Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources
Passive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable microgrids (RMGs) are still in early phase studies, and...
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doaj-d769ca0039854de797718ada57db994a2020-11-25T01:38:03ZengMDPI AGEnergies1996-10732019-05-011210185810.3390/en12101858en12101858Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy SourcesFatma Yaprakdal0Mustafa Baysal1Amjad Anvari-Moghaddam2Faculty of Electrical and Electronics Engineering, Yildiz Technical University, Davutpasa Campus, 34220 Esenler, Istanbul, TurkeyFaculty of Electrical and Electronics Engineering, Yildiz Technical University, Davutpasa Campus, 34220 Esenler, Istanbul, TurkeyDepartment of Energy Technology, Aalborg University, 9220 Aalborg East, DenmarkPassive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable microgrids (RMGs) are still in early phase studies, and require further research. RMGs facilitate the integration of distributed generators (DGs) into distribution systems and enable a reconfigurable network topology by the help of remote-controlled switches (RCSs). This paper proposes a day-ahead operational scheduling framework for RMGs by simultaneously making an optimal reconfiguration plan and dispatching controllable distributed generation units (DGUs) considering power loss minimization as an objective. A hybrid approach combining conventional particle swarm optimization (PSO) and selective PSO (SPSO) methods (PSO&SPSO) is suggested for solving this combinatorial, non-linear, and NP-hard complex optimization problem. PSO-based methods are primarily considered here for our optimization problem, since they are efficient for power system optimization problems, easy to code, have a faster convergence rate, and have a substructure that is suitable for parallel calculation rather than other optimization methods. In order to evaluate the suggested method’s performance, it is applied to an IEEE 33-bus radial distribution system that is considered as an RMG. One-hour resolution of the simultaneous network reconfiguration (NR) and the optimal dispatch (OD) of distributed DGs are carried out prior to this main study in order to validate the effectiveness and superiority of the proposed approach by comparing relevant recent studies in the literature.https://www.mdpi.com/1996-1073/12/10/1858network reconfiguration (NR)optimal dispatch (OD)RMGoperational schedulingSPSO |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Fatma Yaprakdal Mustafa Baysal Amjad Anvari-Moghaddam |
spellingShingle |
Fatma Yaprakdal Mustafa Baysal Amjad Anvari-Moghaddam Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources Energies network reconfiguration (NR) optimal dispatch (OD) RMG operational scheduling SPSO |
author_facet |
Fatma Yaprakdal Mustafa Baysal Amjad Anvari-Moghaddam |
author_sort |
Fatma Yaprakdal |
title |
Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources |
title_short |
Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources |
title_full |
Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources |
title_fullStr |
Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources |
title_full_unstemmed |
Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources |
title_sort |
optimal operational scheduling of reconfigurable microgrids in presence of renewable energy sources |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2019-05-01 |
description |
Passive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable microgrids (RMGs) are still in early phase studies, and require further research. RMGs facilitate the integration of distributed generators (DGs) into distribution systems and enable a reconfigurable network topology by the help of remote-controlled switches (RCSs). This paper proposes a day-ahead operational scheduling framework for RMGs by simultaneously making an optimal reconfiguration plan and dispatching controllable distributed generation units (DGUs) considering power loss minimization as an objective. A hybrid approach combining conventional particle swarm optimization (PSO) and selective PSO (SPSO) methods (PSO&SPSO) is suggested for solving this combinatorial, non-linear, and NP-hard complex optimization problem. PSO-based methods are primarily considered here for our optimization problem, since they are efficient for power system optimization problems, easy to code, have a faster convergence rate, and have a substructure that is suitable for parallel calculation rather than other optimization methods. In order to evaluate the suggested method’s performance, it is applied to an IEEE 33-bus radial distribution system that is considered as an RMG. One-hour resolution of the simultaneous network reconfiguration (NR) and the optimal dispatch (OD) of distributed DGs are carried out prior to this main study in order to validate the effectiveness and superiority of the proposed approach by comparing relevant recent studies in the literature. |
topic |
network reconfiguration (NR) optimal dispatch (OD) RMG operational scheduling SPSO |
url |
https://www.mdpi.com/1996-1073/12/10/1858 |
work_keys_str_mv |
AT fatmayaprakdal optimaloperationalschedulingofreconfigurablemicrogridsinpresenceofrenewableenergysources AT mustafabaysal optimaloperationalschedulingofreconfigurablemicrogridsinpresenceofrenewableenergysources AT amjadanvarimoghaddam optimaloperationalschedulingofreconfigurablemicrogridsinpresenceofrenewableenergysources |
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