Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System

This paper presents a model for transactive energy management within microgrids (MGs) that include smart homes and buildings. The model focuses on peer-to-peer (P2P) transactive energy management among these homes, establishing a collaborative use of a cloud energy storage system (CESS) to reduce da...

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Main Authors: Shalau Farhad Hussein, Sajjad Golshannavaz, Zhiyi Li
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Smart Cities
Subjects:
Online Access:https://www.mdpi.com/2624-6511/7/6/136
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author Shalau Farhad Hussein
Sajjad Golshannavaz
Zhiyi Li
author_facet Shalau Farhad Hussein
Sajjad Golshannavaz
Zhiyi Li
author_sort Shalau Farhad Hussein
collection DOAJ
description This paper presents a model for transactive energy management within microgrids (MGs) that include smart homes and buildings. The model focuses on peer-to-peer (P2P) transactive energy management among these homes, establishing a collaborative use of a cloud energy storage system (CESS) to reduce daily energy costs for both smart homes and MGs. This research assesses how smart homes and buildings can effectively utilize CESS while implementing P2P transactive energy management. Additionally, it explores the potential of a solar rooftop parking lot facility that offers charging and discharging services for plug-in electric vehicles (PEVs) within the MG. Controllable and non-controllable appliances, along with air conditioning (AC) systems, are managed by a home energy management (HEM) system to optimize energy interactions within daily scheduling. A linear mathematical framework is developed across three scenarios and solved using General Algebraic Modeling System (GAMS 24.1.2) software for optimization. The developed model investigates the operational impacts and optimization opportunities of CESS within smart homes and MGs. It also develops a transactive energy framework in a P2P energy trading market embedded with CESS and analyzes the cost-effectiveness and arbitrage driven by CESS integration. The results of the comparative analysis reveal that integrating CESS within the P2P transactive framework not only opens up further technical opportunities but also significantly reduces MG energy costs from $55.01 to $48.64, achieving an 11.57% improvement. Results are further discussed.
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spelling doaj-art-9b6f2feb338e453fa9a54d2c8dcbdbfb2025-08-20T02:43:46ZengMDPI AGSmart Cities2624-65112024-11-01763489351010.3390/smartcities7060136Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage SystemShalau Farhad Hussein0Sajjad Golshannavaz1Zhiyi Li2Faculty of Electrical and Computer Engineering, Urmia University, Urmia 5756151818, IranFaculty of Electrical and Computer Engineering, Urmia University, Urmia 5756151818, IranCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaThis paper presents a model for transactive energy management within microgrids (MGs) that include smart homes and buildings. The model focuses on peer-to-peer (P2P) transactive energy management among these homes, establishing a collaborative use of a cloud energy storage system (CESS) to reduce daily energy costs for both smart homes and MGs. This research assesses how smart homes and buildings can effectively utilize CESS while implementing P2P transactive energy management. Additionally, it explores the potential of a solar rooftop parking lot facility that offers charging and discharging services for plug-in electric vehicles (PEVs) within the MG. Controllable and non-controllable appliances, along with air conditioning (AC) systems, are managed by a home energy management (HEM) system to optimize energy interactions within daily scheduling. A linear mathematical framework is developed across three scenarios and solved using General Algebraic Modeling System (GAMS 24.1.2) software for optimization. The developed model investigates the operational impacts and optimization opportunities of CESS within smart homes and MGs. It also develops a transactive energy framework in a P2P energy trading market embedded with CESS and analyzes the cost-effectiveness and arbitrage driven by CESS integration. The results of the comparative analysis reveal that integrating CESS within the P2P transactive framework not only opens up further technical opportunities but also significantly reduces MG energy costs from $55.01 to $48.64, achieving an 11.57% improvement. Results are further discussed.https://www.mdpi.com/2624-6511/7/6/136peer-to-peer (P2P) transactive energy managementmicrogrid (MG)smart homes/buildingshome energy management (HEM)cloud energy storage system (CESS)
spellingShingle Shalau Farhad Hussein
Sajjad Golshannavaz
Zhiyi Li
Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System
Smart Cities
peer-to-peer (P2P) transactive energy management
microgrid (MG)
smart homes/buildings
home energy management (HEM)
cloud energy storage system (CESS)
title Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System
title_full Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System
title_fullStr Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System
title_full_unstemmed Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System
title_short Peer-to-Peer Transactive Energy Trading of Smart Homes/Buildings Contributed by A Cloud Energy Storage System
title_sort peer to peer transactive energy trading of smart homes buildings contributed by a cloud energy storage system
topic peer-to-peer (P2P) transactive energy management
microgrid (MG)
smart homes/buildings
home energy management (HEM)
cloud energy storage system (CESS)
url https://www.mdpi.com/2624-6511/7/6/136
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AT zhiyili peertopeertransactiveenergytradingofsmarthomesbuildingscontributedbyacloudenergystoragesystem