Abstract
With the emergence of the smart inverter, EV charging stations have a tremendous potential to provide ancillary services to power distribution grids such as increasing the system capacity, reducing the system losses, and enhancing the system voltage profile. These inverters can be allowed to inject reactive power into the grid for voltage regulation, i.e., smoothing voltage fluctuations due to the variation of demands and also renewable generations. To our best knowledge, few works are conducted to analyze the effect of the EV charging station inverters on voltage regulation. In this paper, how EV charging station inverters can participate in voltage regulation formulated as an optimization problem. A game-theoretic machine learning framework is proposed to design a decentralized Volt-Var control strategy. The proposed framework and algorithm are validated on the Southern California Edison 47-bus system.
| Original language | English (US) |
|---|---|
| Title of host publication | 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 604-608 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728146294 |
| DOIs | |
| State | Published - Jun 2020 |
| Event | 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 - Chicago, United States Duration: Jun 23 2020 → Jun 26 2020 |
Publication series
| Name | 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 |
|---|
Conference
| Conference | 2020 IEEE Transportation Electrification Conference and Expo, ITEC 2020 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 6/23/20 → 6/26/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Automotive Engineering
- Transportation
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