Economic value of inertia in low-carbon power systems
File(s)2001.03763v1.pdf (211.07 KB)
Submitted version
Author(s)
Badesa, Luis
Teng, Fei
Strbac, Goran
Type
Conference Paper
Abstract
Most renewable energy sources (RES) do not provide any inertial response. Their integration in a power grid implies a highly reduced level of system inertia, which leads to a deteriorated frequency performance. Then, the requirement for frequency response is significantly increased in order to maintain frequency security. Alternatively, enhanced provision of inertia from auxiliary sources may alleviate this problem. However, the benefits of inertia provision are not yet fully understood. In this paper, an inertia-dependent Stochastic Unit Commitment (SUC) tool is applied to quantify the economic value of inertia. The results demonstrate that enhanced provision of inertia would lead to significant economic savings, although these savings vary under different system conditions. These results should be brought to the attention of both market operators and investors, in order to inform the design of an ancillary-services market for inertia and the investment in auxiliary provision of inertia.
Date Issued
2018-01-18
Date Acceptance
2017-06-01
Citation
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2018
Publisher
IEEE
Journal / Book Title
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
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.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Grant Number
EP/K002252/1
EP/L001039/1
EP/L019469/1
Source
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Subjects
Science & Technology
Technology
Computer Science, Hardware & Architecture
Engineering, Electrical & Electronic
Computer Science
Engineering
Ancillary services
power system dynamics
stochastic programming
unit commitment
wind energy
Publication Status
Published
Start Date
2017-09-26
Finish Date
2017-09-29
Coverage Spatial
Torino, Italy