نتایج جستجو برای: dynamic economic load dispatch
تعداد نتایج: 842369 فیلتر نتایج به سال:
Abstract: In recent years due to problems such as population growth and as a result increase in demand for electrical energy, power systems have been faced with new challenges that not existed in the past. One of the most important issues in modern power systems is economic load dispatch, which is a complex optimization problem with a large number of variables and constraints. Due to the comple...
Economic load dispatch (ELD) problem is a common task in the operational planning of a power system, which requires to be optimized. This paper presents an effective and reliable particle swarm optimization (PSO) technique for the economic load dispatch problem. The results have been demonstrated for ELD of standard 3-generator and 6-generator systems with and without consideration of transmiss...
This paper presents an algorithm for solving optimal power flow problem through the application of Differential Evolution (DE). Economic Dispatch is the process of allocating the required load demand between the available generation units such that the cost of operation is minimized. There have been many algorithms proposed for economic dispatch out of which a Differential Evolution (DE) is dis...
This paper presents a new efficient approach to Economic Load Dispatch (ELD) problems with non-convex cost functions using PSO-ANN. The practical ELD problems have non-smooth cost functions considering valve point loading effects with equality and inequality constraints that make the problem of finding the global optimum difficult using any traditional mathematical approach. Therefore, Particle...
this paper presents a biogeography-based optimization (bbo) algorithm to solve the economic loaddispatch (eld) problem with generator constraints in thermal plants. the applied method can solvethe eld problem with constraints like transmission losses, ramp rate limits, and prohibited operatingzones. biogeography is the science of the geographical distribution of biological species. the modelsof...
the gravitational search algorithm (gsa) is a novel optimization methodbased on the law of gravity and mass interactions. it has good ability to search forthe global optimum, but its searching speed is really slow in the last iterations. sothe hybridization of particle swarm optimization (pso) and gsa can resolve theaforementioned problem. in this paper, a modified pso, which the movement ofpar...
Biogeography Based Optimization (BBO) algorithm is a population-based algorithm based on biogeography concept, which uses the idea of the migration strategy of animals or other spices for solving optimization problems. Biogeography Based Optimization algorithm has a simple procedure to find the optimal solution for the non-smooth and non-convex problems through the steps of migration and mutati...
This paper presents a biogeographic-based optimization (BBO) algorithm to solve Economic Load Dispatch (ELD) problem with generator constraints in power plants. Biogeography is basically a science of geographical distribution of the biological species. The models of biogeography explain how an organism arises, immigrate from an environment to another and gets eliminated. This method is based on...
Economic load dispatch (ELD) problem between power plant units is formulated as a nonlinear optimization with continuous variables. The main target in this problem is optimum planning in power plant units with minimum cost while equal and non-equal constraints consisting load request and unit production capacity are followed. In this paper an effective method based on particle swarm algorithm o...
An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch
Economic dispatch is carried out at the energy control center to find out the optimal output of thermal generating units such that power balance criterion is met, unit operating limits are satisfied and the fuel cost is minimized. With growing environmental awareness and strict government regulations throughout the world, it has become essential to optimize not only the total fuel cost but also...
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