Imperial College London

Prof David Angeli

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Nonlinear Network Dynamics
 
 
 
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Contact

 

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

 
 
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Location

 

1107CElectrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Gong:2019:10.1016/j.energy.2019.116153,
author = {Gong, X and De, Paola A and Angeli, D and Strbac, G},
doi = {10.1016/j.energy.2019.116153},
journal = {Energy},
pages = {1--12},
title = {A game-theoretic approach for price-based coordination of flexible devices operating in integrated energy-reserve markets},
url = {http://dx.doi.org/10.1016/j.energy.2019.116153},
volume = {189},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper presents a novel distributed control strategy for large scale deployment of demand response. In the considered framework, large populations of storage devices and electric vehicles (EVs) participate to an integrated energy-reserve market. They react to prices and autonomously schedule their operation in order to optimize their own objective functions. The price signals are obtained through the resolution of an optimal power flow problem that explicitly takes into account the impact of demand response on the optimal power dispatch and reserve procurement of committed generation. Differently from previous approaches, the adopted game-theoretic framework provides rigorous theoretical guarantees of convergence and optimality of the proposed control scheme in a multi-price setup that includes ancillary services. The performance of the coordination scheme is also evaluated in simulation on the PJM 5-bus system, demonstrating its capability to flatten demand profiles and reduce the costs of generators and flexible devices.
AU - Gong,X
AU - De,Paola A
AU - Angeli,D
AU - Strbac,G
DO - 10.1016/j.energy.2019.116153
EP - 12
PY - 2019///
SN - 0360-5442
SP - 1
TI - A game-theoretic approach for price-based coordination of flexible devices operating in integrated energy-reserve markets
T2 - Energy
UR - http://dx.doi.org/10.1016/j.energy.2019.116153
UR - https://www.sciencedirect.com/science/article/pii/S0360544219318481?via%3Dihub
UR - http://hdl.handle.net/10044/1/74702
VL - 189
ER -