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基于多维度协同优化的发电机控制系统研究与应用
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(1. 国家石油天然气管网集团有限公司甘肃分公司,甘肃 兰州 730070;2. 四川泛茂科技股份有限公司,四川 成都 611731)

作者简介:

李魏巍,男,1991年生,中级工程师,研究方向为油气储运。 通信作者:杨军奇,男,1997年生,硕士研究生,研究方向为电气工程及其自动化,E-mail:3510945819@qq.com。

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Research and Application of Generator Control System Based on Multi-Dimensional Collaborative Optimization
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(1. Gansu Branch,China Oil & Gas Pipeline Network Corporation,Lanzhou,Gansu 730070,China;2. Sichuan Fanmao Technology Co.,Ltd.,Chengdu,Sichuan 611731,China)

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    摘要:

    为解决西气东输压气站场燃气发电机自动控制逻辑缺陷、并机功率分配不均以及远程监控功能缺失的问题,提出一种基于多维度协同优化的燃气发电机控制系统。该系统通过优化自动转换开关( ATS)控制逻辑、设计五级群控启机流程、引入 PID参数动态试凑法实现负荷分级的多机协同控制策略,提高控制系统抗扰动能力及多机协同功率分配控制精度;同时,构建监控与数据采集( SCADA)远程监控系统,上传 26项核心参数,以实现智能化运维。试验结果表明,市电失电后系统恢复供电总耗时缩短至 86 s;改造后,并机系统平均出功不平衡率降至 3.49%,最大逆功率控制在发电机额定功率的 3.08%以内,且两台发电机输出功率呈强负相关性( r=-0.86); SCADA监控系统远程操控与数据上传成功率均为 100%。该成果为发电机控制系统技术改造提供了一种可行的技术路径和量化评估依据。

    Abstract:

    To address the issues of automatic control logic defects,uneven parallel power distribution,and the lack of remote monitoring capabilities in gas generators at compressor stations of the west-to-east gas pipeline project,a gas generator controlsystem based on multidimensional collaborative optimization is proposed. This system enhances the anti-disturbance capabilityand precision of collaborative power distribution control among multiple generators by optimizing the control logic of theAutomatic Transfer Switch(ATS), designing a five-level group control startup process,and introducing a PID parameterdynamic tuning method to implement a multi-machine collaborative control strategybased onhierarchical load. Meanwhile,a Supervisory Control and Data Acquisition(SCADA)remote monitoring system is constructed to upload 26 core parameters, enabling intelligent operation and maintenance. The experimental results show that the total time required for the system torestore power supply after mains failure is shortened to 86 s. Following the modification,the average power imbalance rate of the parallel power distribution system is reduced to 3.49%,the maximum reverse power is controlled within 3.08% of the rated generator power,and the output powers of the two gas generators exhibit a strong negative correlation(r=-0.86). The success rates of remote operation and data upload in the SCADA monitoring system both reach 100%. This achievement provides afeasible technical approach and quantitative evaluation basis for the technological transformation of generator control systems.

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  • 在线发布日期: 2026-06-03
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