2021
DOI: 10.21203/rs.3.rs-268782/v1
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Power Flow Adjustment for Smart Microgrid Based on Edge Computing and Deep Reinforcement Learning

Abstract: As one of the core components that improve transportation, generation, delivery, and electricity consumption in terms of protection and reliability, smart grid can provide full visibility and universal control of power assets and services, provide resilience to system anomalies and enable new ways to supply and trade resources in a coordinated manner. In current power grids, a large number of power supply and demand components, sensing and control devices generate lots of requirements, e.g., data perception, … Show more

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