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基于证据融合算法的高压断路器保护控制系统设计

High Voltage Circuit Breaker Protection Control System Based on Evidence Fusion Algorithm
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摘要 为了提高高压断路器在复杂环境中的可靠性和稳定性,研究提出了一种基于证据融合算法(Dempster-Shafer,D-S)的高压断路器保护控制系统设计方法。该系统利用D-S理论对不同证据源之间的冲突与不确定性进行融合,以驱动保护控制系统做出准确响应。并采用反向传播(Back Propagation,BP)神经网络对传统D-S证据融合算法进行优化。结果表明,在LA25-NP传感器和KS107传感器中,优化后算法故障诊断准确性的提升幅度均超过14%。在实际应用中控制系统的行程偏差仅为0.42%。并且面对故障情景时,系统能够迅速识别并进行保护控制。综上所述,基于D-S证据融合的高压断路器保护控制系统具有较高的故障诊断准确性和较强的抗干扰能力,能够有效提高高压断路器的保护性能。 In order to improve the reliability and stability of high-voltage circuit breakers in complex environments,a design method for high-voltage circuit breaker protection control system based on evidence fusion algorithm(Dempster Shafer)is proposed.This system utilizes the D-S theory to fuse conflicts and uncertainties between different evidence sources,in order to drive the protection control system to make accurate responses.And use backpropagation(BP)neural network to optimize the traditional D-S evidence fusion algorithm.The results showed that the optimized algorithm improved the accuracy of fault diagnosis by over 14%in both LA25-NP sensor and KS107 sensor.In practical applications,the travel deviation of the control system is only 0.42%.And when faced with a fault scenario,the system can quickly identify and implement protective control.In summary,the high-voltage circuit breaker protection control system based on D-S evidence fusion has high fault diagnosis accuracy and strong anti-interference ability,which can effectively improve the protection performance of high-voltage circuit breakers.
作者 尹相国 罗小波 张熀松 祁鹍 YIN Xiangguo;LUO Xiaobo;ZHANG Huangsong;Qi Kun(State Grid Ningxia Electric power Co.,Ltd.Ultrahigh Voltage S ubsidiary company,Yinchuan 750011,China;Nanjing Xieao intelligent control System Co.,Ltd.,Nanjing 211800,China)
出处 《自动化与仪器仪表》 2025年第7期253-258,共6页 Automation & Instrumentation
基金 宁夏电力有限公司科技项目《面向高压断路器多参量融合的智能感知与控制技术研究及应用》(5229CG 230007)。
关键词 高压断路器保护 D-S证据理论 故障诊断 智能控制 多源信息融合 high voltage circuit breaker protection D-S evidence theory fault diagnosis intelligent control multi-source in-formation fusion
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