Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Dynamic containment service from industrial demand response resources coordinated with energy storage systems

Wu, Chuanshen, Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714, Gan, Wei and Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602 2024. Dynamic containment service from industrial demand response resources coordinated with energy storage systems. Journal of Energy Storage 103 (Part B) , 114413. 10.1016/j.est.2024.114413

[thumbnail of Dynamic Containment Service from Industrial Demand Response Resources.pdf]
Preview
PDF - Published Version
Available under License Creative Commons Attribution.

Download (6MB) | Preview
License URL: http://creativecommons.org/licenses/by/4.0/
License Start date: 2 November 2024

Abstract

Industrial Demand Response Resources (DRRs) are widely used in the frequency response service market. However, some industrial DRRs with slow ramp rates (e.g., steam power generators in factories) cannot meet the stringent requirements of novel types of frequency response services, such as the latest Dynamic Containment (DC) service in the UK. In this paper, a Virtual Energy Storage System (VESS) model is developed to enable such industrial DRRs to participate in the DC service by coordinating with an Energy Storage System (ESS). In this VESS model, the power and energy capacity of the ESS are determined by considering its complementary characteristics with industrial DRRs, enabling the VESS to successfully provide the DC service as a whole under the proposed control strategy. Meanwhile, the operational baseline of the ESS is updated based on the “state of energy” management rules for energy-limited units as defined in the DC service. Simulation results verify that the established VESS model is able to meet the technical specifications of the DC service. Moreover, in scenarios where sustained frequency deviations occur due to severe faults, the established VESS model has superior performance over using an ESS alone.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 2352-152X
Funders: Engineering and Physical Sciences Research Council, Horizon 2020
Date of First Compliant Deposit: 4 November 2024
Date of Acceptance: 26 October 2024
Last Modified: 17 Dec 2024 11:44
URI: https://orca.cardiff.ac.uk/id/eprint/173513

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics