In this paper, an economic emission dispatch (EED) model is developed to reduce fuel cost and environmental pollution emissions. Considering the development of new energy sources in recent years, EED problem involves thermal units with valve point effect WTs. Meanwhile, it complies demand constraint generator capacity constraints. A recurrent neural network (RNN) proposed search for local optim...

Efficient and reliable power production is necessary to meet both the profitability of power systems operations and the electricity demand, taking also into account the environmental concerns about the emissions produced by fossil-fuelled power plants. The economic emission load dispatch problem has been defined and applied in order to deal with the optimization of these two conflicting objecti...

— In this paper, comparative study of two methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is used to solve Economic dispatch problem in power systems. The feasibility of both the methods is demonstrated for a six-generator system and a fifteengenerator system. The results from the experiments show that the PSO method gives a better quality solution to the Economic Dispatch...

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...

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...