Autonomous Energy Grids: Preprint
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
With much higher levels of distributed energy resources - variable generation, energy storage, and controllable loads just to mention a few - being deployed into power systems, the data deluge from pervasive metering of energy grids, and the shaping of multi-level ancillary-service markets, current frameworks to monitoring, controlling, and optimizing large-scale energy systems are becoming increasingly inadequate. This position paper outlines the concept of 'Autonomous Energy Grids' (AEGs) - systems that are supported by a scalable, reconfigurable, and self-organizing information and control infrastructure, can be extremely secure and resilient (self-healing), and self-optimize themselves in real-time for economic and reliable performance while systematically integrating energy in all forms. AEGs rely on scalable, self-configuring cellular building blocks that ensure that each 'cell' can self-optimize when isolated from a larger grid as well as partaking in the optimal operation of a larger grid when interconnected. To realize this vision, this paper describes the concepts and key research directions in the broad domains of optimization theory, control theory, big-data analytics, and complex system modeling that will be necessary to realize the AEG vision.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1399662
- Report Number(s):
- NREL/CP-5D00-68712
- Resource Relation:
- Conference: To be presented at the Hawaii International Conference on System Sciences, 3-6 January 2018, Waikoloa, Hawaii
- Country of Publication:
- United States
- Language:
- English
Similar Records
Cyber-enabled grids: Shaping future energy systems
Universal Passive Synchronization Method for Grid-Forming Inverters Without Mode Transition: Preprint