Peer-to-peer power trading with voltage and congestion management for distribution grids

In this work, a novel distribution grid level peer-to peer (P2P) power market framework is proposed. The proposed market framework enables the satisfaction of distribution grid constraints such as the voltage limits and transfer capacity limits, for all P2P power transactions between each producer-c...

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Main Authors: Sampath, Lahanda Purage Mohasha Isuru, Paudel, Amrit, Foo, Eddy Yi Shyh, Nguyen, Hung Dinh, Gooi, Hoay Beng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/150944
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1509442021-06-11T01:38:47Z Peer-to-peer power trading with voltage and congestion management for distribution grids Sampath, Lahanda Purage Mohasha Isuru Paudel, Amrit Foo, Eddy Yi Shyh Nguyen, Hung Dinh Gooi, Hoay Beng School of Electrical and Electronic Engineering 2021 IEEE Power & Energy Society General Meeting (PESGM) Centre for system intelligence and efficiency (EXQUISITUS) Engineering::Electrical and electronic engineering::Electric power ADMM Optimal Power Flow In this work, a novel distribution grid level peer-to peer (P2P) power market framework is proposed. The proposed market framework enables the satisfaction of distribution grid constraints such as the voltage limits and transfer capacity limits, for all P2P power transactions between each producer-consumer pair. An Alternating direction method of multipliers (ADMM)- based coordinating algorithm is proposed in which the P2P power trading is facilitated at the first step, and the second step involves ancillary services market clearing considering the grid constraints and the power injections of the P2P participants, in a distributed and interactive manner. The distribution locational marginal prices are iteratively computed in the process so that the costs associated with P2P energy transactions are allocated to the respective producer-consumer pairs. As such, the proposed algorithm enables optimal P2P power trading while supporting optimal voltage and congestion management of the distribution grid. The case studies illustrate the effectiveness of the proposed ADMM-based coordination algorithm. Ministry of Education (MOE) Accepted version This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 1 Grant (MOE2018- T1-002-093) This work was supported by the Agency for Science, Technology and Research (A*STAR) through its Singapore-Germany Academic-Industry (2+2) International Collaboration under Grant A1990b0060. 2021-06-11T01:38:47Z 2021-06-11T01:38:47Z 2021 Conference Paper Sampath, L. P. M. I., Paudel, A., Foo, E. Y. S., Nguyen, H. D. & Gooi, H. B. (2021). Peer-to-peer power trading with voltage and congestion management for distribution grids. 2021 IEEE Power & Energy Society General Meeting (PESGM). https://hdl.handle.net/10356/150944 en 2018-T1-002-093 © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electric power
ADMM
Optimal Power Flow
spellingShingle Engineering::Electrical and electronic engineering::Electric power
ADMM
Optimal Power Flow
Sampath, Lahanda Purage Mohasha Isuru
Paudel, Amrit
Foo, Eddy Yi Shyh
Nguyen, Hung Dinh
Gooi, Hoay Beng
Peer-to-peer power trading with voltage and congestion management for distribution grids
description In this work, a novel distribution grid level peer-to peer (P2P) power market framework is proposed. The proposed market framework enables the satisfaction of distribution grid constraints such as the voltage limits and transfer capacity limits, for all P2P power transactions between each producer-consumer pair. An Alternating direction method of multipliers (ADMM)- based coordinating algorithm is proposed in which the P2P power trading is facilitated at the first step, and the second step involves ancillary services market clearing considering the grid constraints and the power injections of the P2P participants, in a distributed and interactive manner. The distribution locational marginal prices are iteratively computed in the process so that the costs associated with P2P energy transactions are allocated to the respective producer-consumer pairs. As such, the proposed algorithm enables optimal P2P power trading while supporting optimal voltage and congestion management of the distribution grid. The case studies illustrate the effectiveness of the proposed ADMM-based coordination algorithm.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Sampath, Lahanda Purage Mohasha Isuru
Paudel, Amrit
Foo, Eddy Yi Shyh
Nguyen, Hung Dinh
Gooi, Hoay Beng
format Conference or Workshop Item
author Sampath, Lahanda Purage Mohasha Isuru
Paudel, Amrit
Foo, Eddy Yi Shyh
Nguyen, Hung Dinh
Gooi, Hoay Beng
author_sort Sampath, Lahanda Purage Mohasha Isuru
title Peer-to-peer power trading with voltage and congestion management for distribution grids
title_short Peer-to-peer power trading with voltage and congestion management for distribution grids
title_full Peer-to-peer power trading with voltage and congestion management for distribution grids
title_fullStr Peer-to-peer power trading with voltage and congestion management for distribution grids
title_full_unstemmed Peer-to-peer power trading with voltage and congestion management for distribution grids
title_sort peer-to-peer power trading with voltage and congestion management for distribution grids
publishDate 2021
url https://hdl.handle.net/10356/150944
_version_ 1702431304320024576