نتایج جستجو برای: economic environmental load dispatch eed
تعداد نتایج: 795806 فیلتر نتایج به سال:
In this paper, an improved bacterial foraging algorithm (IBFA) is employed to solve economicemission dispatch (EED) problem. Regarding to more interest to renewable energy sources especially wind energy in recent years, it is necessary to use of incorporate wind power plants into EED problem. To consider realistic conditions, EED is included bi-objective of cost and NOx emission. The problems e...
Abstract: In traditional generation systems, energy from fuel is simply converted into electrical energy, while in the combined heat and power (CHP) systems, fuel energy, in addition to generating electricity, also generates thermal energy. Therefore, the efficiency of these systems is considerably higher than traditional systems, and this justifies the need for CHP systems. The emergence of CH...
Abstract: Economic load dispatch is the process of allocating the required load demand between the available generators in power system while satisfying all units and system equality and inequality constraints. Economic Load Dispatch solutions are found by solving the conventional methods such as lambda iteration, Gradient search method, Linear Programming and Dynamic Programming while at the s...
Environmental Economic Load Dispatch with Quadratic Fuel Cost Function Using Cuckoo Search Algorithm
In this paper, a Cuckoo Search Algorithm (CSA) is proposed for solving environmental economic load dispatch (EELD) problem with quadratic fuel function. Cuckoo Search is a new meta-heuristic algorithm inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species for solving optimization problems with promising results. ...
This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. ...
A distinctive optimization technique known as Ant Colony Optimization (ACO) has gained huge popularity in these recent years due to its flexibility and the ability to avoid reaching local optima. This optimization approach has become a candidate approach for many optimization problems. Unfortunately, this attractive algorithm suffers several downsides including stagnation and slow convergence t...
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