Abstract
In Smart Grid, various kind of renewable energies have been rapidly introduced. Then, the structure of power grid has been shifting from the tree 1:N structure with centralized power plants to the M:N liked mesh structure with various kind of power resources. In this case, it is necessary that each power demand user determines to use a proper power source among a huge number of power supplies, and we call it as Matching in this paper. There are three issues to realize M:N matching control. The first issue is reducing calculation time. The second issue is the dynamic adjusting in spite of fluctuation of power demand and supply. The third issue is to control user satisfied matching such as power price or satisfaction to select renewable energy. In this paper, we propose the matching method that the demand and supply matching algorithm which solves above three issues by utilizing the P2P Interactive Agent eXtensions (PIAX) platform. The calculation time can be reduced by the autonomous distributed control by PIAX platform. The issues of dynamic adjusting of power demand and supply and to consider user satisfaction are solved by the proposed matching algorithm. Computer simulation results and evaluation results by PIAX platform show that the proposed method can reduce the matching calculation time, and maximize user satisfaction in power fluctuation of demand and supply.
Original language | English |
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Title of host publication | 2016 IEEE 17th International Conference on High Performance Switching and Routing, HPSR 2016 |
Publisher | IEEE Computer Society |
Pages | 128-133 |
Number of pages | 6 |
Volume | 2016-July |
ISBN (Electronic) | 9781479989508 |
DOIs | |
Publication status | Published - 2016 Jul 28 |
Event | 17th IEEE International Conference on High Performance Switching and Routing, HPSR 2016 - Yokohama, Japan Duration: 2016 Jun 14 → 2016 Jun 17 |
Other
Other | 17th IEEE International Conference on High Performance Switching and Routing, HPSR 2016 |
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Country/Territory | Japan |
City | Yokohama |
Period | 16/6/14 → 16/6/17 |
Keywords
- Agent
- Distributed control
- Peer to peer
- Smart Grid
- Supply and Demand Matching
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering