Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network
A linear function submission-based double auction (LFS-DA) mechanism for a regional electricity network is proposed in this paper. Each agent in the network is equipped with a battery and a generator. Each agent simultaneously becomes a producer and consumer of electricity, i.e., a prosumer, and tra...
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doaj-581f69cb2c9a46d0abd0d9e2e976b3a92020-11-24T23:08:04ZengMDPI AGEnergies1996-10732015-07-01877381740610.3390/en8077381en8077381Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity NetworkTadahiro Taniguchi0Koki Kawasaki1Yoshiro Fukui2Tomohiro Takata3Shiro Yano4College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577, JapanGraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577, JapanCollege of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577, JapanResearch Organization of Science and Technology, Ritsumeikan University, 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577, JapanDivision of Advanced Information Technology & Computer Science, Tokyo University of Agriculture and Technology, 2-24-16 Nakamachi, Koganei, Tokyo 184-8588, JapanA linear function submission-based double auction (LFS-DA) mechanism for a regional electricity network is proposed in this paper. Each agent in the network is equipped with a battery and a generator. Each agent simultaneously becomes a producer and consumer of electricity, i.e., a prosumer, and trades electricity in the regional market at a variable price. In the LFS-DA, each agent uses linear demand and supply functions when they submit bids and asks to an auctioneer in the regional market. The LFS-DA can achieve an exact balance between electricity demand and supply for each time slot throughout the learning phase and was shown capable of solving the primal problem of maximizing the social welfare of the network without any central price setter, e.g., a utility or a large electricity company, in contrast with conventional real-time pricing (RTP). This paper presents a clarification of the relationship between the RTP algorithm derived on the basis of a dual decomposition framework and LFS-DA. Specifically, we proved that the changes in the price profile of the LFS-DA mechanism are equal to those achieved by the RTP mechanism derived from the dual decomposition framework, except for a constant factor.http://www.mdpi.com/1996-1073/8/7/7381multi-agent systemdistributed algorithmdual decompositiondouble auctionLagrangian relaxation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tadahiro Taniguchi Koki Kawasaki Yoshiro Fukui Tomohiro Takata Shiro Yano |
spellingShingle |
Tadahiro Taniguchi Koki Kawasaki Yoshiro Fukui Tomohiro Takata Shiro Yano Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network Energies multi-agent system distributed algorithm dual decomposition double auction Lagrangian relaxation |
author_facet |
Tadahiro Taniguchi Koki Kawasaki Yoshiro Fukui Tomohiro Takata Shiro Yano |
author_sort |
Tadahiro Taniguchi |
title |
Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network |
title_short |
Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network |
title_full |
Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network |
title_fullStr |
Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network |
title_full_unstemmed |
Automated Linear Function Submission-Based Double Auction as Bottom-up Real-Time Pricing in a Regional Prosumers’ Electricity Network |
title_sort |
automated linear function submission-based double auction as bottom-up real-time pricing in a regional prosumers’ electricity network |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2015-07-01 |
description |
A linear function submission-based double auction (LFS-DA) mechanism for a regional electricity network is proposed in this paper. Each agent in the network is equipped with a battery and a generator. Each agent simultaneously becomes a producer and consumer of electricity, i.e., a prosumer, and trades electricity in the regional market at a variable price. In the LFS-DA, each agent uses linear demand and supply functions when they submit bids and asks to an auctioneer in the regional market. The LFS-DA can achieve an exact balance between electricity demand and supply for each time slot throughout the learning phase and was shown capable of solving the primal problem of maximizing the social welfare of the network without any central price setter, e.g., a utility or a large electricity company, in contrast with conventional real-time pricing (RTP). This paper presents a clarification of the relationship between the RTP algorithm derived on the basis of a dual decomposition framework and LFS-DA. Specifically, we proved that the changes in the price profile of the LFS-DA mechanism are equal to those achieved by the RTP mechanism derived from the dual decomposition framework, except for a constant factor. |
topic |
multi-agent system distributed algorithm dual decomposition double auction Lagrangian relaxation |
url |
http://www.mdpi.com/1996-1073/8/7/7381 |
work_keys_str_mv |
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