Peer-to-peer trading of electricity in local power market

This report introduces the rationale of the Peer-to-peer (P2P) electricity market and pricing mechanisms for a microgrid and a multi-microgrid community (more than one microgrid) is proposed. Before implementing such algorithms, the basic process of trading between prosumers in a P2P electricity mar...

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Bibliographic Details
Main Author: Yang, Jiawei
Other Authors: Gooi Hoay Beng
Format: Final Year Project (FYP)
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74919
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author Yang, Jiawei
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Yang, Jiawei
author_sort Yang, Jiawei
collection NTU
description This report introduces the rationale of the Peer-to-peer (P2P) electricity market and pricing mechanisms for a microgrid and a multi-microgrid community (more than one microgrid) is proposed. Before implementing such algorithms, the basic process of trading between prosumers in a P2P electricity market by using a knapsack auction is proposed too. After being familiar these pricing mechanisms, algorithms for the trading mechanisms are compiled through MATLAB simulation. The feasibility and functionality of these pricing mechanisms are assessed via simulation depending on the compiled codes. On the last stage, considering all the prosumers are equipped with their own distributed generation systems and battery energy stored states, the outcomes of using different pricing mechanisms are also proposed. Overall, this project includes the basic trading process of each prosumer, the pricing mechanism for the transactions in one microgrid and the one for a multi-microgrid community. In addition, the results of various methods of trading are compared by demonstrating the cost spent by every prosumer in order to provide a reliable reference for the future work.
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spelling ntu-10356/749192023-07-07T16:08:29Z Peer-to-peer trading of electricity in local power market Yang, Jiawei Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering This report introduces the rationale of the Peer-to-peer (P2P) electricity market and pricing mechanisms for a microgrid and a multi-microgrid community (more than one microgrid) is proposed. Before implementing such algorithms, the basic process of trading between prosumers in a P2P electricity market by using a knapsack auction is proposed too. After being familiar these pricing mechanisms, algorithms for the trading mechanisms are compiled through MATLAB simulation. The feasibility and functionality of these pricing mechanisms are assessed via simulation depending on the compiled codes. On the last stage, considering all the prosumers are equipped with their own distributed generation systems and battery energy stored states, the outcomes of using different pricing mechanisms are also proposed. Overall, this project includes the basic trading process of each prosumer, the pricing mechanism for the transactions in one microgrid and the one for a multi-microgrid community. In addition, the results of various methods of trading are compared by demonstrating the cost spent by every prosumer in order to provide a reliable reference for the future work. Bachelor of Engineering 2018-05-25T01:01:59Z 2018-05-25T01:01:59Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74919 en Nanyang Technological University 66 p. application/pdf
spellingShingle DRNTU::Engineering
Yang, Jiawei
Peer-to-peer trading of electricity in local power market
title Peer-to-peer trading of electricity in local power market
title_full Peer-to-peer trading of electricity in local power market
title_fullStr Peer-to-peer trading of electricity in local power market
title_full_unstemmed Peer-to-peer trading of electricity in local power market
title_short Peer-to-peer trading of electricity in local power market
title_sort peer to peer trading of electricity in local power market
topic DRNTU::Engineering
url http://hdl.handle.net/10356/74919
work_keys_str_mv AT yangjiawei peertopeertradingofelectricityinlocalpowermarket