A new multi-algorithm approach for the daily optimization of thermal power plants and the
Economic Dispatch was tested. For this, the dispatches were clustered in different groups …

The population increase and the growth of buying power of home appliances cause the
need of electricity power to increase every year in Brazil. Electric dispatch is defined as the …

Abstract Steam Power Plant (PLTU) is a plant that relies on kinetic energy from hot steam to
produce electrical energy. At the Paiton Power Plant, thermal energy is generated from …

Owing to the industrial development of the Amazon Region, mainly in the Industrial Pole of
Manaus, and the consequent increase in the need for energy generation, of which in this …

This paper presents a modified tabu search algorithm which uses a real-valued solution
vector and an adaptive mechanism for generating neighbors. The neighbors are produced …

This paper presents a comparative study for five artificial intelligent (AI) techniques to the
dynamic economic dispatch problem: differential evolution, particle swarm optimization …

This paper proposes the utilization of the metaheuristic Teaching-Learning-Based
Optimization for solving the economic dispatch problem. Depending on several aspects …

The cost of power generation is affected by the growth in real power demand in the power
system. For the cost-effective dispatch of thermal units, a variety of traditional and clever …

Genetic algorithms are adaptive search methods that simulate some of the natural
processes: selection, information, inheritance, random mutation and population dynamics …

As energy costs are expected to keep rising in the coming years, mostly due to a growing
worldwide demand, optimizing power generation is of crucial importance for utilities …