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Tuning and Testing an Online Feedback Optimization Controller to Provide Curative Distribution Grid Flexibility
A flexibility request from the transmission grid to a distribution grid then needs to be split up onto the different flexibility providing units (FPU) in the distribution grid.
Providing Curative Distribution Grid Flexibility Using Online Feedback Optimization
Distribution grid flexibility is discussed as a possible measure in curative system operation, yielding a need for an efficient and robust coordination mechanism for the joint flexibility provision by individual units to the transmission grid.
Noise-injected analog Ising machines enable ultrafast statistical sampling and machine learning
Ising machines are a promising non-von-Neumann computational concept for neural network training and combinatorial optimization.
Order-of-magnitude differences in computational performance of analog Ising machines induced by the choice of nonlinearity
By simulating Ising machines with polynomial, periodic, sigmoid and clipped transfer functions and benchmarking them with MaxCut optimization problems, we find the choice of transfer function to have a significant influence on the calculation time and solution quality.
Applied Physics Emerging Technologies Computational Physics
