LP Guided PSO Algorithm for Office Lighting Control

• SI Wa

  Graduate School of Information, Production and Systems, Waseda University

• PAN Xun

  Graduate School of Information, Production and Systems, Waseda University

• OGAI Harutoshi

  Graduate School of Information, Production and Systems, Waseda University

• HIRAI Katsumi

  Hakutsu Technology Ltd.

抄録

In most existing centralized lighting control systems, the lighting control problem (LCP) is reformulated as a constrained minimization problem and solved by linear programming (LP). However, in real-world applications, LCP is actually discrete and non-linear, which means that more accurate algorithm may be applied to achieve improvements in energy saving. In this paper, particle swarm optimization (PSO) is successfully applied for office lighting control and a linear programming guided particle swarm optimization (LPPSO) algorithm is developed to achieve considerable energy saving while satisfying users' lighting preference. Simulations in DIALux office models (one with small number of lamps and one with large number of lamps) are made and analyzed using the proposed control algorithms. Comparison with other widely used methods including LP shows that LPPSO can always achieve higher energy saving than other lighting control methods.

収録刊行物

• IEICE Transactions on Information and Systems

  IEICE Transactions on Information and Systems E99.D (7), 1753-1761, 2016

  一般社団法人 電子情報通信学会

キーワード

• office lighting
• energy saving system
• particle swarm optimization
• linear programming

詳細情報

• CRID: 1390001204378601216
• NII論文ID: 130005160318
• DOI: 10.1587/transinf.2015edp7242
• ISSN: 17451361
• ISSN: 09168532
• Web Site: https://www.jstage.jst.go.jp/article/transinf/E99.D/7/E99.D_2015EDP7242/_pdf
• 本文言語コード: en
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