NDLI: Bi-level optimal planning model of power flow router based on convex relaxation optimisation and sensitivity analysis method

Content Provider	IET Digital Library
Author	Xu, Huating Li, Haibo Yao, Dawei Zhang, Xiaohui Jin, Shuxin
Abstract	To improve the utilisation of renewable energy and the power transmission capacity in the power system, the concept of power flow router (PFR) is proposed by scholars worldwide. However, there lacks an optimal planning method for PFR based on the economic principle, which impedes the development of PFR. To solve the above problem, the optimal location and capacity planning method of PFR is researched in this study, where a bi-level algorithm based on the convex relaxation optimisation and sensitivity analysis method is proposed. First, the definition and the general power flow model of PFR are introduced. According to the principle of engineering economy, the allocation model of PFR is established by introducing the binary variables. To solve the non-linear and non-convex mixed-integer programming problem, this study proposes a bi-level algorithm with the convex relaxation optimisation and sensitivity analysis method. Finally, the case studies are conducted in IEEE 30, IEEE 57 and IEEE 118 systems. The calculation results of the optimal power flow, planning results and economical analysis of PFRs are verified in IEEE 30, 57 and 118 systems, which shows the accuracy of the proposed algorithm.
Starting Page	1912
Ending Page	1921
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 10, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0356
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-02-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bi-level Algorithm Capacity Planning Method Convex Relaxation Optimisation General Power Flow Model Integer Programming Level Optimal Planning Model Load Flow Nonconvex Mixed-integer Programming Problem Nonlinear Mixed-integer Programming Problem Nonlinear Programming Optimal Location Optimal Planning Method Optimal Power Flow Optimisation Technique PFR Power Flow Router Power System Power System Planning Power System Planning And Layout Power Transmission Capacity Sensitivity Analysis Sensitivity Analysis Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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