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Pollution of the power plant has caused harmful environmental effects due to the emission of greenhouse gas. The pollution can be reduced by adjusting the real power outputs of different power plants. However, the relocation of real power outputs results an additional outlay in the system. In order to eliminate the conflict between the cost and emission, an optimal power flow is introduced in this...
This paper presents Function Optimization by Learning Automata (FOLA) for the power flow problem which aims to achieve economic power system dispatch and voltage stability enhancement in dynamic wind power integrated systems. Dividing each dimension into a certain number of cells, FOLA undertakes the dimensional search, and has the ability of memorizing history through the values of cells that have...
This paper presents a new algorithm, Function Optimisation by Reinforcement Learning (FORL), to solve large-scale and complex function optimisation problems, in particular for those in a high-dimensional space. FORL undertakes the dimensional search in sequence, in contrast to evolutionary algorithms (EAs) which are based on the population-based search, and has the ability of memory of history incorporated...
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