Imperial College London

Prof David Angeli

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
//

Contact

 

+44 (0)20 7594 6283d.angeli Website

 
 
//

Location

 

1107CElectrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Angeli:2023:10.1109/tcns.2022.3221472,
author = {Angeli, D and Dong, Z and Strbac, G},
doi = {10.1109/tcns.2022.3221472},
journal = {IEEE Transactions on Control of Network Systems},
pages = {1137--1148},
title = {On optimal coordinated dispatch for heterogeneous storage fleets with partial availability},
url = {http://dx.doi.org/10.1109/tcns.2022.3221472},
volume = {10},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper addresses the problem of optimal scheduling of an aggregated power profile (during a coordinated discharging or charging operation) by means of a heterogeneous fleet of storage devices subject to availability constraints. Devices have heterogeneous initial levels of energy, power ratings and efficiency; moreover, the fleet operates without cross-charging of the units. An explicit feedback policy is proposed to compute a feasible schedule whenever one exists and scalable design procedures to achieve maximum time to failure or minimal unserved energy in the case of unfeasible aggregated demand profiles. Finally, a time-domain characterization of the set of feasible demand profiles using aggregate constraints is proposed, suitable for optimization problems where the aggregate population behaviour is of interest.
AU - Angeli,D
AU - Dong,Z
AU - Strbac,G
DO - 10.1109/tcns.2022.3221472
EP - 1148
PY - 2023///
SN - 2325-5870
SP - 1137
TI - On optimal coordinated dispatch for heterogeneous storage fleets with partial availability
T2 - IEEE Transactions on Control of Network Systems
UR - http://dx.doi.org/10.1109/tcns.2022.3221472
UR - https://ieeexplore.ieee.org/document/9946297
UR - http://hdl.handle.net/10044/1/101519
VL - 10
ER -