Probabilistic decomposition-based security constrained transmission expansion planning incorporating distributed series reactor

This study presents a probabilistic transmission expansion planning model incorporating distributed series reactors, which are aimed at improving network flexibility. Although the whole problem is a mixed-integer non-linear programming problem, this study proposes an approximation method to linearis...

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Bibliographic Details
Published in:	IET generation, transmission & distribution Vol. 14; no. 17; pp. 3478 - 3487
Main Authors:	Yuan, Zhi, Wang, Weiqing, Wang, Haiyun, Ghadimi, Noradin
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 04.09.2020
Subjects:	approximation method BD algorithm Benders decomposition algorithm developed optimal power flow problem distributed series reactors integer programming linear programming linear sub‐problem load flow mixed‐integer nonlinear programming problem Monte Carlo methods network flexibility nonlinear programming optimal number optimality gap power generation planning power system security power transmission planning power transmission reliability probabilistic decomposition‐based security probabilistic transmission expansion planning model probability Research Article stage problem transmission expansion planning incorporating distributed series reactor transmission lines power generation planning integer programming nonlinear programming distributed series reactors Benders decomposition algorithm linear programming Monte Carlo methods network flexibility approximation method mixed-integer nonlinear programming problem power transmission planning power transmission reliability transmission expansion planning incorporating distributed series reactor probability probabilistic decomposition-based security transmission lines power system security optimality gap probabilistic transmission expansion planning model linear sub-problem BD algorithm optimal number developed optimal power flow problem stage problem load flow
ISSN:	1751-8687, 1751-8695
Online Access:	Get full text
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