Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging
This article addresses the problem of estimating the potential economic and environmental gains for utility grids of shifting the electric-vehicle (EV) charging time and location. The current literature on shifting EV charging loads has been limited by real-world data availability and has typically...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/24/8204 |
| _version_ | 1797505105280368640 |
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| author | Soomin Woo Zhe Fu Elpiniki Apostolaki-Iosifidou Timothy E. Lipman |
| author_facet | Soomin Woo Zhe Fu Elpiniki Apostolaki-Iosifidou Timothy E. Lipman |
| author_sort | Soomin Woo |
| collection | DOAJ |
| description | This article addresses the problem of estimating the potential economic and environmental gains for utility grids of shifting the electric-vehicle (EV) charging time and location. The current literature on shifting EV charging loads has been limited by real-world data availability and has typically therefore relied on simulated studies. Collaborating with a large automobile company and a major utility grid operator in California, this research used actual EV operational data and grid-operation data including locational marginal prices, marginal-grid-emission-rate data, and renewable-energy-generation ratio information. With assumptions about the future potential availability of EV charging stations, this research estimated the maximum potential gains in the economic and environmental performance of the electrical-grid operation by optimizing the time and location of EV charging. For the problem of rescheduling the charging sessions, the optimization models and objective functions were specifically designed based on the information available to the energy system operators that influence their economic and environmental performance like grid congestion, emissions, and renewable energy. The results present the maximum potential in reducing the operational costs and the marginal emissions and increasing the renewable energy use in the utility grid by rescheduling the EV charging load with respect to its time and location. The analysis showed that the objective functions of minimizing the marginal cost or the marginal emission rate performed the best overall. |
| first_indexed | 2024-03-10T04:13:51Z |
| format | Article |
| id | doaj.art-2faf1f2243d341c2b9b56a358f1ec046 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:13:51Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-2faf1f2243d341c2b9b56a358f1ec0462023-11-23T08:04:00ZengMDPI AGEnergies1996-10732021-12-011424820410.3390/en14248204Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle ChargingSoomin Woo0Zhe Fu1Elpiniki Apostolaki-Iosifidou2Timothy E. Lipman3Department of Civil and Environmental Engineering, University of California-Berkeley, Berkeley, CA 94720, USADepartment of Civil and Environmental Engineering, University of California-Berkeley, Berkeley, CA 94720, USATransportation Sustainability Research Center, University of California-Berkeley, Berkeley, CA 94704, USATransportation Sustainability Research Center, University of California-Berkeley, Berkeley, CA 94704, USAThis article addresses the problem of estimating the potential economic and environmental gains for utility grids of shifting the electric-vehicle (EV) charging time and location. The current literature on shifting EV charging loads has been limited by real-world data availability and has typically therefore relied on simulated studies. Collaborating with a large automobile company and a major utility grid operator in California, this research used actual EV operational data and grid-operation data including locational marginal prices, marginal-grid-emission-rate data, and renewable-energy-generation ratio information. With assumptions about the future potential availability of EV charging stations, this research estimated the maximum potential gains in the economic and environmental performance of the electrical-grid operation by optimizing the time and location of EV charging. For the problem of rescheduling the charging sessions, the optimization models and objective functions were specifically designed based on the information available to the energy system operators that influence their economic and environmental performance like grid congestion, emissions, and renewable energy. The results present the maximum potential in reducing the operational costs and the marginal emissions and increasing the renewable energy use in the utility grid by rescheduling the EV charging load with respect to its time and location. The analysis showed that the objective functions of minimizing the marginal cost or the marginal emission rate performed the best overall.https://www.mdpi.com/1996-1073/14/24/8204electric vehiclecharge managementsmart chargingvehicle grid integrationload shiftingmarginal emissions |
| spellingShingle | Soomin Woo Zhe Fu Elpiniki Apostolaki-Iosifidou Timothy E. Lipman Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging Energies electric vehicle charge management smart charging vehicle grid integration load shifting marginal emissions |
| title | Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging |
| title_full | Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging |
| title_fullStr | Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging |
| title_full_unstemmed | Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging |
| title_short | Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging |
| title_sort | economic and environmental benefits for electricity grids from spatiotemporal optimization of electric vehicle charging |
| topic | electric vehicle charge management smart charging vehicle grid integration load shifting marginal emissions |
| url | https://www.mdpi.com/1996-1073/14/24/8204 |
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