Imperial College London
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Professor Yujian Ye

Faculty of Engineering, Department of Electrical and Electronic Engineering

Honorary Lecturer
 
 
 
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Contact

 

yujian.ye11

 
 
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Location

 

1105Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ye:2022:10.13334/j.0258-8013.pcsee.210565,
author = {Ye, Y and Yuan, Q and Tang, Y and Strbac, G},
doi = {10.13334/j.0258-8013.pcsee.210565},
journal = {Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering},
pages = {1748--1759},
title = {Decentralized Coordination Parameters Optimization in Microgrids Mitigating Demand Response Synchronization Effect of Flexible Loads},
url = {http://dx.doi.org/10.13334/j.0258-8013.pcsee.210565},
volume = {42},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Despite its scalability and privacy advantages over centralized coordination schemes, decentralized price-based coordination in microgrids suffers from the demand response concentration effect, transferring flexible loads to low-price periods and yielding new demand peak, which hampers the efficient and secure operation of the system. Previous works have introduced auxiliary coordination parameters beyond electricity price to mitigate this effect. However, uniform values of these coordination parameters have been applied to all flexible loads, despite the effects of network constraints. To this end, this paper proposed an auxiliary parameters optimization for decentralized coordination in microgrids, applying optimal value for flexible loads in different nodes to mitigate demand response synchronization effect and minimize the total operational cost of the microgrid. Firstly, the decentralized coordination optimization model of microgrid and the demand response model of flexible loads, i.e. electric vehicles and smart appliances were established. Then a DRL-based approach to select the optimal values of auxiliary parameters was proposed, posing the parameter optimization problem in multi- dimensional continuous state and action spaces. Finally, simulation results demonstrated the effectiveness of the proposed optimization method.
AU  - Ye,Y
AU  - Yuan,Q
AU  - Tang,Y
AU  - Strbac,G
DO  - 10.13334/j.0258-8013.pcsee.210565
EP  - 1759
PY  - 2022///
SN  - 0258-8013
SP  - 1748
TI  - Decentralized Coordination Parameters Optimization in Microgrids Mitigating Demand Response Synchronization Effect of Flexible Loads
T2  - Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering
UR  - http://dx.doi.org/10.13334/j.0258-8013.pcsee.210565
VL  - 42
ER  -
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