Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/111798
Title: Optimal Amount of Information Determination for Power System Steady State Estimation
Authors: Asanov, M.
Semenenko, S.
Matrenin, P.
Asanova, S.
Safaraliev, M.
Rusina, A.
Issue Date: 2022
Publisher: Elsevier Ltd
Elsevier BV
Citation: Optimal Amount of Information Determination for Power System Steady State Estimation / M. Asanov, S. Semenenko, P. Matrenin et al. // Energy Reports. — 2022. — Vol. 8. — P. 1085-1092.
Abstract: On the basis of literature sources analysis, the paper provides the rationale for the necessity of considering the limited digital devices capabilities when designing closed digital control systems for the complex electrical power grids. The problem of design is decomposed into two subproblems: design of current state observation vector digital transmission systems and current controlled process state estimation; design of digital systems for optimal control vector calculation, transmission and control actions realization. The paper presents consideration of the former problem, i.e. design of current state observation vector digital transmission systems and current controlled process state estimation: the mathematical model of digital system of information transmission and state estimation considering speed and reliability of technical means of implementation is presented; the functional structure of simulation complex is developed; the paper provides the formulation of the problem of estimating the optimal amount of information about the control object state, resulting in a solution of computational experiments simulating complex. © 2021 The Author(s).
Keywords: AUTOMATION OF CONTROL PROCESSES
DIGITAL SYSTEMS
INFORMATION GATHERING
MATHEMATICAL MODELING AND SIMULATION
OBSERVATION VECTOR
OPTIMAL AMOUNT OF INFORMATION
POWER SYSTEMS STATE ESTIMATION
DIGITAL CONTROL SYSTEMS
DIGITAL DEVICES
ELECTRIC POWER SYSTEM CONTROL
ELECTRIC POWER TRANSMISSION
ESTIMATION
PROCESS CONTROL
STATE ESTIMATION
VECTORS
'CURRENT
AMOUNT OF INFORMATION
AUTOMATION OF CONTROL PROCESS
CONTROL PROCESS
ELECTRIC POWER TRANSMISSION NETWORKS
URI: http://hdl.handle.net/10995/111798
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85120086295
PURE ID: 29139024
ISSN: 2352-4847
metadata.dc.description.sponsorship: The reported study was funded by RFBR, Russia, Sirius University of Science and Technology, JSC Russian Railways and Educational Fund “Talent and success”, project number 20-38-51007.
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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