VPP Resource Commitment based on Evolutionary Algorithm

The paper represents an evolutionary algorithm (EA) solution to the unit commitment problem for Virtual Power Plants. EAs are general optimization techniques based on principles inspired from the biological evolution, using metaphors of mechanism such as natural selection, genetic recombination and survival of the fittest. One of EA implementation using the standard crossover and mutation operators could locate near optimal solution. Theoretical results and expectations are proved through simulations of a realistic scenario.