Efficient sensitivity based approach for AC transmission expansion planning

AC transmission expansion planning (TEP) is a complex problem to solve due to its large scale, mixed-integer, non-linear and non-convex characteristics. This paper presents an efficient sensitivity based approach which employs the primal-dual interior point method (PDIPM), for tackling integer varia...

Full description

Saved in:
Bibliographic Details
Published in:IET generation, transmission & distribution Vol. 14; no. 12; pp. 2378 - 2388
Main Authors: Yasasvi, Puvvada Naga, Mohapatra, Abheejeet, Srivastava, Suresh C
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 19.06.2020
Subjects:
AC TEP model
AC transmission expansion planning
concave programming
conventional DC TEP
efficient sensitivity based approach
feasible AC TEP solution
integer programming
integer variables
integrated multistage AC TEP
linear programming
merit function based approach
mixed‐integer
nonconvex characteristics
nonconvex mixed integer nonlinear programming problem
nonlinear programming
particle swarm optimisation
power grids
power transmission economics
power transmission planning
power transmission reliability
primal‐dual interior point method
reactive power
reactive power planning
Research Article
AC TEP model
integrated multistage AC TEP
AC transmission expansion planning
merit function based approach
particle swarm optimisation
integer programming
nonlinear programming
nonconvex mixed integer nonlinear programming problem
linear programming
power transmission economics
feasible AC TEP solution
efficient sensitivity based approach
conventional DC TEP
nonconvex characteristics
primal-dual interior point method
mixed-integer
reactive power
reactive power planning
integer variables
power transmission planning
power grids
concave programming
power transmission reliability
ISSN:1751-8687, 1751-8695
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:AC transmission expansion planning (TEP) is a complex problem to solve due to its large scale, mixed-integer, non-linear and non-convex characteristics. This paper presents an efficient sensitivity based approach which employs the primal-dual interior point method (PDIPM), for tackling integer variables in AC TEP. PDIPM's Hessian is used to evaluate the sensitivities of the objective function with respect to the line candidates, which are then used to find a feasible AC TEP solution. The proposed approach solves this non-convex mixed integer non-linear programming problem, without resorting to any use of relaxations/approximations in the AC TEP model. Also, the need and superiority of the AC TEP over the conventional DC TEP is established by comparing both using the proposed approach. Solutions of AC TEP with reactive power planning and an integrated multistage AC TEP are also obtained to demonstrate the performance of the proposed approach. Superior solution quality and lesser computation time of the proposed approach are confirmed by comparing the same with that of the branch and bound/cut approach, constructive heuristic algorithm, merit function-based approach, conic programming and particle swarm optimisation. The studies performed for the various test cases prove the efficacy and computational efficiency of the proposed approach.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2019.1081