NDLI: Identification of dynamic equivalents based on heuristic optimization for smart grid applications

Content Provider	IEEE Xplore Digital Library
Author	Cepeda, J.C. Rueda, J.L. Erlich, I.
Copyright Year	2012
Description	Author affiliation: Institute of Electrical Power Systems, University Duisburg-Essen, Germany (Rueda, J.L.; Erlich, I.) \|\| Instituto de Energía Eléctrica, Universidad Nacional de San Juan, Argentina (Cepeda, J.C.)
Abstract	Vulnerability assessment is one of the main tasks in a Self-Healing Grid structure, since it has the function of detecting the necessity of performing global control actions in real time. Due to the short-time requirements of real time applications, the eligible vulnerability assessment methods have to consider the improvement of calculation time. Although there are several methods capable of performing quick assessment, these techniques are not fast enough to analyze real large power systems in real time. Based on the fact that vulnerability begins to develop in specific regions of the system exhibiting coherent dynamics, large interconnected power systems can be reduced through dynamic equivalence in order to reduce the calculation time. A dynamic equivalent should provide simplicity and accuracy sufficient for system dynamic simulation studies. Since the parameters of the dynamic equivalent cannot be easily derived from the mathematical models of generators and their control systems, numerical identification methods are needed. Such an identification task can be tackled as an optimization problem. This paper introduces a novel heuristic optimization algorithm, namely, the Mean-Variance Mapping Optimization (MVMO), which provides excellent performance in terms of convergence behavior and accuracy of the identified parameters. The identification procedure and the level of accuracy that can be reached are demonstrated using the Ecuadorian-Colombian interconnected system in order to obtain a dynamic equivalent representing the Colombian grid.
Starting Page	1
Ending Page	8
File Size	1128730
Page Count	8
File Format	PDF
ISBN	9781467315104
e-ISBN	9781467315098
e-ISBN	9781467315081
DOI	10.1109/CEC.2012.6256493
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-10
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization Power system dynamics Real time systems Mathematical model Generators Convergence Power system stability vulnerability dynamic equivalent heuristic optimization Mean-Variance Mapping Optimization smart grid
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

Identification of dynamic equivalents based on heuristic optimization for smart grid applications.

A generic danish distribution grid model for smart grid technology testing

$MVMO^{S}-based$ approach for identification of dynamic equivalents from PMU measurements

A real-time dynamic equivalent solution for large interconnected power systems

An ADMM + consensus based distributed algorithm for dynamic economic power dispatch in smart grid

Study on Dynamic Equivalent Coherency-Based of Hainan Power Grid

Dynamic equivalents of active distribution grids based on model parameters identification

Nonlinear identification of the external power system dynamic equivalent for the study system

Integration of Dynamic Equivalents in Hypersim Power System Simulator

Identification of dynamic equivalents based on heuristic optimization for smart grid applications

Similar Documents

Identification of dynamic equivalents based on heuristic optimization for smart grid applications.

A generic danish distribution grid model for smart grid technology testing

$MVMO^{S}-based$ approach for identification of dynamic equivalents from PMU measurements

A real-time dynamic equivalent solution for large interconnected power systems

An ADMM + consensus based distributed algorithm for dynamic economic power dispatch in smart grid

Study on Dynamic Equivalent Coherency-Based of Hainan Power Grid

Dynamic equivalents of active distribution grids based on model parameters identification

Nonlinear identification of the external power system dynamic equivalent for the study system

Integration of Dynamic Equivalents in Hypersim Power System Simulator

Identification of dynamic equivalents based on heuristic optimization for smart grid applications