Presentation 2014-06-19
A Study on Reducing the Number of Discrete Values in Distributed Cooperative Optimization for Power Supply Networks
Toshihiro MATSUI, Masayuki KANEKO, Hiroshi MATSUO,
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Abstract(in English) Resource allocation problem on power supply networks is an application of Distributed Constraint Optimization Problems. In previous studies, distributed cooperative solution methods based on feeder trees have been proposed. However, the large size of variable's domains, that represent samples of resource amounts, is a serious issue since the resource amounts originally take continuous values. We propose the methods to reduce the number of samples in the solution methods for the resource allocation problems. To maintain the feasibility with the samples, the boundaries for the resource amount and the estimated cost values were introduced. With the proposed methods, the size of problems is reduced while the methods keep relatively better feasibility and quality of the solutions.
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Keyword(in English) multiagent / distributed constraint optimization / resource allocation / smart grid
Paper # AI2014-5
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Committee AI
Conference Date 2014/6/12(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Study on Reducing the Number of Discrete Values in Distributed Cooperative Optimization for Power Supply Networks
Sub Title (in English)
Keyword(1) multiagent
Keyword(2) distributed constraint optimization
Keyword(3) resource allocation
Keyword(4) smart grid
1st Author's Name Toshihiro MATSUI
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Masayuki KANEKO
2nd Author's Affiliation Nagoya Institute of Technology
3rd Author's Name Hiroshi MATSUO
3rd Author's Affiliation Nagoya Institute of Technology
Date 2014-06-19
Paper # AI2014-5
Volume (vol) vol.114
Number (no) 89
Page pp.pp.-
#Pages 6
Date of Issue