摘要
文章围绕配电物联网台区拓扑自动识别技术的有效性进行了深入研究,开发了一款测试平台,通过实验和理论分析,测试了多种拓扑识别算法在不同工况下的表现,并对比了各算法的优势和局限性。测试结果发现,分布式光伏接入、SVG无功补偿、充电桩接入等因素会对拓扑识别准确性产生影响;同时,随着拓扑结构的复杂化,识别所需时间增加,但现有算法仍能满足实际应用需求。此外,还探讨了基于“有功电流注入+频域检测”的技术路线,该技术在测试中表现出较高的准确率和良好的适应性。
This paper conducts an in-depth study on the effectiveness of automatic topology recognition technology for distribution iot stations,and develops a test platform.Through experimental and theoretical analysis,the performance of various topology recognition algorithms under different working conditions is tested,and the advantages and limitations of each algorithm are compared.The test results show that distributed photovoltaic access,SVG reactive power compensation,charging pile access and other factors will affect the accuracy of topology recognition.At the same time,with the complexity of the topology,the recognition time is increased,but the existing algorithm can still meet the needs of practical applications.In addition,the technology route based on"active current injection+frequency domain detection"is also discussed,which shows high accuracy and good adaptability in the test.
出处
《电力系统装备》
2024年第8期40-41,113,共3页
Electric Power System Equipment
关键词
配电物联网
台区拓扑自动辨识
智能电网
拓扑识别算法
power distribution internet of things
platform area topology automatic identification
smart grid
topology identification algorithm
