Power flow state estimation using Newton algorithm

Power flow state estimation using Newton algorithm | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 29 January 2025 V1 Latest version Share on Power flow state estimation using Newton algorithm Author : Bukunmi Odunlami 0009-0008-0901-6312 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.173819059.95663836/v1 286 views 142 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Power flow and state estimation are fundamental processes in the operation and planning of power systems. The power flow model integrates network, load, and generation data to calculate voltages, line flows, and system losses across different buses, relying on the resolution of nodal power balance equations. Concurrently, state estimation plays a pivotal role by reconciling actual measurements with modeled values, determining the most probable state of the system. This paper explores power flow and state estimation challenges in power systems engineering, presenting numerical results for an AC power flow problem and two state estimation problems in DC and AC networks. The Newton power flow algorithm is adeptly employed to address the intricacies of the first power flow problem, showcasing its effectiveness in handling the complexities of contemporary power systems. Furthermore, the paper sheds light on the state estimation problems, employing the weighted least squares method to enhance accuracy and reliability. The challenges encountered and solutions proposed provide valuable insights into the intricacies of these critical processes. Supplementary Material File (state_estimation (1).pdf) Download 843.10 KB Information & Authors Information Version history V1 Version 1 29 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords ac power flow dc power flow power systems state estimation weighted least square Authors Affiliations Bukunmi Odunlami 0009-0008-0901-6312 [email protected] View all articles by this author Metrics & Citations Metrics Article Usage 286 views 142 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Bukunmi Odunlami. Power flow state estimation using Newton algorithm. Authorea . 29 January 2025. DOI: https://doi.org/10.22541/au.173819059.95663836/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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