Optimal energy management for PV‐integrated residential systems including energy storage system

Abstract Economic profit is the main incentive for PV‐integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule‐based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sol...

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Main Authors: S. Ghafouri Varzaneh, A. Raziabadi, Mohammad Hosseinzadeh, Mohammad J. Sanjari
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:IET Renewable Power Generation
Online Access:https://doi.org/10.1049/rpg2.12002
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spelling doaj-0c27c3e455f34e3c820c778e437b58bc2021-08-02T08:30:19ZengWileyIET Renewable Power Generation1752-14161752-14242021-01-01151172910.1049/rpg2.12002Optimal energy management for PV‐integrated residential systems including energy storage systemS. Ghafouri Varzaneh0A. Raziabadi1Mohammad Hosseinzadeh2Mohammad J. Sanjari3Electrical Engineering Department Amirkabir University of Technology Tehran IranElectrical Engineering Department Amirkabir University of Technology Tehran IranElectrical Engineering Department Amirkabir University of Technology Tehran IranSchool of Engineering and Built Environment Griffith University Gold Coast Queensland AustraliaAbstract Economic profit is the main incentive for PV‐integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule‐based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sold to the distribution network, and consequently the user profit in such systems, is not considerable. This study proposes a smart energy management system (SEMS) for optimal energy management in a grid‐connected residential photovoltaic (PV) system, including battery as an energy storage unit. The proposed method, which is simulated by MATLAB, using real values for load and PV characteristics, will result in achieving an economic plan for battery operation based on a discretised state of charge of the battery. Experimental tests, carried out to verify the simulation results, demonstrate a noticeable increase in the prosumer benefits as well as the load profile correction compared to the classic energy management algorithms.https://doi.org/10.1049/rpg2.12002
collection DOAJ
language English
format Article
sources DOAJ
author S. Ghafouri Varzaneh
A. Raziabadi
Mohammad Hosseinzadeh
Mohammad J. Sanjari
spellingShingle S. Ghafouri Varzaneh
A. Raziabadi
Mohammad Hosseinzadeh
Mohammad J. Sanjari
Optimal energy management for PV‐integrated residential systems including energy storage system
IET Renewable Power Generation
author_facet S. Ghafouri Varzaneh
A. Raziabadi
Mohammad Hosseinzadeh
Mohammad J. Sanjari
author_sort S. Ghafouri Varzaneh
title Optimal energy management for PV‐integrated residential systems including energy storage system
title_short Optimal energy management for PV‐integrated residential systems including energy storage system
title_full Optimal energy management for PV‐integrated residential systems including energy storage system
title_fullStr Optimal energy management for PV‐integrated residential systems including energy storage system
title_full_unstemmed Optimal energy management for PV‐integrated residential systems including energy storage system
title_sort optimal energy management for pv‐integrated residential systems including energy storage system
publisher Wiley
series IET Renewable Power Generation
issn 1752-1416
1752-1424
publishDate 2021-01-01
description Abstract Economic profit is the main incentive for PV‐integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule‐based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sold to the distribution network, and consequently the user profit in such systems, is not considerable. This study proposes a smart energy management system (SEMS) for optimal energy management in a grid‐connected residential photovoltaic (PV) system, including battery as an energy storage unit. The proposed method, which is simulated by MATLAB, using real values for load and PV characteristics, will result in achieving an economic plan for battery operation based on a discretised state of charge of the battery. Experimental tests, carried out to verify the simulation results, demonstrate a noticeable increase in the prosumer benefits as well as the load profile correction compared to the classic energy management algorithms.
url https://doi.org/10.1049/rpg2.12002
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AT araziabadi optimalenergymanagementforpvintegratedresidentialsystemsincludingenergystoragesystem
AT mohammadhosseinzadeh optimalenergymanagementforpvintegratedresidentialsystemsincludingenergystoragesystem
AT mohammadjsanjari optimalenergymanagementforpvintegratedresidentialsystemsincludingenergystoragesystem
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