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作 者:张小寒 路宏亮 ZHANG Xiaohan;LU Hongliang
机构地区:[1]国网河北省电力有限公司涞水县供电分公司,河北保定074103 [2]国网河北省电力有限公司邢台市任泽区供电分公司,河北邢台055150
出 处:《今日自动化》2024年第9期155-157,共3页Automation Today
摘 要:电力系统的监控和管理需求,尤其是在实时数据处理和决策支持方面,随着电网规模的扩展和智能化水平的提升而不断增加。面对传统电网监控系统计算效率低下和难以适应大规模电网快速计算的问题,提出一种基于QT框架与潮流计算算法优化的电网监控系统。系统测试显示,QT–潮流计算算法在不同分布式电源容量变化下,能有效维持较高的电压稳定性和系统稳定,在增加分布式发电量后,节点电压幅值由1.00增至1.04,显示出高稳定性。研究表明,该系统能有效提高电网运行效率和可靠性,优化了数据处理和用户交互体验,对电力系统的稳定性和经济性保障具有重要意义。通过改进潮流计算算法,提升计算速度与准确性,满足了大规模电网的实时监控需求。The monitoring and management requirements of power systems,especially in real-time data processing and decision support,are increasing with the expansion of the scale of power grids and the improvement of intelligence level.Faced with the problem of low computing efficiency of traditional power grid monitoring system and difficult to adapt to large-scale power grid fast computing,a power grid monitoring system based on QT framework and power flow algorithm is proposed.System tests show that the QT-Power flow calculation algorithm can effectively maintain high voltage stability and system stability under different distributed power supply capacity changes,and the node voltage amplitude increases from 1.00 to 1.04 after increasing distributed power generation,showing high stability.The system stability success rate has also increased from 98%to 99.8%.The research shows that the system can effectively improve the operation efficiency and reliability of the power grid,optimize the data processing and user interaction experience,and has important significance for the stability and economic protection of the power system.By improving the Power flow calculation algorithm,the calculation speed and accuracy are improved,and the real-time monitoring requirements of large-scale power grids are met.
分 类 号:TM76[电气工程—电力系统及自动化]
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