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

Content Provider	IET Digital Library
Author	Yuan, Zhi Wang, Weiqing Wang, Haiyun Ghadimi, Noradin
Abstract	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 linearise it in the structure of the Benders decomposition (BD) algorithm. In the first stage of the BD algorithm, optimal number of new transmission lines and distributed series reactors are determined. In the second stage, the developed optimal power flow problem, as a linear sub-problem, is performed for different scenarios of uncertainties and a set of probable contingencies. The Benders cuts are iteratively added to the first stage problem to decrease the optimality gap below a given threshold. The proposed model utilises the Monte Carlo simulation method to take into account uncertainty of wind generations and demands. Several case studies on three test systems are presented to validate the efficacy of the proposed approach.
Starting Page	3478
Ending Page	3487
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 17, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1625
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-06-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	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 Method Network Flexibility Nonlinear Programming Optimal Number Optimality Gap Optimisation Technique Power Generation Planning Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Power System Security Power Transmission Planning Power Transmission Reliability Power Transmission, Distribution And Supply Probabilistic Decomposition-based Security Probabilistic Transmission Expansion Planning Model Probability Reliability Stage Problem Statistics Transmission Expansion Planning Incorporating Distributed Series Reactor Transmission Line
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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