TY - JOUR
T1 - Real-time agent-based control of plug-in electric vehicles for voltage and thermal management of LV networks
T2 - Formulation and HIL validation
AU - Veloso, César García
AU - Rauma, Kalle
AU - Orjuela, Julián Fernández
AU - Rehtanz, Christian
N1 - Funding Information:
This work was the result of a Master Thesis project submitted to both the Technical University of Catalonia (Spain) and KTH Royal Institute of Technology (Sweden) [25]. The authors extend their gratitude to the European Institute of Innovation and Technology (EIT) and InnoEnergy both for their financial support and encouragement.
Publisher Copyright:
© The Institution of Engineering and Technology 2020
PY - 2020/6/5
Y1 - 2020/6/5
N2 - Ensuring a stable and reliable operation of current and future distribution networks represents a major challenge for system operators aggravated by the global proliferation of plug-in electric vehicles (PEVs). While the introduction of a controlled charging process would be advantageous to minimise the impacts PEVs cause in the system, a suitable, efficient and ready to be implemented solution is still missing. The present work addresses this issue by proposing a smart charging management solution capable to simultaneously combat the main network impacts derived from the energy needs of the vehicles. This is done by means of an agent-based hierarchical real-time algorithm which combines a local decentralised nodal voltage management with a centralised thermal control conceived to minimise the impact upon participating users. The effectiveness of the proposed system is tested both using a simulation environment considering multiple PEV penetration levels and employing commercially available charging stations and cars through hardware-in-the-loop simulations. The results reveal how all network violations are successfully attenuated by peak shaving the total aggregated charging demand and ensuring a correct system operation for all penetration scenarios while inflicting no impact on the participating users.
AB - Ensuring a stable and reliable operation of current and future distribution networks represents a major challenge for system operators aggravated by the global proliferation of plug-in electric vehicles (PEVs). While the introduction of a controlled charging process would be advantageous to minimise the impacts PEVs cause in the system, a suitable, efficient and ready to be implemented solution is still missing. The present work addresses this issue by proposing a smart charging management solution capable to simultaneously combat the main network impacts derived from the energy needs of the vehicles. This is done by means of an agent-based hierarchical real-time algorithm which combines a local decentralised nodal voltage management with a centralised thermal control conceived to minimise the impact upon participating users. The effectiveness of the proposed system is tested both using a simulation environment considering multiple PEV penetration levels and employing commercially available charging stations and cars through hardware-in-the-loop simulations. The results reveal how all network violations are successfully attenuated by peak shaving the total aggregated charging demand and ensuring a correct system operation for all penetration scenarios while inflicting no impact on the participating users.
UR - http://www.scopus.com/inward/record.url?scp=85085031613&partnerID=8YFLogxK
U2 - 10.1049/iet-gtd.2018.6547
DO - 10.1049/iet-gtd.2018.6547
M3 - Article
AN - SCOPUS:85085031613
SN - 1751-8687
VL - 14
SP - 2169
EP - 2180
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
IS - 11
ER -