نتایج جستجو برای: optimal power flow opf
تعداد نتایج: 1266688 فیلتر نتایج به سال:
MATLAB software is used for developing a proposed algorithm and finding the optimal location of FACTS device. Optimal power flow (OPF) problems include many control parameters in system network. This paper novel Ameliorated Ant Lion Optimization (AALO) Algorithm. To improve performance hybrid device named Generalized Interline Power Flow Controller (GIPFC) has been proposed. allocation LSZ (Leh...
A Linear Programming Method Based Optimal Power Flow Problem for Iraqi Extra High Voltage Grid (EHV)
The objective of an Optimal Power Flow (OPF) algorithm is to find steady state operation point which minimizes generation cost, loss etc. while maintaining acceptable system performance in terms limits on generators real and reactive powers, line flow OPF solution includes function. A common function concerns the active power cost. Linear programming method proposed solve problem. Programming (...
In this paper variation of spot price and total profits of the generating companies’ through wholesale electricity trading are discussed with and without Central Generating Stations (CGS) share and seasonal variations are also considered. It demonstrates how proper analysis of generators’ efficiencies and capabilities, types of generators owned, fuel costs, transmission losses and settling pric...
This paper compares two different Optimal Power Flow (OPF) formulations that consider voltage security in power systems. The techniques are both based on multi-objective optimization methodologies, so that operating costs and losses can be minimized while maximizing the “distance” to voltage collapse. The techniques are described in detail and compared to study their similarities, as well as a...
Reactive power planning is an optimization problem. Solving this problem requires finding an optimal solution that minimizes an objective function while satisfying certain constraints. This paper proposes an approach for optimum reactive power dispatch throughout the power network, using the Genetic Algorithms (GA). Varying the crossover probability rate Pc and mutation probability rate Pm, the...
In this paper, a combinational optimization algorithm is introduced to obtain the best size and location of Static Compensator (STATCOM) in power systems. Its main contribution is considering contingency analysis where lines outages may lead to infeasible solutions especially at peak loads and it commonly can be vanished by load-shedding. The objective of the proposed algorithm is firstly to pr...
Optimal power flow (OPF) problem has already been attempted as a static optimization problem, by adopting conventional gradient-based methods and more recently, no conventional ones, such as evolutionary algorithms. However, as the loads, generation capacities and network connections in a power system are always in a changing status, these staticoriented methods are of limited use for this issu...
Growing demand for electric power seems to necessitate new transmission lines, but obstacles to building these new lines are often extremely high. At the same time there is a national push for a “smarter” bulk electric grid, one that is more controllable and flexible. Optimal transmission switching is a straightforward way to leverage grid controllability: to make better use of the existing sys...
This paper presents congestion management in deregulated power systems. In a deregulated environment, every buyer wants to buy power from the cheapest generator available, irrespective of relative geographical location of buyer and seller. As a consequence of this, the transmission corridors evacuating the power of cheaper generators would get overloaded if all such transactions are approved. C...
In this paper, new optimal power flow (OPF) techniques are proposed based on multi-objective methodologies to optimize active and reactive power dispatch while maximizing voltage security in power systems. The use of interior point methods together with goal programming and linearly combined objective functions as the basic optimization techniques is explained in detail. The effects of minimizi...
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