Analysis of State Estimation Accuracy in Distribution Networks Using Pseudo- Measurement Selection and Real Measurement Incorporation

被引:0
作者
Barancsuk, Lilla [1 ]
Hartmann, Balint [1 ]
机构
[1] Budapest Univ Technol & Econ, Dept Elect Power Engn, Muegypt Rkp 3, H-1111 Budapest, Hungary
关键词
distribution system state estimation; pseudo-measurement; smart meter; OPTIMIZATION; PROFILES; IMPACT;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, we investigate computationally efficient methodologies for generating pseudo-measurements with the aim of selecting the set of pseudo-measurements that can achieve maximum state estimation accuracy for a given network. We analyze the impact of various information sources for residential and demand-response load pseudo- measurements. Additionally, we examine three meteorological approaches to approximate photovoltaic output. By preforming numerical experiments across four real Hungarian low- voltage supply areas, we present the scenarios that yield the maximum state estimation accuracy for each load, which can be conveniently incorporated into any industrial application.
引用
收藏
页码:115 / 134
页数:20
相关论文
共 50 条
[41]   Real-Time Topology Detection and State Estimation in Distribution Systems Using Micro-PMU and Smart Meter Data [J].
Soltani, Zahra ;
Khorsand, Mojdeh .
IEEE SYSTEMS JOURNAL, 2022, 16 (03) :3554-3565
[42]   Enhancement of Distribution System State Estimation Using Pruned Physics-Aware Neural Networks [J].
Minh-Quan Tran ;
Zamzam, Ahmed S. ;
Nguyen, Phuong H. .
2021 IEEE MADRID POWERTECH, 2021,
[43]   FRF-based structural parameters estimation using strain data: sensitivity equation, measurement and excitation selection [J].
Beyhaqi, Ahmad ;
Esfandiari, Akbar .
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2018, 26 (07) :942-965
[44]   Scalable Distribution Systems State Estimation Using Long Short-Term Memory Networks as Surrogates [J].
Cao, Zhiyuan ;
Wang, Yubo ;
Chu, Chi-Cheng ;
Gadh, Rajit .
IEEE ACCESS, 2020, 8 (23359-23368) :23359-23368
[45]   Disaggregation Estimation Method for Load and PV Output in the Distribution System using State Estimation and Independent Component Analysis [J].
Akasaka, Riku ;
Hara, Ryoichi ;
Kita, Hiroyuki ;
Sugimura, Shuhei ;
Kurihara, Toshiharu .
IEEJ Transactions on Power and Energy, 2024, 144 (08) :430-439
[46]   Real-time State Estimation Method for Distribution Networks Based on Spatial-temporal Feature Graph Convolution Network [J].
Chen Y. ;
Wang Y. ;
Yang Q. .
Gaodianya Jishu/High Voltage Engineering, 2021, 47 (07) :2386-2395
[47]   Measurement errors and estimation biases with incomplete social networks: replication studies on intra-firm inventor network analysis [J].
Goossen, Martin C. ;
Paruchuri, Srikanth .
RESEARCH POLICY, 2022, 51 (01)
[48]   Metamodel for nodal pressure estimation at near real-time in water distribution systems using artificial neural networks [J].
Lima, Gustavo Meirelles ;
Brentan, Bruno Melo ;
Manzi, Daniel ;
Luvizotto, Edevar, Jr. .
JOURNAL OF HYDROINFORMATICS, 2018, 20 (02) :486-496
[49]   Optimizing the effect of battery relaxation on electrochemical impedance spectroscopy measurement for real-time SOC estimation using transfer learning [J].
Li, Yichun ;
Maleki, Mina ;
Banitaan, Shadi ;
Hu, Panpan ;
Chen, Yihong ;
Liu, Rongli .
JOURNAL OF POWER SOURCES, 2025, 654
[50]   Estimation of start and stop numbers for cluster resolution feature selection algorithm: an empirical approach using null distribution analysis of Fisher ratios [J].
Adutwum, Lawrence A. ;
de la Mata, A. Paulina ;
Bean, Heather D. ;
Hill, Jane E. ;
Harynuk, James J. .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2017, 409 (28) :6699-6708