Results 71 to 80 of about 3,300 (231)

An MI-SDP Model for Optimal Location and Sizing of Distributed Generators in DC Grids That Guarantees the Global Optimum

open access: yesApplied Sciences, 2020
This paper deals with a classical problem in power system analysis regarding the optimal location and sizing of distributed generators (DGs) in direct current (DC) distribution networks using the mathematical optimization.
Walter Gil-González   +3 more
doaj   +1 more source

Energy Flexibilization and Demand Response for a Novel Decentralized Power‐to‐Methanol Process

open access: yesChemie Ingenieur Technik, EarlyView.
This study presents the results of an optimization framework for the scheduling of a Power‐to‐methanol process coupled with an electrolyser, renewable energy sources and a battery. The optimal dynamic operating schedule is computed with different configurations and boundary conditions, showing the advantages of flexible operation.
Max Kollmer   +5 more
wiley   +1 more source

The Benjamin–Ono Equation in the Zero‐Dispersion Limit for Rational Initial Data: Generation of Dispersive Shock Waves

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone   +3 more
wiley   +1 more source

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang   +3 more
wiley   +1 more source

Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation

open access: yesMaterials Genome Engineering Advances, EarlyView.
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang   +6 more
wiley   +1 more source

Day-Ahead Coordinated Reactive Power Optimization Dispatching Based on Semidefinite Programming

open access: yesEnergies
With access to new energy sources, the problem of reactive power optimization and dispatching has become increasingly important for research. However, the reactive power optimization problem is a mixed integer nonlinear optimization problem.
Binbin Xu   +7 more
doaj   +1 more source

A Mixed-Integer Nonlinear Programming Model for Optimal Reconfiguration of DC Distribution Feeders

open access: yesEnergies, 2020
This paper deals with the optimal reconfiguration problem of DC distribution networks by proposing a new mixed-integer nonlinear programming (MINLP) formulation.
O. D. Montoya   +4 more
doaj   +1 more source

On Compressible Fluid Flows of Forchheimer‐Type in Rotating Heterogeneous Porous Media

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We study the dynamics of compressible fluids in rotating heterogeneous porous media. The fluid flow is of Forchheimer‐type and is subject to a mixed mass and volumetric flux boundary condition. The governing equations are reduced to a nonlinear partial differential equation for the pseudo‐pressure.
Emine Celik, Luan Hoang, Thinh Kieu
wiley   +1 more source

A Group Rotate-Vector Algorithm for Mixed-Variable Optimization Problems

open access: yesIEEE Access
Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using rotation and contraction of vectors. The current optimization
Zhongming Li   +3 more
doaj   +1 more source

Applications and algorithms for mixed integer nonlinear programming

open access: yesJournal of Physics: Conference Series, 2009
The mathematical modeling of systems often requires the use of both nonlinear and discrete components. Discrete decision variables model dichotomies, discontinuities, and general logical relationships. Nonlinear functions are required to accurately represent physical properties such as pressure, stress, temperature, and equilibrium.
Sven Leyffer   +4 more
openaire   +1 more source

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