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Found 21 papers, 3 papers with code
Synchronized states of power grids and oscillator networks by convex optimization
Synchronization is essential for the operation of AC power systems: All generators in the power grid must rotate with fixed relative phases to enable a steady flow of electric power.
Multivariate Scenario Generation of Day-Ahead Electricity Prices using Normalizing Flows
Additionally, our analysis highlights how our improvements towards adaptations in changing regimes allow the normalizing flow to adapt to changing market conditions and enable continued sampling of high-quality day-ahead price scenarios.
Probabilistic Forecasting of Day-Ahead Electricity Prices and their Volatility with LSTMs
Accurate forecasts of electricity prices are crucial for the management of electric power systems and the development of smart applications.
Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
The transition to a sustainable energy supply challenges the operation of electric power systems in manifold ways.
Regulatory Changes in Power Systems Explored with Explainable Artificial Intelligence
Therefore, the electrical power grid's operation and energy and balancing markets are subject to strict regulations.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Stability bounds of droop-controlled inverters in power grid networks
First, we explore the stability of an inverter coupled to an infinite grid in an analytic fashion and uncover stability and instability regions.
Understanding electricity prices beyond the merit order principle using explainable AI
In perfect competition, the merit order principle describes that dispatchable power plants enter the market in the order of their marginal costs to meet the residual load, i. e. the difference of load and renewable generation.
Physics-inspired machine learning for power grid frequency modelling
Finally, we generate synthetic time series from the model, which successfully reproduce central characteristics of the grid frequency such as their heavy-tailed distribution.
Predicting Dynamic Stability from Static Features in Power Grid Models using Machine Learning
In this article we propose a combination of network science metrics and machine learning models to predict the risk of desynchronisation events.
Understanding Braess' Paradox in power grids
The ongoing energy transition requires power grid extensions to connect renewable generators to consumers and to transfer power among distant areas.
Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows
This work proposes a probabilistic modeling approach that models the intraday price difference to the day-ahead contracts.
Revealing interactions between HVDC cross-area flows and frequency stability with explainable AI
Here, we investigate the interaction of power imbalances - represented through the power grid frequency - and power flows on HVDC links between synchronous areas in Europe.
Change of persistence in European electricity spot prices
These markets are designed to balance excess or lack of power in short time periods, which leads to a large stochastic variability of the electricity prices.
Complexity and Persistence of Price Time Series of the European Electricity Spot Market
Electricity markets are central for the coordination of electric power generation.
Validation Methods for Energy Time Series Scenarios from Deep Generative Models
The design and operation of modern energy systems are heavily influenced by time-dependent and uncertain parameters, e. g., renewable electricity generation, load-demand, and electricity prices.
Secondary control activation analysed and predicted with explainable AI
Secondary control is key in restoring the power system to its reference following a disturbance.
Exploring deterministic frequency deviations with explainable AI
Deterministic frequency deviations (DFDs) critically affect power grid frequency quality and power system stability.
Revealing drivers and risks for power grid frequency stability with explainable AI
Stable operation of the electrical power system requires the power grid frequency to stay within strict operational limits.
Isolating the impact of trading on grid frequency fluctuations
While particularly large frequency deviations in 2017 are not as frequent as in 2011, large deviations are more likely to occur shortly after the trading instances.
How Decentral Smart Grid Control limits non-Gaussian power grid frequency fluctuations
Furthermore, we review a decentral smart grid control scheme to limit these fluctuations.
Predictability of Power Grid Frequency
The power grid frequency is the central observable in power system control, as it measures the balance of electrical supply and demand.
