Scheduling of Wind Farms for Optimal Frequency Response and Energy Recovery
File(s)IEEE_TCST_WTScheduling.pdf (1.01 MB)
Accepted version
Author(s)
De Paola, A
Angeli, D
Strbac, G
Type
Journal Article
Abstract
This paper deals with control of variable speed wind turbines, which provide frequency support through temporary overproduction. In particular, it determines the optimal profile of power extraction among multiple generators in order to minimize the total loss of efficiency, while allowing for a prescribed increase in generation. Starting with the simplifying assumption of unconstrained generated/supplied power for the single turbine, the scheduling is characterized as the solution of an optimal control problem. On the basis of this result, a heuristic control strategy is proposed for the case of turbines with limited power output, investigating under which conditions this choice achieves optimality. Using a similar approach, the problem of energy recovery is also considered, calculating the optimal power profiles that bring back the turbines to their working point of maximum efficiency after having provided frequency response.
Date Issued
2016-01-27
Date Acceptance
2016-01-27
Citation
IEEE Transactions on Control Systems Technology, 2016, 24 (5), pp.1764-1778
ISSN
1063-6536
Publisher
IEEE
Start Page
1764
End Page
1778
Journal / Book Title
IEEE Transactions on Control Systems Technology
Volume
24
Issue
5
Copyright Statement
© 2016 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 (E
Grant Number
EP/I031650/1
Subjects
Industrial Engineering & Automation
0906 Electrical And Electronic Engineering
0102 Applied Mathematics
Publication Status
Published