Green Hydrogen: AI-Powered Roadmap outlines a strategic approach to integrate Green Hydrogen with AI and Smart Microgrids for a sustainable, efficient energy future, focusing on innovation, community empowerment, and environmental stewardship.
A virtual battery (VB) model is proposed in this paper to facilitate in the management of a smart microgrid. A cluster of controllable load and generations (CLGs) is referred to as VB, and it operates similarly as the battery storage that reduces the size of the energy storage device (ESS). Aggregators use the VB to distribute power among CLGs when the grid has excess or shortage capacity. The management of a microgrid with renewable energy instability and VB is a difficult problem; as a result, this proposed study introduces adaptive robust optimization (ARO) for unit commitment (UC) problems in microgrids that takes VB into account. Three separate UC cases are depicted in the proposed scheme. Case 1 treats only optimization and deterministic UC problem for the day ahead forecasted load; Case 2 discloses the UC with treating robust optimization, which considers forested reference day ahead load utilizing robust constraints. Case 3 emphasizes real-time load considering the worst uncert
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