Research on Distributed State Estimation for PV-Storage and VSC-HVDC Coordinated DC Power Supply and Distribution System

Research on Distributed State Estimation for PV-Storage and VSC-HVDC Coordinated DC Power Supply and Distribution System | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL IET Generation, Transmission & Distribution This is a preprint and has not been peer reviewed. Data may be preliminary. 12 May 2026 V1 Latest version Share on Research on Distributed State Estimation for PV-Storage and VSC-HVDC Coordinated DC Power Supply and Distribution System Authors : Qihui Feng 0009-0004-6456-7759 [email protected] , Xin Yan [email protected] , Yutao Xu [email protected] , Ziliang Zhang [email protected] , and YaoLang ZHANG [email protected] Authors Info & Affiliations https://doi.org/10.22541/authorea.15003137/v1 14 views 4 downloads Contents Abstract Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Distribution network state estimation is crucial for the stable operation of power systems. The traditional Kalman filtering algorithm is difficult to accurately describe the dynamic characteristics of distribution networks. For this reason, this paper proposes a new method that combines the dynamic load forecasting model with distributed traceless Kalman filtering, where the load at each node is taken as an extended state variable, and the load forecasting result is taken as the new incremental measurement data to establish the equation constraint relationship. This method can indirectly obtain the system state transfer relationship, and then predict the system state at the next moment. In the framework of the traceless Kalman filtering algorithm, this paper performs topological partitioning of the arithmetic cases and distributed state estimation for them. Simulation analysis of the IEEE69-node power distribution system shows that the state estimation errors of voltage magnitude and phase angle of the new method are significantly reduced. Information & Authors Information Version history V1 Version 1 12 May 2026 Collection IET Generation, Transmission & Distribution Keywords electricity supply industry energy harvesting photovoltaic power systems power distribution lines power system reliability power transmission control power system dynamic stability power system control power system analysis computing power system simulation power system stability stochastic processes transient analysis delay systems discrete time systems energy storage power system reliability power system planning power system analysis computing reliability adaptive Kalman filters convolutional neural nets DC power transmission distributed power generation load forecasting power transmission control power transmission protection AC-AC power convertors AC-DC power convertors power system reliability power system planning power system analysis computing reliability power system dynamic stability power system control power system analysis computing power system simulation power system stability stochastic processes transient analysis delay systems discrete time systems energy storage electricity supply industry energy harvesting photovoltaic power systems power distribution lines power system reliability power transmission control Authors Affiliations Qihui Feng 0009-0004-6456-7759 [email protected] Electric Power Research Institute of Guizhou Power Grid Co, guiyang, China View all articles by this author Xin Yan [email protected] Electric Power Research Institute of Guizhou Power Grid Co, guiyang, China View all articles by this author Yutao Xu [email protected] Electric Power Research Institute of Guizhou Power Grid Co, guiyang, China View all articles by this author Ziliang Zhang [email protected] Electric Power Research Institute of Guizhou Power Grid Co, guiyang, China View all articles by this author YaoLang ZHANG [email protected] Electric Power Research Institute of Guizhou Power Grid Co, guiyang, China View all articles by this author Metrics & Citations Metrics Article Usage 14 views 4 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Qihui Feng, Xin Yan, Yutao Xu, et al. Research on Distributed State Estimation for PV-Storage and VSC-HVDC Coordinated DC Power Supply and Distribution System. Authorea . 12 May 2026. DOI: https://doi.org/10.22541/authorea.15003137/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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