開關(guān)跳閘從而擴大了井下停電范圍的現(xiàn)象,即所謂的“越級跳閘”。統(tǒng)計數(shù)據(jù)表明,大多數(shù)越級跳閘是由短路與漏電故障引起。研究越級跳閘發(fā)生的原因并采取相應的措施避免其發(fā)生,對提高生產(chǎn)效率與減少人員傷亡有著非常重要的意義。首先根據(jù)煤礦電網(wǎng)的特點分析了短路與漏電故障后電流分布特點,依據(jù)目前的保護配置理論研究了兩種越級跳閘發(fā)生的真正原因并分析其差異。根據(jù)兩種越級跳閘的相似性,提出了基于布爾代數(shù)邏輯算法的防越級跳閘主保護方案。為了盡可能快的切除故障,將高壓開關(guān)分為三類,為每一類開關(guān)配置了相應的邏輯判斷表達式,并以具體故障為例闡述了防越級跳閘主保護的原理。為了保證防越級跳閘系統(tǒng)的可靠性,同時為了解決在越級跳閘發(fā)生后因長時間找不出故障點導致系統(tǒng)遲遲無法恢復供電的問題,在防越級跳閘主保護的基礎(chǔ)上,為短路與漏電分別配置了基于感知神經(jīng)網(wǎng)絡與BP神經(jīng)網(wǎng)絡的防越級跳閘后備保護方案。針對BP神經(jīng)網(wǎng)絡算法收斂速度慢、易陷入局部極小值、結(jié)構(gòu)不確定的缺陷,進行了改進。選用故障后易于識別的故障特征值,通過理論分析、simulink模型搭建與仿真,驗證了改進算法的優(yōu)勢。分別以STM32F417微處理器、和利時LM3108G型PLC、工控機為核心設(shè)計了煤礦高壓智能綜合保護裝置、邏輯判斷防越級主保護裝置與集控防越級主機,在防越級跳閘方法的基礎(chǔ)上設(shè)計了程序流程圖,對防越級跳閘系統(tǒng)的關(guān)鍵技術(shù)進行了研究。
[Abstract]:The safety and reliability of coal mine power supply system not only affects the efficiency of coal mine production, but also indirectly affects the safety of coal mine employees. In the actual operation of high voltage power supply system of coal mine in our country, the phenomenon of switch tripping of higher substation caused by feeder line fault of subordinate substation often occurs, which expands the scope of underground power failure. The statistical data show that most of the tripping is caused by short circuit and leakage fault. The cause of overstep tripping is studied and the corresponding measures are taken to avoid it. It is very important to improve production efficiency and reduce casualties. Firstly, according to the characteristics of coal mine power network, the characteristics of current distribution after short-circuit and leakage fault are analyzed. According to the current protection configuration theory, this paper studies the real causes of the two kinds of leapfrog tripping and analyzes their differences, according to the similarity of the two kinds of leapfrogging tripping. In order to remove the fault as quickly as possible, the high voltage switch is divided into three categories, and the corresponding logic judgment expression is configured for each type of switch. In order to ensure the reliability of the system, the principle of the main protection against leapfrogging tripping is expounded with the example of specific faults. At the same time, in order to solve the problem that the system is unable to restore power supply due to long time failure point after the over-grade tripping occurs, it is based on the main protection against overstep tripping. The back-up protection scheme based on perceptual neural network and BP neural network is configured for short circuit and leakage respectively. The algorithm of BP neural network is easy to fall into local minimum because of its slow convergence speed. The defects of uncertain structure are improved. The fault eigenvalues which are easy to identify after failure are selected, and the Simulink model is built and simulated by theoretical analysis. The advantages of the improved algorithm are verified. The high voltage intelligent integrated protection device of coal mine is designed with the core of STM32F417 microprocessor, Hutchison LM3108G and industrial control computer. Based on the logic judgment of the main protection device and the centralized control anti-overstep host, the program flow chart is designed on the basis of the method of anti-leapfrog tripping, and the key technology of the anti-leapfrog tripping system is studied.
【學位授予單位】：中國礦業(yè)大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TD608;TM727.3

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本文編號：1359160