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001-es BibID:BIBFORM100830
035-os BibID:(cikkazonosító)2003 (WoS)000775560000001 (Scopus)85128085838
Első szerző:Assad, Ussama
Cím:Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods / Ussama Assad, Muhammad Arshad Shehzad Hassan, Umar Farooq, Asif Kabir, Muhammad Zeeshan Khan, S. Sabahat H. Bukhari, Zain ul Abidin Jaffri, Judit Oláh, József Popp
Dátum:2022
ISSN:1996-1073
Megjegyzések:In view of scarcity of traditional energy resources and environmental issues, renewable energy resources (RERs) are introduced to fulfill the electricity requirement of growing world. Moreover, the effective utilization of RERs to fulfill the varying electricity demands of customers can be achieved via demand response (DR). Furthermore, control techniques, decision variables and offered motivations are the ways to introduce DR into distribution network (DN). This categorization needs to be optimized to balance the supply and demand in DN. Therefore, intelligent algorithms are employed to achieve optimized DR. However, these algorithms are computationally restrained to handle the parametric load of uncertainty involved with RERs and power system. Henceforth, this paper focuses on the limitations of intelligent algorithms for DR. Furthermore, a comparative study of different intelligent algorithms for DR is discussed. Based on conclusions, quantum algorithms are recommended to optimize the computational burden for DR in future smartgrid.
Tárgyszavak:Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Energies. - 15 : 6 (2022), p. 1-36. -
További szerzők:Hassan, Muhammad Arshad Shehzad Farooq, Umar Kabir, Asif Khan, Muhammad Zeeshan Bukhari, S. Sabahat H. Jafri, Zain ul Abidin Oláh Judit (1973-) (agrárközgazdász, logisztika) Popp József (1955-) (közgazdász)
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Intézményi repozitóriumban (DEA) tárolt változat
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2.

001-es BibID:BIBFORM100534
035-os BibID:(cikkazonosító)1385 (WoS)000767158400001 (Scopus)85124909467
Első szerző:Hassan, Muhammad Arshad Shehzad
Cím:Dynamic Price-Based Demand Response through Linear Regression for Microgrids with Renewable Energy Resources / Muhammad Arshad Shehzad Hassan, Ussama Assad, Umar Farooq, Asif Kabir, Muhammad Zeeshan Khan, S. Sabahat H. Bukhari, Zain ul Abidin Jaffri, Judit Oláh, József Popp
Dátum:2022
ISSN:1996-1073
Megjegyzések:The green innovations in the energy sector are smart solutions to meet the excessive power requirements through renewable energy resources (RERs). These resources have forwarded the revolutionary relief in control of carbon dioxide gaseous emissions from traditional energy resources. The use of RERs in a heuristic manner is necessary to meet the demand side management in microgrids (MGs). The pricing scheme limitations hinder the profit maximization of MG and their customers. In addition, recent pricing schemes lack mechanistic underpinning. Therefore, a dynamic electricity pricing scheme through linear regression is designed for RERs to maximize the profit of load customers (changeable and unchangeable) in MG. The demand response optimization problem is solved through the particle swarm optimization (PSO) technique. The proposed dynamic electricity pricing scheme is evaluated under two different scenarios. The simulation results verified that the proposed dynamic electricity pricing scheme sustained the profit margins and comforts for changeable and unchangeable load customers as compared to fixed electricity pricing schemes in both scenarios. Hence, the proposed dynamic electricity pricing scheme can readily be used for real microgrids (MGs) to grasp the goal for cleaner energy production.
Tárgyszavak:Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Energies. - 15 : 4 (2022), p. 1-17. -
További szerzők:Assad, Ussama Farooq, Umar Kabir, Asif Khan, Muhammad Zeeshan Bukhari, S. Sabahat H. Jafri, Zain ul Abidin Oláh Judit (1973-) (agrárközgazdász, logisztika) Popp József (1955-) (közgazdász)
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
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