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作 者:阳杰 孙伟卿 马美玲 YANG Jie;SUN Weiqing;MA Meiling(School of Mechanical Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China)
出 处:《电子科技》2024年第7期1-8,共8页Electronic Science and Technology
基 金:上海市青年科技英才扬帆计划(22YF1429500)。
摘 要:随着电网规模不断扩大,新型电力系统的运行特性愈加复杂,准确辨识电网存在的薄弱环节对提高系统的监测能力和保障系统的可靠运行具有重要的实际意义。文中基于随机矩阵理论提出了一种电网薄弱环节辨识策略。该策略利用电网运行中的实测数据构造随机矩阵,基于随机矩阵理论构建薄弱环节的判断指标,并设计了薄弱节点和薄弱支路的判断方法。该方法从数据相关性的角度进行分析,不需要考虑实际电网复杂的网络结构和运行机理,因此没有复杂的建模过程。为了验证该方法的可行性,通过IEEE 39节点系统搭建了算例仿真,并与传统方法进行了对比。结果表明,所提策略在辨识薄弱节点和支路上具有较好效果,且准确性相较于传统方法有所提升。With the continuous expansion of the scale of bulk power grid,the operating characteristics of new power system has become more and more complex.Accurately identifying the weak links in the power grid is of great practical significance for improving the monitoring ability of the system and ensuring its reliable operation.Therefore,an identification strategy of weak links for power grid is proposed based on random matrix theory.The strategy uses the measured data in power grid operation to construct a random matrix and uses the weak links judgment index based on the random matrix theory to design the judgment method of weak nodes and weak branches.This method is analyzed from the perspective of data correlation,without considering the complex network structure and operation mechanism of the actual power grid,so there is no complex modeling process.To verify the feasibility of the method,an example simulation is established through the IEEE 39 node system and compared with the traditional methods.The results show that the proposed identification strategy has a good effect on identifying weak nodes and branches,and the accuracy is improved compared with the traditional methods.
关 键 词:大电网 新型电力系统 实测数据 薄弱环节辨识 薄弱节点 薄弱支路 数据驱动 随机矩阵理论
分 类 号:TP391[自动化与计算机技术—计算机应用技术] TM71[自动化与计算机技术—计算机科学与技术]
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