This paper presents a solution of the economic load dispatch (ELD) problem with security constraints of power systems, using an iterative technique based on the linear programming method, called “Successive Linear Programming” (SLP). The objective is to minimize the nonlinear function which is the total fuel cost of thermal generating units, while taking into account the security constraints (p...

This paper highlights the improved Adaptive Tumbling Bacterial Foraging Optimization (ATBFO) to grant better solution particularly in emission economic power dispatch issue. The proposed methodology simply takes care in solving non-convex power system issues along maintaining the requirement of all equipped constraints for healthy power delivery operation. The performances are evaluated with di...

The purpose of this paper is to evaluate the performance of two approaches based on Vector Evaluated Particle Swarm Optimization (VEPSO) algorithm in two real world applications, which are the environmental economic dispatch problem and the optimization of a reinsurance contract portfolio. The two tested algorithms are the canonical VEPSO and a new version called VEPSO-N, where in the last one ...

Harmful ecological effects caused by the emission of gaseous pollutants like sulfur dioxide (SO2) and nitrogen oxides (NOx), can be reduced by load adequate distribution between power plants. However, this leads to a noticeable increase in their operating cost. In order to eliminate this conflict, and to study the trade-off relation between fuel cost and emissions, an approach to solve this mul...

In this paper particle swarm optimization (PSO) algorithm is proposed to optimize Combined Economic emission Dispatch Problem (CEEDP)of thermal units. Combined Economic emission Dispatch Problem (CEEDP is used to minimize both total fuel cost of generation and the emission of toxic gases of the thermal generating units simultaneously while satisfying the load demand and constraints of the syste...

This paper presents an efficient Water Evaporation Optimization algorithm (WEO) is proposed to solve a Dynamic Economic Dispatch problem (DED). The dynamic dispatch problem differs from the static economic dispatch problem by incorporating generator spinning reserve, ramp rate limits, and valve point loading and transmission losses. The proposed water evaporation optimization algorithm is based...

In this paper, an Interactive Compromise Approach with Particle Swarm Optimization(ICA-PSO) is presented to solve the Economic Emission Dispatch(EED) problem. The cost function and emission function are modeled as the nonsmooth functions, respectively. The bi-objective including both the minimization of cost and emission is formulated in this paper. ICA-PSO is proposed to solve EED problem for ...

In recent years increasing of thermal power plants air pollution and concentration of carbon dioxide emission leads to the global warming. This paper solves the economic dispatch problem includes the dispatch of systems to the minimize carbon dioxide emissions, as well as to achieve the minimum fuel cost. This paper proposed a lambda based approach for solving the Combined Economic and Emission...

The task of efficient vehicles dispatching in real time becomes very important for service and transportation companies. In general, dispatch management requires complex perceptual and cognitive abilities applied under a high level of stress; the development of a knowledgebased expert system for dispatch management reduces both stress and risk in decision-making and increases economic efficienc...