Journal article
Novel approach to measurement-based load modeling via analog and Jacobi-based methods
International journal of electrical power & energy systems, v 53(1), pp 329-337
01 Dec 2013
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper addresses a concrete problem in the field of power engineering. Although measurement-based modeling techniques have potential to drastically improve the quality of load representation in power system studies and positively affect results, they are not applied (in industry) for reasons of computational complexity. These limitations stem from the optimization methods (e.g. Newton-Raphson) and hardware implementations (e.g. digital computer) generally employed. In this work, the authors examine a simple, alternative method which relies on Jacobi optimization and analog emulation hardware to reduce computational complexity, facilitate online applications, and make measurement-based load modeling more attractive to utilities and independent system operators (ISO's). They hypothesize and later demonstrate that the alternative will yield results comparable to that of traditional methods. (C) 2013 Elsevier Ltd. All rights reserved.
Metrics
Details
- Title
- Novel approach to measurement-based load modeling via analog and Jacobi-based methods
- Creators
- Anthony Deese - College of New JerseyC. O. Nwankpa - Drexel University
- Publication Details
- International journal of electrical power & energy systems, v 53(1), pp 329-337
- Publisher
- Elsevier
- Number of pages
- 9
- Grant note
- ECCS-0601647 / National Science Foundation; National Science Foundation (NSF) CH11170 / Department of Energy; United States Department of Energy (DOE)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000325445600035
- Scopus ID
- 2-s2.0-84878346147
- Other Identifier
- 991019318934704721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic