| 引用本文: | 马建,窦晓波,陈克绪,焦阳,葛浦东.基于卡尔曼滤波算法的网络信息观测器设计[J].电力自动化设备,2019,39(10): |
| MA Jian,DOU Xiaobo,CHEN Kexu,JIAO Yang,GE Pudong.Design of network information observer based on Kalman filtering algorithm[J].Electric Power Automation Equipment,2019,39(10): |
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| 摘要: |
| 传统电力系统大多采用统一的控制和管理，对量测设备和通信设施依赖性强。一旦发生通信延时、丢包等故障，会影响系统状态监测和系统控制。因此，针对分布式电源接入的配电网系统，提出了一种基于卡尔曼滤波算法的无通信网络信息观测器，其可以实现对系统节点电压和分布式电源本地信息无通信信息观测。仿真分析结果验证了所提观测器的有效性。 |
| 关键词: 电力系统 通信 监测 卡尔曼滤波 信息量测 网络信息观测器 |
| DOI：10.16081/j.epae.201909037 |
| 分类号:TM761 |
| 基金项目:国家自然科学基金资助项目(51777031)；国网江西省电力有限公司科技项目(52182016001B) |
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| Design of network information observer based on Kalman filtering algorithm |
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MA Jian1, DOU Xiaobo2, CHEN Kexu1, JIAO Yang2, GE Pudong2
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1.State Grid Jiangxi Electric Power Research Institute, Nanchang 330096, China;2.School of Electrical Engineering, Southeast University, Nanjing 210096, China
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| Abstract: |
| The traditional power system mostly adopts unified control and management, and has a strong dependence on measurement equipment and communication facilities. Once communication delay, packet loss and other failures occur, the system status monitoring and system control will be affected. Therefore, a non-communication network information observer based on Kalman filtering algorithm for distributed generation connected power system is proposed, which can realize the observation of system node voltage and distributed generation local information without communication information. The effectiveness of the proposed observer is verified by the results of simulation analysis. |
| Key words: electric power systems communication monitoring Kalman filtering information measurement network information observer |
