NDLI: Handling dynamic uncertainties for electric power system modeling and control

Content Provider	IEEE Xplore Digital Library
Author	Mostafa, O.M.
Copyright Year	1976
Description	Author affiliation: Texas A&M University, College Station, Texas, USA (Mostafa, O.M.)
Abstract	This paper demonstrates an approach to treat partial dynamic uncertainties for purposes of electric power system monitoring and control. Stochastic modeling from real time measurements, and system parameter estimation techniques are used to identify the unknown dynamics. Cases of dynamic uncertainties, often encountered in electric power system studies, and discussed in this paper involve: [i] Electric load demand forecast, and/or system frequency prediction for purposes of system planning and automatic generation control. [ii] Dynamic characterization of electric loads or generators for different stability studies. [iii] Equivalencing of unknown parts of partially specified networks for handling large scale system complexities, computational cost and storage limitations. For a given sequence of load demands, Case (i), or frequency, a stochastic one-step-ahead predictive model is postulated and a set of undetermined parameters is estimated. In Case (ii), dynamical model for transients as seen at a particular load bus is formulated from current and voltage data gathered. Two separate feed-forward and feedback-loops generating current and voltage processes are then identified, conveying the interdependence of the two processes and orthogonality of disturbances. In Case (iii), dynamic equivalencing of totally or partially unknown parts of a large power system is considered. The static performance of the unspecified part is represented through generalised Thevenin's theory, or computed from tie line measurements. The dynamic impact of the unknown areas on the parts of concern is analyzed as a stochastic stationary process excited by unknown disturbances and observable inputs. Some case studies are referred to.
Starting Page	267
Ending Page	271
File Size	309634
Page Count	5
File Format	PDF
DOI	10.1109/CDC.1976.267744
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1976-12-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power system dynamics Uncertainty Modeling Control system synthesis Parameter estimation Frequency estimation Stochastic processes Voltage Power system analysis computing Monitoring
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Dynamic Technique for Power System Oscillations Monitoring

Bootstrap methods for stochastic prediction of voltage sags

Applied stochastic network state estimation

PMU-based dynamic state estimation for electric power systems

Modeling uncertainties affecting power system dynamics

A development of dynamic load model parameter derivation method

Parameter Identification of Systems with Uncertain Dynamics and Disturbances

A method for evaluating a mapping parameter for power system dynamic stability analysis

Dynamic voltage scaling and power management for portable systems

Handling dynamic uncertainties for electric power system modeling and control

Similar Documents

A Dynamic Technique for Power System Oscillations Monitoring

Bootstrap methods for stochastic prediction of voltage sags

Applied stochastic network state estimation

PMU-based dynamic state estimation for electric power systems

Modeling uncertainties affecting power system dynamics

A development of dynamic load model parameter derivation method

Parameter Identification of Systems with Uncertain Dynamics and Disturbances

A method for evaluating a mapping parameter for power system dynamic stability analysis

Dynamic voltage scaling and power management for portable systems

Handling dynamic uncertainties for electric power system modeling and control