Incorporating demand flexibility in strategic generation investment planning
File(s)Oderinwale_EEM_2018_accepted.pdf (624.52 KB)
Accepted version
Author(s)
Oderinwale, T
Papadaskalopoulos, Dimitrios
Ye, Yujian
Strbac, Goran
Type
Conference Paper
Abstract
The envisaged decarbonization of electricity systems
has attracted significant inte
rest around the role and value of
demand flexibility
.
However, the impact of this flexibility on
generation investments in the deregulated
electricity industry
setting remains a largely unexplored area, since previous
relevant work
neglects
the time
-
coupli
ng nature of demand
shifting potentials.
This paper addresses this challenge by
proposing a strategic generation investment planning model
expressing the decision making process of a
self
-
interested
generation company and accounting for the time
-
coupling
o
perational characteristics of demand flexibility. This model is
formulated as a multi
-
period bi
-
level optimization problem,
which is solved after converting it to a Mathematical Program
with Equilibrium Constraints (MPEC).
Case studies with the
proposed
mo
del
demonstrate that demand flexibility reduces the
total generation capacity investment, enhances investments in
baseload generation and yield
s
significant economic benefits in
terms of total system costs and demand payments.
has attracted significant inte
rest around the role and value of
demand flexibility
.
However, the impact of this flexibility on
generation investments in the deregulated
electricity industry
setting remains a largely unexplored area, since previous
relevant work
neglects
the time
-
coupli
ng nature of demand
shifting potentials.
This paper addresses this challenge by
proposing a strategic generation investment planning model
expressing the decision making process of a
self
-
interested
generation company and accounting for the time
-
coupling
o
perational characteristics of demand flexibility. This model is
formulated as a multi
-
period bi
-
level optimization problem,
which is solved after converting it to a Mathematical Program
with Equilibrium Constraints (MPEC).
Case studies with the
proposed
mo
del
demonstrate that demand flexibility reduces the
total generation capacity investment, enhances investments in
baseload generation and yield
s
significant economic benefits in
terms of total system costs and demand payments.
Date Issued
2018-09-24
Date Acceptance
2018-05-25
Citation
2018
Publisher
IEEE
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.
Identifier
https://ieeexplore.ieee.org/document/8469880
Source
15th International Conference on the European Energy Market
Subjects
Science & Technology
Technology
Energy & Fuels
Engineering, Electrical & Electronic
Engineering
Bi-level optimization
demand flexibility
electricity markets
generation investment planning
EXPANSION
CAPACITY
Publication Status
Published
Start Date
2018-06-27
Finish Date
2018-06-29
Coverage Spatial
Lodz Poland
Date Publish Online
2018-09-24