Economic load dispatch (ELD) in power system problems involves scheduling the generating units to minimize cost and satisfy constraints. Although previous works propose solutions reduce CO2 emission production cost, an optimal allocation needs be considered on both emission-leading combined economic (CEED). Metaheuristic optimization algorithms perform relatively well ELD problems. The gradient...

This paper a Multi-objective Honey Bee Mating Optimization (MOHBMO) is proposed for Environmental/ Economic Power Dispatch (EED) problem. This paper proposes a new environmental/economic load dispatch model that considers cost and emission function coefficients with uncertainties and the constraints of ramp rate. Due to the environmental concerns that arise from the emissions produced via fossi...

The economic load dispatch (ELD) is one of the most important optimization problems from the view point of power system to derive optimal economy. Classically, it is to Identify the optimal combination of generation level of all generating units which minimizes the total fuel cost while satisfying the load. This classical ELD formulation has been solved by various methods like Lagrange method, ...

This paper introduces a new hybrid hill-climbing algorithm (HHC) for solving the Economic Dispatch (ED) problem. This algorithm solves the ED problems with a systematic search structure with a global search. It improves the results obtained from an evolutionary algorithm with local search and converges to the best possible solution that grabs the accuracy of the problem. The most important goal...

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches like dynamic programming, lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received m...

Since the introduction of Ant Colony Optimization (ACO) technique in 1992, the algorithm starts to gain popularity due to its attractive features. However, several shortcomings such as slow convergence and stagnation motivate many researchers to stop further implementation of ACO. Therefore, in order to overcome these drawbacks, ACO is proposed to be combined with Differential Evolution (DE) an...

The fundamental objective of economic load dispatch is to operate the available generating units such that needed demand satisfies lowest generation cost and also complies with various constraints. With proper power system operation planning using optimized limits, it possible reduce generation. To fulfill needs objectives, can help plan electrical system. optimize problems, classical new evolu...

In this paper, Stochastic Economic Load Dispatch problem with Multiple Fuels is solved using Pareto distribution with local convex optimization by bacterial foraging approach. Bacterial foraging optimization is swarmed intelligence technique used to solve the problem of the power system. The algorithm is based on the group foraging behavior of Escherichia coli (E-coli) bacteria present in the h...