TY - JOUR
T1 - A Consumer-Oriented Incentive Strategy for EV Charging in Multiareas under Stochastic Risk-Constrained Scheduling Framework
AU - Li , Zekun
AU - Sun , Yi
AU - Yang, Hongyue
AU - Anvari-Moghaddam, Amjad
PY - 2022
Y1 - 2022
N2 - The distribution of electric vehicle (EV) charging areas is affected by customers' behaviors, which has strong temporal and spatial characteristics. Thus, some charging stations (CSs) are always busy, practically, whereas others are not, which leads to lower charging efficiency and profit. To solve this, a consumer-oriented charging incentive strategy for EVs in multiple regions is proposed, which can guide the transfer and alleviate the congestion of CSs so as to improve the economy of scheduling. In this article, by setting different charging prices in various regions, the price-based transfer model (PBTM) of EVs is constructed to describe price effects on transfer behaviors of EVs. Then, the PBTM is integrated into a stochastic scheduling scheme managed by the distribution system operator (DSO). Charging income and extra cost of line loss caused by charging are additionally considered to maximize the total profit of DSO when scheduling. Finally, the applicability and economic advantages of the proposed strategy are analyzed with different CSs' capacities as well as users' price sensitivity and regulation depth of EVs, and the influence of important parameters is investigated deeply.
AB - The distribution of electric vehicle (EV) charging areas is affected by customers' behaviors, which has strong temporal and spatial characteristics. Thus, some charging stations (CSs) are always busy, practically, whereas others are not, which leads to lower charging efficiency and profit. To solve this, a consumer-oriented charging incentive strategy for EVs in multiple regions is proposed, which can guide the transfer and alleviate the congestion of CSs so as to improve the economy of scheduling. In this article, by setting different charging prices in various regions, the price-based transfer model (PBTM) of EVs is constructed to describe price effects on transfer behaviors of EVs. Then, the PBTM is integrated into a stochastic scheduling scheme managed by the distribution system operator (DSO). Charging income and extra cost of line loss caused by charging are additionally considered to maximize the total profit of DSO when scheduling. Finally, the applicability and economic advantages of the proposed strategy are analyzed with different CSs' capacities as well as users' price sensitivity and regulation depth of EVs, and the influence of important parameters is investigated deeply.
KW - EVs
KW - consumer-oriented
KW - EV charging
KW - incentive strategy
KW - Stochastic scheduling
KW - Pricing
KW - Optimal scheduling
KW - Regulation
KW - Costs
KW - Job shop scheduling
KW - Stochastic processes
KW - stochastic scheduling
KW - multiple regions
KW - Electric vehicle charging
KW - Multiple regions
KW - Incentive strategy
KW - Consumer oriented
KW - Electric vehicles (EVs)
UR - http://www.scopus.com/inward/record.url?scp=85132530914&partnerID=8YFLogxK
U2 - 10.1109/TIA.2022.3174527
DO - 10.1109/TIA.2022.3174527
M3 - Journal article
SN - 0093-9994
VL - 58
SP - 5262
EP - 5274
JO - I E E E Transactions on Industry Applications
JF - I E E E Transactions on Industry Applications
IS - 4
ER -