NDLI: Initialised load-flow analysis based on Lagrange polynomial approximation for efficient quasi-static time-series simulation

Content Provider	IET Digital Library
Author	Akher, Mamdouh Abdel Selim, Ali Aly, Mohamed M.
Abstract	This study presents a developed formulation for solving the quasi-static time-series simulation in unbalanced power distribution systems. This simulation is very important for analysing a set of given daily load curves under various operating conditions. The Lagrange polynomial approximation is implemented to predict an initial guess of both voltage magnitude and phase angle at time instants in vicinity of the given power-flow solutions. The developed methods are categorised based on the required number of power-flow solutions to predict the initial guess. The linear approximation of the Lagrange polynomial requires the knowledge of two power-flow solutions, whereas the non-linear approximation requires three power-flow solutions. The predicted values of both voltage magnitudes and angles are corrected using power-flow engine. The adopted power-flow solver uses the forward/backward sweep. The developed methods were tested using the unbalanced IEEE 123-node and 33-node test feeders with a set of daily load curves and intermittent distributed energy resources. The developed methods are compared with the method which utilises the previous power-flow solution as an initial guess. The results show that the number of iterations and computation time of quasi-static time-series simulations are greatly reduced.
Starting Page	2768
Ending Page	2774
Page Count	7
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 16, Dec (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.0866
Journal	IET Generation, Transmission & Distribution
Publisher Date	2015-12-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	33-node Test Feeders Daily Load Curves Distributed Power Generation Distribution Network Forward-backward Sweep Initialised Load-flow Analysis Intermittent Distributed Energy ReSource Interpolation And Function Approximation Lagrange Polynomial Approximation Linear Approximation Load Flow Numerical Analysis Phase Angle Polynomial Approximation Power-flow Solutions Quasistatic Time-series Simulation Statistics Time Series Unbalanced IEEE 123-node Unbalanced Power Distribution System Voltage Magnitude
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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