Imperial College London
Alternate

Professor Goran Strbac

Faculty of Engineering, Department of Electrical and Electronic Engineering

Chair in Electrical Energy Systems
 
 
 
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Contact

 

+44 (0)20 7594 6169g.strbac

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1101Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{de:2018:10.1109/CDC.2017.8263848,
author = {de, Paola A and Angeli, D and Strbac, G},
doi = {10.1109/CDC.2017.8263848},
publisher = {IEEE},
title = {Convergence and optimality of a new iterative price-based scheme for distributed coordination of flexible loads in the electricity market},
url = {http://dx.doi.org/10.1109/CDC.2017.8263848},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - This paper proposes a novel distributed control strategy for large-scale deployment of flexible demand. The devices are modelled as competing players that respond to iterative broadcasts of price signals, scheduling their power consumption to operate at minimum cost. By describing their power update at each price broadcast through a multi-valued discrete-time dynamical system and by applying Lyapunov techniques, it is shown that the proposed control strategy always converges to a stable final configuration, characterized as a Wardrop (or aggregative) equilibrium. It is also proved that such equilibrium is socially efficient and optimizes some global performance index of the system (e.g. minimizes total generation costs). These results are achieved under very general assumptions on the electricity price and for any penetration level of flexible demand. Practical implementation of the proposed scheme is discussed and tested in simulation on a future scenario of the UK-grid with large numbers of flexible loads.
AU  - de,Paola A
AU  - Angeli,D
AU  - Strbac,G
DO  - 10.1109/CDC.2017.8263848
PB  - IEEE
PY  - 2018///
TI  - Convergence and optimality of a new iterative price-based scheme for distributed coordination of flexible loads in the electricity market
UR  - http://dx.doi.org/10.1109/CDC.2017.8263848
UR  - http://hdl.handle.net/10044/1/56908
ER  -
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