New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system
Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is propose...
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National Technical University "Kharkiv Polytechnic Institute"
2021
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oai:doaj.org-article:19e8a62111e5491e93f6a1b9722aed8f2021-12-02T18:42:19ZNew algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system10.20998/2074-272X.2021.1.052074-272X2309-3404https://doaj.org/article/19e8a62111e5491e93f6a1b9722aed8f2021-02-01T00:00:00Zhttp://eie.khpi.edu.ua/article/view/225158/225155https://doaj.org/toc/2074-272Xhttps://doaj.org/toc/2309-3404Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is proposed for reducing the character of intermittence of PVs power which infect the stability of electric grid. In simulation model, the PV system and the energy storage system are connected to the same DC bus, whereas EMS controls the power flow from the PV generator to the grid based on the predetermined level of PV power. In the case where the PV power is less than the predefined threshold, energy is stored in the batteries banc which will be employed in the peak energy demand (PED) times. Otherwise, it continues to feed the principal grid. The novelty of the proposed work lies in a new algorithm (smart algorithm) able to determine the most suitable (optimal) hours to switching between battery, Solar PVs, and principal grid based on historical consumption data and also determine the optimal amount of storage energy that be injected during the peak demand. Methods. The solution of the problem was implemented in the Matlab R2010a Platform and the simulation conducted on Laptop with a 2.5 GHz processor and 4 GB RAM. Results. Simulation results show that the proposed model schedules the time ON/OFF of the switch in the most optimal way, resulting in absolute control of power electric path, i.e. precise adaptation at the peak without compromising consumers comfort. In addition, other useful results can be directly obtained from the developed scheme. Thus, the results confirm the superiority of the proposed strategy compared to other improved techniques.F. SlamaH. RadjeaiS. MouassaA. ChouderNational Technical University "Kharkiv Polytechnic Institute"articlepv generator and maximum power point tracker (mppt)inverterbattery storagemanagement and control strategiesinjection of energyElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENRUUKElectrical engineering & Electromechanics, Iss 1, Pp 27-34 (2021) |
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pv generator and maximum power point tracker (mppt) inverter battery storage management and control strategies injection of energy Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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pv generator and maximum power point tracker (mppt) inverter battery storage management and control strategies injection of energy Electrical engineering. Electronics. Nuclear engineering TK1-9971 F. Slama H. Radjeai S. Mouassa A. Chouder New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
description |
Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is proposed for reducing the character of intermittence of PVs power which infect the stability of electric grid. In simulation model, the PV system and the energy storage system are connected to the same DC bus, whereas EMS controls the power flow from the PV generator to the grid based on the predetermined level of PV power. In the case where the PV power is less than the predefined threshold, energy is stored in the batteries banc which will be employed in the peak energy demand (PED) times. Otherwise, it continues to feed the principal grid. The novelty of the proposed work lies in a new algorithm (smart algorithm) able to determine the most suitable (optimal) hours to switching between battery, Solar PVs, and principal grid based on historical consumption data and also determine the optimal amount of storage energy that be injected during the peak demand. Methods. The solution of the problem was implemented in the Matlab R2010a Platform and the simulation conducted on Laptop with a 2.5 GHz processor and 4 GB RAM. Results. Simulation results show that the proposed model schedules the time ON/OFF of the switch in the most optimal way, resulting in absolute control of power electric path, i.e. precise adaptation at the peak without compromising consumers comfort. In addition, other useful results can be directly obtained from the developed scheme. Thus, the results confirm the superiority of the proposed strategy compared to other improved techniques. |
format |
article |
author |
F. Slama H. Radjeai S. Mouassa A. Chouder |
author_facet |
F. Slama H. Radjeai S. Mouassa A. Chouder |
author_sort |
F. Slama |
title |
New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
title_short |
New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
title_full |
New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
title_fullStr |
New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
title_full_unstemmed |
New algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
title_sort |
new algorithm for energy dispatch scheduling of grid-connected solar photovoltaic system with battery storage system |
publisher |
National Technical University "Kharkiv Polytechnic Institute" |
publishDate |
2021 |
url |
https://doaj.org/article/19e8a62111e5491e93f6a1b9722aed8f |
work_keys_str_mv |
AT fslama newalgorithmforenergydispatchschedulingofgridconnectedsolarphotovoltaicsystemwithbatterystoragesystem AT hradjeai newalgorithmforenergydispatchschedulingofgridconnectedsolarphotovoltaicsystemwithbatterystoragesystem AT smouassa newalgorithmforenergydispatchschedulingofgridconnectedsolarphotovoltaicsystemwithbatterystoragesystem AT achouder newalgorithmforenergydispatchschedulingofgridconnectedsolarphotovoltaicsystemwithbatterystoragesystem |
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1718377725118382080 |