Experimental testing of a real aggregator system performing rigorous optimal control of electrical and thermal storage

Challen, Christopher, Jensen, Max and Skarvelis-Kazakos, Spyros (2021) Experimental testing of a real aggregator system performing rigorous optimal control of electrical and thermal storage. Journal of Energy Storage, 43. a103188. ISSN 2352-152X

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Abstract

This paper provides an experimentally validated optimal control approach based on a Hamilton–Jacobi–Bellman (HJB) model for optimising aggregated distributed energy resources across multiple energy carriers. The research incorporates nonlinear effects arising from storage degradation, conversion efficiency and self-discharge as well as multiple energy carrier storage. A semi-Lagrangian HJB solver was implemented on low-cost digital controllers, and integrated into a real fully functional cloud-based aggregation platform. The computational cost is kept at a minimum, enabling on-line computations on the low-cost controller, while maintaining a rigorous proof of convergence to the theoretical value function of the nonlinear, non-convex optimal control problem.

The controller links into a distributed optimal control platform that is using local as well as cloud-based information and performs all the computation and decision-making locally. The distributed controllers were tested and validated on site with an electrical and a thermal storage device. Experimental results confirm that the framework is practical, accommodates nonlinear effects and inaccurate external forecasts, has a small computational cost, is robust and can deliver significant cost benefits to the stakeholders.

Item Type: Article
Keywords: energy storage, optimal control, energy management, aggregation, multiple energy carriers, integrated energy system
Schools and Departments: School of Engineering and Informatics > Engineering and Design
SWORD Depositor: Mx Elements Account
Depositing User: Mx Elements Account
Date Deposited: 09 Sep 2021 07:28
Last Modified: 01 Mar 2022 13:13
URI: http://sro.sussex.ac.uk/id/eprint/101579

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Project NameSussex Project NumberFunderFunder Ref
Electrical and thermal storage optimisation in a virtual power plantG2197INNOVATE UK (TSB)Unset