نتایج جستجو برای: probabilistic optimal power flow
تعداد نتایج: 1324880 فیلتر نتایج به سال:
This paper narrates an application of Particle Swarm Optimization (PSO) for economic load dispatch. The main objective function is to optimize the Fuel cost and Active power loss by considering the power flows within the allowable limits. The PSO is simple in concept and easy in implementation. It does not require any derivative information, sure and fast convergence. Moreover, the problem can ...
Optimal power flow (OPF) over power transmission networks poses challenging large-scale nonlinear optimization problems, which involve a large number of quadratic equality and indefinite quadratic inequality constraints. These computationally intractable constraints are often expressed by linear constraints plus matrix additional rank-one constraints on the outer products of the voltage vectors...
The objective of this work was to develop a new design of an intake manifold through a 1D simulation. It is quite familiar that a duly designed intake manifold is essential for the optimal performance of an internal combustion engine. Air flow inside the intake manifold is one of the important factors, which governs the engine performance and emissions. Hence the flow phenomenon inside the i...
This paper aims to design an optimal distributed multi-agent controller for load frequency control and optimal power flow purposes. The controller parameters are optimized using Grey Wolf Optimization (GWO) algorithm. The designed optimal distributed controller is employed for load frequency control in the IEEE 30-bus test system with six generators. The controller of each generator is consider...
In this paper, solving optimal power flow problem has been investigated by using hybrid particle swarm optimization and Nelder Mead Algorithms. The goal of combining Nelder-Mead (NM) simplex method and particle swarm optimization (PSO) is to integrate their advantages and avoid their disadvantages. NM simplex method is a very efficient local search procedure but its convergence is extremely sen...
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