Parameter identification of electric power remote telemetering system based on real-time section data and error-preventing topology analysis
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Yingwei Zhu
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Xiang Ma
Abstract
In order to improve the security of power remote telemetry system, this paper studies the parameter identification method of power remote telemetry system based on real-time cross-section data and error-proof topology analysis. The method is based on a synchronization vector measurement unit. It uses the multi-source measurement method to fuse the real-time cross-section data of the power remote telemetry system, we reconstruct the fault-proof topology map of the power grid based on the fused real-time cross-section data. And according to the grid error prevention topology diagram, we set the grid line impedance parameters, calculate the sum and variance of voltage squares and so on. After the set parameters are established, the constraint conditions are divided, and the constraint conditions are transformed by linear function through quadratic programming. By judging whether the parameter identification function complies with its constraints, the parameter identification of the power remote telemetry system is realized. The experimental results show that this method can accurately obtain the real-time cross-section data of the power remote telemetry system. Moreover, it can accurately reconstruct the fault-proof topology of the power grid, and the maximum deviation of parameter identification is only 0.5223.
Funding source: Science and technology project of State Grid Zhejiang Electric Power Co., LTD. “Artificial Intelligent Dispatch and Accident Disposal Technology Based on Ubiquitous Internet of Things”
Award Identifier / Grant number: 5211JH1900M6
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: The study was supported by Science and Technology Project of State Grid Zhejiang Electric Power Co., LTD. “Artificial Intelligent Dispatch and Accident Disposal Technology Based on Ubiquitous Internet of Things” (NO. 5211JH1900M6).
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Conflict of interest statement: The authors declare that there are no conflicts of interest regarding the publication of this paper.
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Data availability: All datasets generated for this study are included within the article.
References
1. Zhou, XJ, Ma, LL. A new method of network topology error identification considering parameter and measurements errors. Power System Protection and Control 2019;47:128–35.Suche in Google Scholar
2. Guo, S, Wang, P, Luan, W, Yan, QI, Yao, J, SU, HZ. Robust method for power flow jacobian matrix estimation and topology identification of distribution network based on PMU. Proc CSU-EPSA 2018;30:68–76.Suche in Google Scholar
3. Chen, HC, Cai, JD. Identification of oil-paper insulation parameters based on the mathematical analysis. J Electr Power Sci Technol 2019;34:146–54.Suche in Google Scholar
4. Wang, C, Zhang, HL, Fan, WH. Wind identification of parameters in unknown chaotic power system using parameter observers. Acta Energy Sol Sin 2019;40:1067–75.Suche in Google Scholar
5. Saushev, A, Shirokov, N, Butsanets, A. Rapid identification of the technical condition of a marine electric power system. J Phys: Conf Ser 2021;2061:012032. https://doi.org/10.1088/1742-6596/2061/1/012032.Suche in Google Scholar
6. Barrios, JA, Sanchez, F, Gonzalez-Longatt, F, Claudio, G. System identification applied to a single area electric power system under frequency response. Indones J Electr Eng Comput Sci 2021;22:1236–44. https://doi.org/10.11591/ijeecs.v22.i3.pp1236-1244.Suche in Google Scholar
7. Luo, Q, Liu, CY, Gu, Q, Zhang, Z, Wu, L, Ge, L. A topology identification method of distribution network based on optimal matching loop power. Electr Meas Instrum 2019;56:1–6.Suche in Google Scholar
8. Shen, JJ, Guo, JZ, Kalantari, M. Parameter calibration model and redundancy analysis of robot based on distance error. Trans Chin Soc Agric Mach 2018;49:372–8.Suche in Google Scholar
9. Fan, XM, Jia, EJ, Gao, LL, Zhang, WJ, Jiao, ZQ, Zhang, X. Analysis and simulation of frequency characteristic based on optimal objective parameter in magnetically-coupled resonant wireless power transfer system. Journal of Shanghai Jiaotong University 2020;54:430–40.Suche in Google Scholar
10. Shahabi, S, Esfahani, AN, Kordi, B. Partial discharge detection and identification at low air pressure in noisy environment. High Volt 2021;6:850–60. https://doi.org/10.1049/hve2.12101.Suche in Google Scholar
11. Fan, S, Wang, B, Xue, Y, Zhao, H, Guo, Q, Sun, Y. Parameter identification and efficiency identification of integrated energy system based on network model. Electr Power Constr 2019;40:33–40.Suche in Google Scholar
12. Mazharimousavi, SH. Power Maxwell nonlinear electrodynamics and the singularity of the electric field. Mod Phys Lett A 2022;37:2250170. https://doi.org/10.1142/s021773232250170x.Suche in Google Scholar
13. Coronel, E, Baran, B, Gardel, P. Optimal placement of remote controlled switches in electric power distribution systems with a meta-heuristic approach. Lat Am Trans 2022;20:590–8. https://doi.org/10.1109/tla.2022.9675464.Suche in Google Scholar
14. Xiao, LU, Peng, XU, Feng, S, Liu, J, Feng, LI. Identification and evaluation method of transformer positive sequence parameters considering random error of multi-period measurement data. Power Syst Technol 2019;43:856–63.Suche in Google Scholar
15. Wang, YH, Guo, TC, Fu, H, Xu, YS. Identification of low-frequency oscillation parameters of power system based on independent component analysis and wigner-ville distribution. Proc CSU-EPSA 2019;31:74–9.Suche in Google Scholar
16. Zhang, Q, Ding, JG. Parameter identification of frame structure heterogeneous system model based on hybrid quantum particle swarm and standard particle swarm algorithm. J Nanjing Univ Sci Technol 2020;44:177–84.Suche in Google Scholar
17. Wang, MQ, Wang, Y, Ji, ZC. Permanent magnet synchronous motor multi-parameter identification based on improved salp swarm algorithm. J Syst Simul 2018;30:261–8+274.Suche in Google Scholar
18. Yang, D, Wang, W, Gao, J, Wang, L, Cai, G. On-line electromechanical oscillation analysis and damping modulation for power system using ambient data (Part I): modal parameters identification based on ORSSI. Proceedings CSEE 2018;38:2253–61+2535.Suche in Google Scholar
19. Jimenez, VA, Will, A. A new data-driven method based on Niching Genetic Algorithms for phase and substation identification. Elec Power Syst Res 2021;199:1–10. https://doi.org/10.1016/j.epsr.2021.107434.Suche in Google Scholar
20. Su, Q, Chen, C, Sun, ZL, Li, J. Identification of critical nodes for cascade faults of grids based on electrical PageRank. Global Energy Interconnection 2022;4:587–95. https://doi.org/10.1016/j.gloei.2022.01.006.Suche in Google Scholar
21. Jimenez, VA, Will, A, Rodriguez, S. Phase identification and substation detection using data analysis on limited electricity consumption measurements. Elec Power Syst Res 2020;187:106450. https://doi.org/10.1016/j.epsr.2020.106450.Suche in Google Scholar
22. Fan, B, Zheng, CX, Tang, LR, Wu, RZ. Critical nodes identification for vulnerability analysis of power communication networks. IET Commun 2020;14:703–13. https://doi.org/10.1049/iet-com.2019.0179.Suche in Google Scholar
23. Wang, SJ, Sun, Q, Hou, YQ, Lin, JK. The identification and correction method of grid parameters based on the state estimation and comprehensive suspicious index. Electr Power 2020;53:36–42.Suche in Google Scholar
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Special Issue on Smart Energy Infrastructures for Smart Cities
- Clearing method of regional power spot market based on blockchain and distributed data security reading algorithm
- Investigation on the supporting role of intelligent power system based on low carbon and environmental protection
- Energy consumption calculation and energy-saving measures of substation based on Multi-objective artificial bee colony algorithm
- Evaluation on the method of restoring the complex communication environment in the field based on the complex low pressure platform simulation platform
- Investigation for size and location of electric vehicle charging station accompanying VRP index and commissioning cost
- Research Articles
- Modeling of bidirectional electric vehicle charger for grid ancillary services
- Parameter identification of electric power remote telemetering system based on real-time section data and error-preventing topology analysis
- Prediction of rotor slot width in induction motor using Dyadic wavelet transform and softmax regression
- A novel ultra-high step-up interleaved DC–DC converter based on the three-winding coupled inductor for distributed generation power system
- Estimating and minimizing the eddy current loss in a permanent magnetic fault current limiter
- Cost-effective process experimental studies on stator inter-turn faults detection in induction motor using harmonic RPVM and decomposition wavelet transform
Artikel in diesem Heft
- Frontmatter
- Special Issue on Smart Energy Infrastructures for Smart Cities
- Clearing method of regional power spot market based on blockchain and distributed data security reading algorithm
- Investigation on the supporting role of intelligent power system based on low carbon and environmental protection
- Energy consumption calculation and energy-saving measures of substation based on Multi-objective artificial bee colony algorithm
- Evaluation on the method of restoring the complex communication environment in the field based on the complex low pressure platform simulation platform
- Investigation for size and location of electric vehicle charging station accompanying VRP index and commissioning cost
- Research Articles
- Modeling of bidirectional electric vehicle charger for grid ancillary services
- Parameter identification of electric power remote telemetering system based on real-time section data and error-preventing topology analysis
- Prediction of rotor slot width in induction motor using Dyadic wavelet transform and softmax regression
- A novel ultra-high step-up interleaved DC–DC converter based on the three-winding coupled inductor for distributed generation power system
- Estimating and minimizing the eddy current loss in a permanent magnetic fault current limiter
- Cost-effective process experimental studies on stator inter-turn faults detection in induction motor using harmonic RPVM and decomposition wavelet transform
