NDLI: Parallel relaxation-based joint dynamic state estimation of large-scale power systems

Content Provider	IET Digital Library
Author	Karimipour, Hadis Dinavahi, Venkata
Abstract	Massive amounts of data generated in large-scale grids poses a formidable challenge for real-time monitoring of power systems. Dynamic state estimation which is a prerequisite for normal operation of power systems involves the time-constrained solution of a large set of equations which requires significant computational resources. In this study, an efficient and accurate relaxation-based parallel processing technique is proposed in the presence of phasor measurement units. A combination of different types of parallelism is used on both single and multiple graphic processing units to accelerate large-scale joint dynamic state estimation simulation. The estimation results for both generator and network states verify that proper massive-thread parallel programming makes the entire implementation scalable and efficient with high accuracy.
Starting Page	452
Ending Page	459
Page Count	8
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 2, Feb (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0808
Journal	IET Generation, Transmission & Distribution
Publisher	The Institution of Engineering and Technology
Publisher Date	2016-02-04
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Graphic Processing Units Graphics Processing Units Large-scale Joint Dynamic State Estimation Simulation Large-scale Power System Massive-thread Parallel Programming Parallel Programming Parallel Relaxation-based Joint Dynamic State Estimation Phasor Measurement Phasor Measurement Unit Power System Measurement And Metering Power System State Estimation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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