Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm
Abstract Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy mar...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Wiley
2022-09-01
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Series: | IET Renewable Power Generation |
Online Access: | https://doi.org/10.1049/rpg2.12490 |
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author | Ali Aminlou Behnam Mohammadi‐Ivatloo Kazem Zare Reza Razzaghi Amjad Anvari‐Moghaddam |
author_facet | Ali Aminlou Behnam Mohammadi‐Ivatloo Kazem Zare Reza Razzaghi Amjad Anvari‐Moghaddam |
author_sort | Ali Aminlou |
collection | DOAJ |
description | Abstract Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town. |
first_indexed | 2024-12-10T21:29:10Z |
format | Article |
id | doaj.art-b7837a02fd9b45118088361d40749a00 |
institution | Directory Open Access Journal |
issn | 1752-1416 1752-1424 |
language | English |
last_indexed | 2024-12-10T21:29:10Z |
publishDate | 2022-09-01 |
publisher | Wiley |
record_format | Article |
series | IET Renewable Power Generation |
spelling | doaj.art-b7837a02fd9b45118088361d40749a002022-12-22T01:32:53ZengWileyIET Renewable Power Generation1752-14161752-14242022-09-0116122579258910.1049/rpg2.12490Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithmAli Aminlou0Behnam Mohammadi‐Ivatloo1Kazem Zare2Reza Razzaghi3Amjad Anvari‐Moghaddam4Faculty of Electrical and Computer Engineering University of Tabriz Tabriz IranFaculty of Electrical and Computer Engineering University of Tabriz Tabriz IranFaculty of Electrical and Computer Engineering University of Tabriz Tabriz IranDepartment of Electrical and Computer Systems Engineering Monash University Melbourne AustraliaDepartment of Energy (AAU Energy) Aalborg University Aalborg DenmarkAbstract Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town.https://doi.org/10.1049/rpg2.12490 |
spellingShingle | Ali Aminlou Behnam Mohammadi‐Ivatloo Kazem Zare Reza Razzaghi Amjad Anvari‐Moghaddam Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm IET Renewable Power Generation |
title | Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
title_full | Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
title_fullStr | Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
title_full_unstemmed | Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
title_short | Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
title_sort | peer to peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm |
url | https://doi.org/10.1049/rpg2.12490 |
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