Collaborative Research: Learning for Safe and Secure Operation of Grid-Edge Resources — NSF Award to University of California-Rive
This NSF project aims to address the challenges and opportunities presented by the rapid proliferation of Grid Edge Resources (GERs) in modern power systems. Examples include distributed generators and smart inverters, smart thermostatically controlled loads, electric vehicles, and battery energy storage systems. Since
| Award title | Collaborative Research: Learning for Safe and Secure Operation of Grid-Edge Resources |
|---|---|
| Award ID | 2330155 |
| Awardee | University of California-Riverside |
| City | RIVERSIDE |
| State | CA |
| Amount obligated | $145,871 |
| Principal investigator | Amir-Hamed Mohsenian-Rad |
| Program | EPCL: Energy, Power, Control, |
| Start date | 09/01/2024 |
| Abstract | This NSF project aims to address the challenges and opportunities presented by the rapid proliferation of Grid Edge Resources (GERs) in modern power systems. Examples include distributed generators and smart inverters, smart thermostatically controlled loads, electric vehicles, and battery energy storage systems. Since GERs operate beyond traditional utility network boundaries and are controlled by customers, they introduce variable levels of controllability, observability, and vulnerability to |
| Source | NSF Awards |
$799/mo
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