Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion
Abstract The disordered charging of electric vehicles (EVs) may result in transmission congestion during the peak load period; therefore, a nodal dynamic charging price (NDCP) strategy is proposed to schedule the charging activity of regional electric vehicle agents (REVAs) to manage congestion. REV...
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2021-10-01
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Series: | IET Smart Grid |
Online Access: | https://doi.org/10.1049/stg2.12025 |
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doaj-41f38215cf0d409790c1e61c1c214db82021-09-13T04:17:16ZengWileyIET Smart Grid2515-29472021-10-014546147310.1049/stg2.12025Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestionQian Zhang0Tao Sun1Zhuwei Ding2Chunyan Li3State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing, People's Republic of China Chongqing ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing, People's Republic of China Chongqing ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing, People's Republic of China Chongqing ChinaState Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University, Chongqing, People's Republic of China Chongqing ChinaAbstract The disordered charging of electric vehicles (EVs) may result in transmission congestion during the peak load period; therefore, a nodal dynamic charging price (NDCP) strategy is proposed to schedule the charging activity of regional electric vehicle agents (REVAs) to manage congestion. REVA is responsible for meeting the charging demand of users at a minimum charging cost, while the grid aims at minimising the congestion management cost and regulates the charging price of different nodes. The Stackelberg game theory is used to model the negotiation process of charging price, and the congestion contribution index is proposed to determine the congestion cost that the user side should be allocated. The proposed approach is implemented on a modified IEEE 30 bus system, and the results show that the congestion caused by EVs is reduced effectively, while the charging cost and congestion cost are also optimised.https://doi.org/10.1049/stg2.12025 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Qian Zhang Tao Sun Zhuwei Ding Chunyan Li |
spellingShingle |
Qian Zhang Tao Sun Zhuwei Ding Chunyan Li Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion IET Smart Grid |
author_facet |
Qian Zhang Tao Sun Zhuwei Ding Chunyan Li |
author_sort |
Qian Zhang |
title |
Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion |
title_short |
Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion |
title_full |
Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion |
title_fullStr |
Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion |
title_full_unstemmed |
Nodal dynamic charging price formulation for electric vehicle through the Stackelberg game considering grid congestion |
title_sort |
nodal dynamic charging price formulation for electric vehicle through the stackelberg game considering grid congestion |
publisher |
Wiley |
series |
IET Smart Grid |
issn |
2515-2947 |
publishDate |
2021-10-01 |
description |
Abstract The disordered charging of electric vehicles (EVs) may result in transmission congestion during the peak load period; therefore, a nodal dynamic charging price (NDCP) strategy is proposed to schedule the charging activity of regional electric vehicle agents (REVAs) to manage congestion. REVA is responsible for meeting the charging demand of users at a minimum charging cost, while the grid aims at minimising the congestion management cost and regulates the charging price of different nodes. The Stackelberg game theory is used to model the negotiation process of charging price, and the congestion contribution index is proposed to determine the congestion cost that the user side should be allocated. The proposed approach is implemented on a modified IEEE 30 bus system, and the results show that the congestion caused by EVs is reduced effectively, while the charging cost and congestion cost are also optimised. |
url |
https://doi.org/10.1049/stg2.12025 |
work_keys_str_mv |
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1717381497654083584 |