Imperial College London

DrAdamHawkes

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Energy Systems
 
 
 
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Contact

 

+44 (0)20 7594 9300a.hawkes

 
 
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Assistant

 

Ms Quasirat Hasnat +44 (0)20 7594 7250

 
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Location

 

C502Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Zhang:2012:10.1016/j.eneco.2012.11.005,
author = {Zhang, D and Samsatli, NJ and Hawkes, AD and Brett, D and Shah, N and Papageorgiou, LG},
doi = {10.1016/j.eneco.2012.11.005},
journal = {Energy Economics},
title = {Fair electricity transfer price and unit capacity selection for microgrids},
url = {http://dx.doi.org/10.1016/j.eneco.2012.11.005},
volume = {In Press},
year = {2012}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Microgrids are defined as an area of electricity distribution network that can operate autonomously from the rest of the network. In order to achieve the best economic outcomes, the participants in a microgrid can benefit from cooperation in microgrid design and operation. In this paper, a mathematical programming formulation is presented for fair, optimised cost distribution amongst participants in a general microgrid. The proposed formulation is based on the Game-theory Nash bargaining solution approach for finding optimal multi-partner cost levels subject to given upper bounds on the equivalent annual costs. The microgrid planning problem concerning the fair electricity transfer price and unit capacity selection is first formulated as a mixed integer non-linear programming model. Then, a separable programming approach is applied to reform the resulting mixed integer non-linear programming model to a mixed integer linear programming form. The model is applied to a case study with a microgrid involving five participants.
AU - Zhang,D
AU - Samsatli,NJ
AU - Hawkes,AD
AU - Brett,D
AU - Shah,N
AU - Papageorgiou,LG
DO - 10.1016/j.eneco.2012.11.005
PY - 2012///
SN - 0140-9883
TI - Fair electricity transfer price and unit capacity selection for microgrids
T2 - Energy Economics
UR - http://dx.doi.org/10.1016/j.eneco.2012.11.005
VL - In Press
ER -