Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Mühlpfordt, Tillmann"'
The increase in renewable energy sources (RESs), like wind or solar power, results in growinguncertainty also in transmission grids. This affects grid stability through fluctuating energy supplyand an increased probability of overloaded lines. One ke
Externí odkaz:
http://arxiv.org/abs/2212.03097
Solving the power flow problem in a distributed fashion empowers different grid operators to compute the overall grid state without having to share grid models-this is a practical problem to which industry does not have off-the-shelf answers. In coop
Externí odkaz:
http://arxiv.org/abs/2011.10322
Autor:
Botkin-Levy, Micah, Engelmann, Alexander, Mühlpfordt, Tillmann, Faulwasser, Timm, Almassalkhi, Mads
Due to their large power draws and increasing adoption rates, electric vehicles (EVs) will become a significant challenge for electric distribution grids. However, with proper charging control strategies, the challenge can be mitigated without the ne
Externí odkaz:
http://arxiv.org/abs/2007.10304
Polynomial chaos expansion (PCE) is an increasingly popular technique for uncertainty propagation and quantification in systems and control. Based on the theory of Hilbert spaces and orthogonal polynomials, PCE allows for a unifying mathematical fram
Externí odkaz:
http://arxiv.org/abs/2004.03970
In this contribution, we aim at presenting a gas-to-power benchmark problem that can be used for the simulation of electricity and gas networks in a time-dependent environment. Based on realistic data from the IEEE database and the GasLib suite, we d
Externí odkaz:
http://arxiv.org/abs/2002.02416
Publikováno v:
at-Automatisierungstechnik, 66(7), 2018, pp. 573-589
The Energiewende is a paradigm change that can be witnessed at latest since the political decision to step out of nuclear energy. Moreover, despite common roots in Electrical Engineering, the control community and the power systems community face a l
Externí odkaz:
http://arxiv.org/abs/1811.01163
Publikováno v:
In Sustainable Energy, Grids and Networks March 2023 33
The operation of power systems has become more challenging due to feed-in of volatile renewable energy sources. Chance-constrained optimal power flow (ccOPF) is one possibility to explicitly consider volatility via probabilistic uncertainties resulti
Externí odkaz:
http://arxiv.org/abs/1803.08711
Deregulated energy markets, demand forecasting, and the continuously increasing share of renewable energy sources call---among others---for a structured consideration of uncertainties in optimal power flow problems. The main challenge is to guarantee
Externí odkaz:
http://arxiv.org/abs/1803.08299
The present paper discusses the application of the recently proposed Augmented Lagrangian Alternating Direction Inexact Newton (ALADIN) method to non-convex AC Optimal Power Flow Problems (OPF) in a distributed fashion. In contrast to the often used
Externí odkaz:
http://arxiv.org/abs/1802.08603