Using AI Load Management for Microgrids
- Oct 29, 2021 2:51 pm GMT
With more DERs coming into action, how to manage them is an issue for the owners of the system. Microgrids are valuable assets, but optimizing their operations is not easy, especially where they interface with the existing, conventional grid network.
Microgrids can supplement the grid when it is carrying too much load, contributing energy and services and receiving revenue in return. For example, when the network is in near to demand exceeding supply, such as when wind and solar resources are insufficient, or when there is a heavy load on a cold evening in winter.
Planning and managing microgrids can be complex because they operate within a constantly changing ecosystem. Microgrids act dynamically, using the optimal mix of resources, which changes based on fuel availability, pricing, emissions and other factors. This is made more complex because they have to navigate dynamic energy markets, which pose price opportunities and challenges. They also have to balance sometimes unpredictable energy demand and intermittent forms of renewable supply, both within their own systems and on the grid.
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