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Operation Optimization of Factory Power Generation Plant Considering an Uncertainty
Author(s) -
Kitamura Shoichi,
Mori Kazuyuki,
Izui Yoshio,
Miyamoto Toshiyuki,
Takai Shigemasa
Publication year - 2014
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22593
Subject(s) - factory (object oriented programming) , cogeneration , power (physics) , electricity generation , mathematical optimization , reliability engineering , electric power , power station , engineering , computer science , electrical engineering , mathematics , physics , quantum mechanics , programming language
SUMMARY Factory power generation plants supply electric power and heat to manufacturing lines. Because demand changes are uncertain, the power plant must adjust its output to match the demand and to avoid violation of constraints such as inverse load flow. Conventionally, these violations have been avoided by purchasing surplus electric power. However, surplus power raises the energy cost. There exists an optimization method that considers uncertainty in demands for cogeneration systems, and uses a triangle function to approximate the probability distribution. However, this method does not consider the tail of the probability distribution. In this paper we propose an operation optimization method considering an uncertainty in the demands for factory power plants. The proposed method aims to avoid violation of constraints and to reduce energy cost. Through simulation experiments, we confirm the validity of the proposed method.