Optimal scheduling of frequency services considering a variable largest-power-infeed-loss
File(s)2001.03751v1.pdf (129.36 KB)
Submitted version
Author(s)
Badesa, Luis
Teng, F
Strbac, G
Type
Conference Paper
Abstract
Low levels of inertia due to increasing renewable penetration bring several challenges, such as the higher need for Primary Frequency Response (PFR). A potential solution to mitigate this problem consists on reducing the largest possible power loss in the grid. This paper develops a novel modelling framework to analyse the benefits of such approach.A new frequency-constrained Stochastic Unit Commitment (SUC) is proposed here, which allows to dynamically reduce the largest possible loss in the optimisation problem. Furthermore, the effect of load damping is included by means of an approximation, while its effect is typically neglected in previous frequency-secured-UC studies. Through several case studies, we demonstrate that reducing the largest loss could significantly decrease operational cost and carbon emissions in the future Great Britain's grid.
Date Issued
2018-12-24
Date Acceptance
2018-08-05
Citation
2018 IEEE Power & Energy Society General Meeting (PESGM), 2018
ISBN
9781538677032
ISSN
1944-9925
Publisher
IEEE
Journal / Book Title
2018 IEEE Power & Energy Society General Meeting (PESGM)
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.
Source
2018 IEEE Power and Energy Society General Meeting
Subjects
math.OC
math.OC
Publication Status
Published
Start Date
2018-08-05
Finish Date
2018-08-10
Coverage Spatial
Portland, OR, USA