Investigating the social efficiency of merchant transmission planning through a non-cooperative game-theoretic framework
File(s)
Author(s)
De Paola, A
Papadaskalopoulos, D
Angeli, D
Strbac, G
Type
Journal Article
Abstract
Merchant transmission planning is considered as a further step towards the full liberalization of the electricity industry. However, previous modeling approaches do not comprehensively explore its social efficiency as they cannot effectively deal with a large number of merchant companies. This paper addresses this fundamental challenge by adopting a novel non-cooperative game-theoretic approach. Specifically, the number of merchant companies is assumed sufficiently large to be approximated as a continuum. This allows the derivation of mathematical conditions for the existence of a Nash Equilibrium solution of the merchant planning game. By analytically and numerically comparing this solution against the one obtained through the traditional centralized planning approach, the paper demonstrates that merchant planning can maximize social welfare only when the following conditions are satisfied: a) fixed investment costs are neglected and b) the network is radial and does not include any loops. Given that these conditions do not generally hold in reality, these findings suggest that even a fully competitive merchant transmission planning framework, involving the participation of a very large number of competing merchant companies, is not generally capable of maximizing social welfare.
Date Issued
2018-09-01
Date Acceptance
2018-03-01
Citation
IEEE Transactions on Power Systems, 2018, 33 (5), pp.4831-4841
ISSN
0885-8950
Publisher
IEEE
Start Page
4831
End Page
4841
Journal / Book Title
IEEE Transactions on Power Systems
Volume
33
Issue
5
Copyright Statement
© 2018 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.
Sponsor
The Leverhulme Trust
Grant Number
ECF-2016-394
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Game theory
merchant transmission investors
Nash equilibrium
transmission planning
NETWORK COST ALLOCATION
RESTRUCTURED ELECTRICITY MARKETS
GRID INVESTMENT
EXPANSION
CONTINUUM
TRADERS
MODELS
TIME
0906 Electrical And Electronic Engineering
Energy
Publication Status
Published
Date Publish Online
2018-03-22