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Optimization framework for efficient and robust renewable energy hub operation. [PDF]
Hosseina M +3 more
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Unified Parametric Optimization Framework for Microchannel Fin Geometries in High-Power Processor Cooling. [PDF]
Ataei A.
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Improved artificial hummingbird algorithm for electric vehicle charging station fast and slow charging location determination method. [PDF]
Fan S, Zeng X, Li L, Xu S.
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Minimization of Power Losses in Cooperating Manipulators
1991 American Control Conference, 1991The control of multiple manipulators handling a common object entails the solution of an underdetermined system of linear equations which represents the system’s dynamics. In order to choose an optimal solution to this problem, various approaches have been proposed: minimum internal force and minimum power, among others.
Nahon, M., Angeles, J.
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Reactive power control for real power-loss minimization
IEEE Computer Applications in Power, 1988An accurate and fast technique for real-time control of system voltage and reactive power of large-scale power systems is presented. The one-bus-away method has been modified to obtain accurate results with moderate computer requirements for online application to large-scale power networks.
M.A.H. El-Sayed +2 more
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Minimization of real power losses using reactive power control
Electric Power Systems Research, 1989Abstract Reactive power control in a power system is useful to improve the voltage profile and reduce the system power losses. The power loss is minimized with VAR sources as control variables (capacitors/inductors, SVSs and generator reactive powers) and variable transformer tap ratios. The constraints are on the bus voltage magnitudes.
R.P. Aggarwal, Yisheng Pan
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Induction motor drives with minimal power losses
Russian Electrical Engineering, 2012The goal is to synthesize a control system for an induction motor such as to ensure operation with minimal power losses. Standard nonlinearity and losses in the steel of the motor’s stator are taken into account in MatLab simulation. The proposed control system reduces the losses by up to 25% in comparison with classical scalar control.
A. S. Kosmodamianskii +2 more
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Loss Power Minimization Using Particle Swarm Optimization
The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006This paper presents a particle swarm optimization (PSO) as an efficient approach for loss reduction study. This issue can be formulated as a nonlinear optimization problem. The proposed approach employs the PSO algorithm for optimal setting of optimal power flow (OPF) based on loss minimization (LM) function.
A.A.A. Esmin, G. Lambert-Torres
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Power Losses Minimization considering Small-Signal Stability Constraint
2021 14th IEEE International Conference on Industry Applications (INDUSCON), 2021This paper proposes an optimization approach to solve the Small-Signal Constrained Optimal Power Flow (SSOPF) in transmission systems. The main goal is to minimize the active power losses taking the minimum damping ratio in closed-loop operation as a small-signal stability constraint.
Wesley Peres +2 more
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