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{De:2018:10.1080/23307706.2017.1355274,
author = {De, Paola A and Angeli, D and Strbac, G},
doi = {10.1080/23307706.2017.1355274},
journal = {Journal of Control and Decision},
pages = {164--194},
title = {Distributed schemes for efficient deployment of price-responsive demand with partial flexibility},
url = {http://dx.doi.org/10.1080/23307706.2017.1355274},
volume = {5},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - This paper presents novel methodologies for efficient deployment of flexible demand. Large populations of price-responsive loads are coordinated through a price signal and a power constraint broadcast by a central entity. Such quantities are designed in order to minimise a global objective function (e.g. total generation costs) and ensure a one-step convergence to a stable solution, characterised as a Nash equilibrium. Conditions for the sought equilibrium are preliminarily expressed as monotonicity of demand profiles under reordered coordinates and then they are imposed as constraints of a global optimisation, whose solution is calculated numerically. To reduce the computational complexity of the problem in scenarios with high penetration of flexible demand, clustering of the appliances is introduced. The global properties of the final stable solution and its optimality with respect to the task times of the appliances are analysed both theoretically and through simulation results.
AU - De,Paola A
AU - Angeli,D
AU - Strbac,G
DO - 10.1080/23307706.2017.1355274
EP - 194
PY - 2018///
SN - 2330-7706
SP - 164
TI - Distributed schemes for efficient deployment of price-responsive demand with partial flexibility
T2 - Journal of Control and Decision
UR - http://dx.doi.org/10.1080/23307706.2017.1355274
UR - http://hdl.handle.net/10044/1/56907
VL - 5
ER -