Results 41 to 50 of about 1,271,468 (199)
Algorithms, 2022 This paper addresses the problem of the power flow analysis of bipolar direct current (DC) networks considering unbalanced loads and the effect of a neutral wire, which may be solidly grounded or non-grounded.
Simón Sepúlveda-García +2 more
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A convex-relaxation based method for optimal water-power flow
Energy Reports, 2022 This paper proposes a convex reformulation for the non-linear optimal water-power flow (OWPF) problem to optimize the operation cost of the integrated electricity–water network (IEWN).
Xinyi Li +4 more
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Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization
Archives of Electrical Engineering, 2020 This paper presents the application of an improved ant colony optimization algorithm called mixed integer distributed ant colony optimization to optimize the power flow solution in power grids.
Vishnu Suresh +2 more
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Noise-resilient quantum power flow
iEnergy, 2023 Quantum power flow (QPF) offers an inspiring direction for overcoming the computation challenge of power flow through quantum computing. However, the practical implementation of existing QPF algorithms in today’s noisy-intermediate-scale quantum (NISQ ...
Fei Feng, Yi-Fan Zhou, Peng Zhang
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Frontiers in Physics, 2023 We consider the effective rheology of immiscible two-phase flow in porous media consisting of random mixtures of two types of grains having different wetting properties using a dynamic pore network model under steady-state flow conditions. Two immiscible
Hursanay Fyhn +2 more
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Energies, 2022 Data collection is more difficult in distribution network than transmission networks since the structure of distribution networks is more complex. As a result, data could be partly abnormal or missing, which cannot completely describe the operation ...
Chen Liang +5 more
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A Stochastic Model Predictive Control Method for Tie-Line Power Smoothing under Uncertainty
EnergiesWith the high proportion of distributed energy resource (DER) access in the distributed network, the tie-line power should be controlled and smoothed to minimize power flow fluctuations due to the uncertainty of DER.
Molin An, Xueshan Han, Tianguang Lu
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A Data-Driven Optimal Power Flow Model under Partial Observability
Zhongguo dianli, 2023 The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are mostly based on complete system measurement data.
Penghua LI, Zhuoran SONG, Wenchuan WU
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The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow [PDF]
arXiv.org, 2020 Despite strong connections through shared application areas, research efforts on power market optimization (e.g., unit commitment) and power network optimization (e.g., optimal power flow) remain largely independent. A notable illustration of this is the
Carleton Coffrin +3 more
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An online updated linear power flow model based on regression learning
IET Generation, Transmission & DistributionThe linear power flow (LPF) model is widely used in the optimization, operation, and control of distribution networks. These applications require the LPF model to be accurate, fast, and simple in order to simplify calculations as well as to efficiently ...
Molin An, Tianguang Lu, Xueshan Han
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