抄録
Factory power generation plants supply electricity and heat to the manufacturing lines. Because the demands for electricity and heat are uncertain, the power plant must adjust its output to match the demand and to avoid the violation of constraints such as the inverse load flow of electricity. Conventionally, these violations have been avoided by purchasing surplus power. However, the surplus power raises the energy cost. There exists an optimization method, which considers the uncertainty in the demands for co-generation systems, and implements a triangle function to approximate its probability distribution. However, using a triangle function, this method does not consider the tail of the probability distribution. In this paper, a new operation optimization method considering uncertainty in the demands of electricity and heat for factory power generation plants is proposed. The proposed method aims to avoid violations of constraints and to reduce the energy cost. Through simulation experiments, the validity of the proposed method is confirmed.
