TY - JOUR
T1 - A Distributed P and Q Provision-Based Voltage Regulation Scheme by Incentivized EV Fleet Charging for Resistive Distribution Networks
AU - Hu, Qian
AU - Bu, Siqi
AU - Terzija, Vladimir
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China for the Research Project under Grant 51807171; in part by the Guangdong Science and Technology Department for the Research Project under Grant 2019A1515011226; in part by the Hong Kong Research Grant Council for the Research Projects under Grant 15200418 and Grant 15219619; and in part by the Indian Ministry of Human Resource Development for the Scheme for Promotion of Academic and Research Collaboration (SPARC) Research Project under Grant P921.
Publisher Copyright:
© 2015 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - The capability of onboard bidirectional chargers to deliver both real power and reactive power makes electric vehicles (EVs) suitable candidates for the voltage regulation in the distribution network considering the higher $R/X$ ratio of distribution lines. This article proposes a distributed voltage regulation scheme for dominantly resistive distribution networks through coordinated EV charging/discharging. In the optimal planning stage, the maximal profit of each EV user for the regulation provision is guaranteed, while the driving need can be satisfied. An optimal charging model is proposed to plan the total available $P$ and $Q$ , and a parameter 'involvement level' is introduced for the fair pricing of participating EV users. In the regulation stage, an adaptive voltage sensitivity coefficient is developed to estimate the amount of required power for voltage regulation. A novel parallel consensus sharing strategy is designed so that the local power dispatch decision can be made by each EV through information sharing between neighboring buses. The backup support from the local energy storage system (ESS) can be activated under the emergency scenario due to communication failure and insufficient EV resources. Simulation results demonstrate that the proposed scheme can effectively and robustly regulate the voltage and is scalable to different network topologies.
AB - The capability of onboard bidirectional chargers to deliver both real power and reactive power makes electric vehicles (EVs) suitable candidates for the voltage regulation in the distribution network considering the higher $R/X$ ratio of distribution lines. This article proposes a distributed voltage regulation scheme for dominantly resistive distribution networks through coordinated EV charging/discharging. In the optimal planning stage, the maximal profit of each EV user for the regulation provision is guaranteed, while the driving need can be satisfied. An optimal charging model is proposed to plan the total available $P$ and $Q$ , and a parameter 'involvement level' is introduced for the fair pricing of participating EV users. In the regulation stage, an adaptive voltage sensitivity coefficient is developed to estimate the amount of required power for voltage regulation. A novel parallel consensus sharing strategy is designed so that the local power dispatch decision can be made by each EV through information sharing between neighboring buses. The backup support from the local energy storage system (ESS) can be activated under the emergency scenario due to communication failure and insufficient EV resources. Simulation results demonstrate that the proposed scheme can effectively and robustly regulate the voltage and is scalable to different network topologies.
KW - Distributed voltage regulation
KW - distribution network
KW - electric vehicle (EV) fleets
KW - optimal charging
KW - vehicle-to-grid (V2G)
UR - http://www.scopus.com/inward/record.url?scp=85103236198&partnerID=8YFLogxK
U2 - 10.1109/TTE.2021.3068270
DO - 10.1109/TTE.2021.3068270
M3 - Journal article
AN - SCOPUS:85103236198
SN - 2332-7782
VL - 7
SP - 2376
EP - 2389
JO - IEEE Transactions on Transportation Electrification
JF - IEEE Transactions on Transportation Electrification
IS - 4
ER -