An Integrated Platform for Wind Plant Operations: From Atmosphere to Electrons to the Grid
Conference
·
OSTI ID:1669383
Under the Atmosphere to Electrons to Grid project (A2e2g), the National Renewable Energy Laboratory (NREL) is developing an optimization platform for wind plant operations. The platform merges forecasting tools with aerodynamic and economic models in order to identify optimal operating schedules and controller functions that will maximize a wind plant's value streams for energy and other grid services. In this presentation, we will describe functionalities of the platform. We will also discuss the implications the use of the platform might have for understanding and valuing the capabilities of wind resources for power system operations.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office (EE-4W)
- DOE Contract Number:
- AC36-08GO28308;
- OSTI ID:
- 1669383
- Report Number(s):
- NREL/PR-5D00-77097; MainId:26043; UUID:368aeb32-df9b-4f48-a1aa-2ea488def3fa; MainAdminID:13359
- Conference Information:
- Presented at the FERC Technical Conference Regarding Increasing Market and Planning Efficiency and Enhancing Resilience through Improved Software, 25 June 2020
- Country of Publication:
- United States
- Language:
- English
Similar Records
An Integrated Platform for Wind Power Plant Operations: From Atmosphere to Electrons to the Grid (A2e2g)
A2E2G (Atmosphere to Electrons to the Grid platform) [SWR-23-22]
Probabilistic Day-Ahead Forecasting Using an Analog Ensemble Approach for Wind Farm Grid Services
Technical Report
·
Tue Feb 28 23:00:00 EST 2023
·
OSTI ID:1962807
A2E2G (Atmosphere to Electrons to the Grid platform) [SWR-23-22]
Software
·
Wed Jun 14 20:00:00 EDT 2023
·
OSTI ID:code-108548
Probabilistic Day-Ahead Forecasting Using an Analog Ensemble Approach for Wind Farm Grid Services
Conference
·
Thu Sep 23 20:00:00 EDT 2021
·
OSTI ID:1823425