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Modified multiobjective particle swarm optimization method and its application to energy management system for factories
Author(s) -
Kitamura Syoichi,
Mori Kazuyuki,
Shindo Seiichi,
Izui Yoshio
Publication year - 2006
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.20269
Subject(s) - particle swarm optimization , energy consumption , multi objective optimization , mathematical optimization , energy (signal processing) , energy management , computer science , multi swarm optimization , engineering , electrical engineering , mathematics , statistics
Conventional energy management systems (EMS) for factories have been developed to minimize energy costs. However, we have to reduce energy consumption and CO 2 emissions to preserve the environment. This paper proposes a multiobjective optimization method based on particle swarm optimization (PSO) to minimize energy costs and CO 2 emissions, and presents its effectiveness through simulation results. © 2006 Wiley Periodicals, Inc. Electr Eng Jpn, 156(4): 33–42, 2006; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/eej.20269