Rising numbers of electric vehicles (EVs) along with increasing renewable electricity will create challenges for electricity grids, potentially leading to significant increases in peak load, overgeneration of renewables during low load periods, and increased ramping requirements. However, controlled EV charging could largely mitigate these issues, transforming EVs from a grid liability into a valuable asset. In this study, we model the evolution of the Midcontinent Independent System Operator (MISO) grid, located in the midwestern United States (U.S.) with large numbers of forecasted EVs and renewable generation by the late 2030s, over the period 2019-2039. Uncontrolled charging leads to peak load increases of up to 10% or 8 GW, and exacerbated ramping requirements. In contrast, controlled charging significantly ameliorates these challenges, with unidirectional ("V1G") charging largely avoiding peak load increases, filling valley loads and reducing ramp rates. Bidirectional ("V2G") charging provides much larger load flexibility to dramatically reduce peak loads and ramp rates. This study investigates EV load growth in the midwestern U.S. and the impact that different types of controlled charging can have on mitigating the grid challenges presented both by large numbers of EVs and increasing levels of renewable generation. Moreover, above similar to 3 million EVs, V2G charging can exhibit multi-day optimization behavior and very high load flexibility, suggesting the possibility of new load planning tools extending over multiple days. Such capabilities would provide significant aid in optimally scheduling resources with a larger percentage of intermittent renewables.
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Ford Motor Co, Res & Adv Engn, 2101 Village Rd, Dearborn, MI 48121 USATsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
Wallington, Timothy J.
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Lu, Xi
Tamor, Michael A.
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Ford Motor Co, Res & Adv Engn, 2101 Village Rd, Dearborn, MI 48121 USATsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
Tamor, Michael A.
McElroy, Michael B.
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Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USA
Harvard Univ, Dept Earth & Planetary Sci, 20 Oxford St, Cambridge, MA 02138 USATsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
McElroy, Michael B.
Zhang, K. Max
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Cornell Univ, Sibley Sch Mech & Aerosp Engn, Ithaca, NY 14853 USATsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
Zhang, K. Max
Nielsen, Chris P.
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Harvard Univ, John A Paulson Sch Engn & Appl Sci, Cambridge, MA 02138 USATsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
Nielsen, Chris P.
Hao, Jiming
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Tsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
State Environm Protect Key Lab Sources & Control, Beijing 100084, Peoples R ChinaTsinghua Univ, State Key Joint Lab Environm Simulat & Pollut Con, Sch Environm, Beijing 100084, Peoples R China
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Xiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, Sch Management, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Collaborat Innovat Ctr Energy Econ & Energy Polic, Sch Management, China Inst Studies Energy Policy, Xiamen 361005, Fujian, Peoples R China
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No Arizona Univ, Sch Forestry, 200 East Pine Knoll Dr,POB 15018, Flagstaff, AZ 86011 USANo Arizona Univ, Sch Forestry, 200 East Pine Knoll Dr,POB 15018, Flagstaff, AZ 86011 USA
Huang, Ching-Hsun
Bagdon, Benjamin A.
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Colorado State Univ, Nat Resource Ecol Lab, Dept 1499, Ft Collins, CO 80523 USANo Arizona Univ, Sch Forestry, 200 East Pine Knoll Dr,POB 15018, Flagstaff, AZ 86011 USA
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Rajarambapu Institute of Technology (affiliated to Shivaji University, Kolhapur)Rajarambapu Institute of Technology (affiliated to Shivaji University, Kolhapur)