Did ‘induced atmospheric vibration’ cause blackouts in #Europe? An #electrical engineer explains the phenomenon
#Portugal’s grid operator #REN was quoted as blaming the event on a rare phenomenon known as “induced #atmospheric #vibration”. REN has since reportedly refuted this.
But what is this vibration? And how can #energy systems be improved to mitigate the risk of widespread blackouts?
Somebody with decent chops has produced some excellent digests of events leading to similar, on Wikipedia. ( went down this rabbit hole quite recently)
I saw something celebratory go by about Spain managing a day powered totally by renewable energy sources recently, and yet today they've been hit by a blackout.
This highlights how, while renewable energy is an excellent step forward, a transition towards networks of microgrids is an important step the world needs to embrace for more resilient, robust and adaptable operation.
Solar has long been: 1. Individual homeowners investing $10k-$30k in rooftop systems, or 2. large utility-scale solar farms.
Does it have to be that way? Are there other options? in this podcast episode I discuss another way.
Listen on Spotify:
#solarpower #renewableenergy #sustainability #powergrid #electricalgrid #electricalutilities #sustainableenergy #sustainablefuture #sustainablepower #solarenergy
Tesla Veteran Drew Baglino Launches Heron Power to Revolutionize the Electrical Grid with Solid-State Transformers
#DrewBaglino #HeronPower #SolidStateTransformers #ElectricalGrid #RenewableEnergy #CleanTech #Tesla #EnergyInnovation #GridStability
Read Full Article :- https://www.techi.com/ex-tesla-exec-drew-baglino-launches-electrical-transformers/
#Trump struggles to comprehend pretty much everything. He's a fucking moron. That's what they do.
Accurate power load forecasting is essential for the efficient operation and planning of electrical grids, particularly given the increased variability and complexity introduced by renewable energy sources. This paper introduces GAT-LSTM, a hybrid model that combines Graph Attention Networks (GAT) and Long Short-Term Memory (LSTM) networks. A key innovation of the model is the incorporation of edge attributes, such as line capacities and efficiencies, into the attention mechanism, enabling it to dynamically capture spatial relationships grounded in grid-specific physical and operational constraints. Additionally, by employing an early fusion of spatial graph embeddings and temporal sequence features, the model effectively learns and predicts complex interactions between spatial dependencies and temporal patterns, providing a realistic representation of the dynamics of power grids. Experimental evaluations on the Brazilian Electricity System dataset demonstrate that the GAT-LSTM model significantly outperforms state-of-the-art models, achieving reductions of 21. 8% in MAE, 15. 9% in RMSE and 20. 2% in MAPE. These results underscore the robustness and adaptability of the GAT-LSTM model, establishing it as a powerful tool for applications in grid management and energy planning.
The U.S. Department of Energy recently announced it will put $360 million toward a project to create a new link between the Texas power grid, which operates independently from its neighbors, and other grids in the Southeast.
#EnergyEnvironment #Infrastructure #News #ElectricalGrid #Ercot #KUT #TexasGrid
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Doug Bostrom
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