The rational economic load dispatch can not only save the energy, but also improve efficiency of power systems. Therefore it is important to research economic load dispatch problem. However, The problem is a complex and nonlinear optimization problem considering valve-point loading effects of generating units; it is difficult to solve the problem using traditional optimization method. Therefore...

Economic dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non-differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of four different evolutionary algorithms i.e. genetic algorithm, bacteria foraging optimizatio...

The Combined Heat and Power Economic Emission Load Dispatch (CHPEED) is an optimization problem to minimize the cost and emission while ensuring the fulfilling the power and heat demand and feasible constraints. This paper presents Particle Swarm Optimization (PSO) technique and other to solve CHPEED with bounded feasible operating region. The main potential of this technique is that it proper ...

The economic dispatch of wind power units is quite different from that in conventional thermal units; since the adopted model should take into consideration the intermittency nature of wind speed as well. Therefore, this paper uses a model that takes into account the aforementioned consideration in addition to whether the utility owns wind turbines or not. The economic dispatch is solved by usi...

One of the significant strategies of the power systems is Economic Dispatch (ED) problem, which is defined as the optimal generation of power units to produce energy at the lowest cost by fulfilling the demand within several limits. The undeniable impacts of ramp rate limits, valve loading, prohibited operating zone, spinning reserve and multi-fuel option on the economic dispatch of practical p...

This paper presents the solution of environmental/ economic dispatch (EED) problem by using a multiobjective bees algorithm (MBA) with clustering technique. EED problem is to minimize simultaneously the total fuel cost and environmental pollution of generation while satisfying various constrains. The MBA is modified from Bees Algorithm in order to solve EED problem through compromised fuzzy and...

Unit commitment (UC) is a optimization task planning operation in power system and is done by scheduled the generating units in on/off states. The UC problem is to minimize system total operating cost to meet forecasting load and reserve requirement while adhering to generator and transmission constraints to satisfy a given security level. The capability of using load, energy sources and energy...

Economic load dispatch is one of the optimization problems in power systems. This paper presents an improved genetic algorithm for economic load dispatch with valve-point loadings. New crossover and mutation operations are introduced. The solutions of the economic load dispatch with valve-point loadings under three cases are solved by the improved genetic algorithm. Test results are,given and c...

The main purpose of this research is to determine the generation quantity of each generator in a power system. In this way, not only will the electricity demanded by the system be supplied, but the cost of fuel along with the level of pollution can be minimized. Obviously, calculation of the optimal layout of power plants with the aim of minimizing fuel costs and pollutants level contributes to...

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...