Projects per year
Abstract
This paper provides the result of a techno-economic study of potential energy storage technologies deployable at wind farms to provide short-term ancillary services such as inertia response and frequency support. Two different scenarios are considered including a single energy storage system for the whole wind farm and individual energy storage for each wind turbine (located at either the dc or the ac side of its grid-side converter). Simulations are introduced to check the technical viability of the proposal with different control strategies. Power and energy capability requirements demanded by both specific services are defined for each studied case based on present and future grid code needs. Based on these requirements, the study compares a wide range of energy storage technologies in terms of present-day technical readiness and properties and identifies potential candidate solutions. These are flywheels, supercapacitors, and three chemistries out of the Li-ion battery family. Finally, the results of a techno-economic assessment (mainly based on weight, volume, lifetime, and industry-confirmed costings) detail the advantages and disadvantages of the proposed solutions for the different scenarios under consideration. The main conclusion is that none of the candidates are found to be clearly superior to the others over the whole range of scenarios. Commercially available solutions have to be tailored to the different requirements depending on the amount of inertia, maximum Rate of Change of Frequency and maximum frequency deviation to be allowed.
Original language | English |
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Article number | 3421 |
Number of pages | 21 |
Journal | Energies |
Volume | 13 |
Issue number | 13 |
DOIs | |
Publication status | Published - 2 Jul 2020 |
Keywords
- energy storage
- wind power
- ancillary services
- inertia emulation
Fingerprint
Dive into the research topics of 'Techno-economic assessment of energy storage technologies for inertia response and frequency support from wind farms'. Together they form a unique fingerprint.Projects
- 2 Finished
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EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids | Harrison, Sam
Egea Alvarez, A., Papadopoulos, P. & Harrison, S.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/18 → 1/10/22
Project: Research Studentship - Internally Allocated
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EPSRC Centre for Doctoral Training in Wind & Marine Energy Systems
EPSRC (Engineering and Physical Sciences Research Council)
1/04/14 → 30/09/22
Project: Research - Studentship
Datasets
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Virtual Synchronous Machine (VSM) and Power Voltage Current Control + Inertia (PVCCI) Models and Initialisation Scripts
Harrison, S. (Creator) & Egea Alvarez, A. (Supervisor), University of Strathclyde, 6 Oct 2021
DOI: 10.15129/87efe3ab-c349-4354-9f76-aa9b4c21192f
Dataset