A Five-Level MILP Model for Flexible Transmission Network Planning under Uncertainty: A Min-Max Regret Approach

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Title: A Five-Level MILP Model for Flexible Transmission Network Planning under Uncertainty: A Min-Max Regret Approach
Author(s): Moreira, A
Strbac, G
Moreno, R
Street, A
Konstantelos, I
Item Type: Journal Article
Abstract: The benefits of new transmission investment significantly depend on deployment patterns of renewable electricity generation that are characterized by severe uncertainty. In this context, this paper presents a novel methodology to solve the transmission expansion planning (TEP) problem under generation expansion uncertainty in a min-max regret fashion, when considering flexible network options and n 1 security criterion. To do so, we propose a five-level mixed integer linear programming (MILP) based model that comprises: (i) the optimal network investment plan (including phase shifters), (ii) the realization of generation expansion, (iii) the co-optimization of energy and reserves given transmission and generation expansions, (iv) the realization of system outages, and (v) the decision on optimal post-contingency corrective control. In order to solve the fivelevel model, we present a cutting plane algorithm that ultimately identifies the optimal min-max regret flexible transmission plan in a finite number of steps. The numerical studies carried out demonstrate: (a) the significant benefits associated with flexible network investment options to hedge transmission expansion plans against generation expansion uncertainty and system outages, (b) strategic planning-under-uncertainty uncovers the full benefit of flexible options which may remain undetected under deterministic, perfect information, methods and (c) the computational scalability of the proposed approach.
Publication Date: 1-Jun-2017
Date of Acceptance: 1-Jun-2017
URI: http://hdl.handle.net/10044/1/51791
DOI: https://dx.doi.org/10.1109/TPWRS.2017.2710637
ISSN: 0885-8950
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 486
End Page: 501
Journal / Book Title: IEEE Transactions on Power Systems
Volume: 33
Issue: 1
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Engineering and Physical Sciences Research Council
Funder's Grant Number: EP/K002252/1
R96051 - EP/K036173/1
EP/N005996/1
EP/N005996/1
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Multi-level optimization
network security
power systems economics
transmission expansion planing under uncertainty
ROBUST OPTIMIZATION
EXPANSION
GENERATION
ENERGY
MARKET
0906 Electrical And Electronic Engineering
Energy
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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