Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer
Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The New...
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| Autor*in: |
Mahapatra, Sheila [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 |
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| Übergeordnetes Werk: |
Enthalten in: International Journal of Systems Assurance Engineering and Management - Springer-Verlag, 2010, 13(2021), 2 vom: 25. Sept., Seite 721-734 |
|---|---|
| Übergeordnetes Werk: |
volume:13 ; year:2021 ; number:2 ; day:25 ; month:09 ; pages:721-734 |
| Links: |
|---|
| DOI / URN: |
10.1007/s13198-021-01334-1 |
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SPR046841555 |
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| 520 | |a Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. | ||
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| 700 | 1 | |a Srinivasan, Mohan Krishna |4 aut | |
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10.1007/s13198-021-01334-1 doi (DE-627)SPR046841555 (SPR)s13198-021-01334-1-e DE-627 ger DE-627 rakwb eng Mahapatra, Sheila verfasserin aut Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. TCSC (dpeaa)DE-He213 Optimal allocation (dpeaa)DE-He213 Ant-lion optimizer (dpeaa)DE-He213 Cuckoo search (dpeaa)DE-He213 Optimal power flow (dpeaa)DE-He213 Malik, Nitin aut Raj, Saurav (orcid)0000-0002-1875-3903 aut Srinivasan, Mohan Krishna aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 13(2021), 2 vom: 25. Sept., Seite 721-734 (DE-627)SPR031222420 nnns volume:13 year:2021 number:2 day:25 month:09 pages:721-734 https://dx.doi.org/10.1007/s13198-021-01334-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2021 2 25 09 721-734 |
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10.1007/s13198-021-01334-1 doi (DE-627)SPR046841555 (SPR)s13198-021-01334-1-e DE-627 ger DE-627 rakwb eng Mahapatra, Sheila verfasserin aut Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. TCSC (dpeaa)DE-He213 Optimal allocation (dpeaa)DE-He213 Ant-lion optimizer (dpeaa)DE-He213 Cuckoo search (dpeaa)DE-He213 Optimal power flow (dpeaa)DE-He213 Malik, Nitin aut Raj, Saurav (orcid)0000-0002-1875-3903 aut Srinivasan, Mohan Krishna aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 13(2021), 2 vom: 25. Sept., Seite 721-734 (DE-627)SPR031222420 nnns volume:13 year:2021 number:2 day:25 month:09 pages:721-734 https://dx.doi.org/10.1007/s13198-021-01334-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2021 2 25 09 721-734 |
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10.1007/s13198-021-01334-1 doi (DE-627)SPR046841555 (SPR)s13198-021-01334-1-e DE-627 ger DE-627 rakwb eng Mahapatra, Sheila verfasserin aut Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. TCSC (dpeaa)DE-He213 Optimal allocation (dpeaa)DE-He213 Ant-lion optimizer (dpeaa)DE-He213 Cuckoo search (dpeaa)DE-He213 Optimal power flow (dpeaa)DE-He213 Malik, Nitin aut Raj, Saurav (orcid)0000-0002-1875-3903 aut Srinivasan, Mohan Krishna aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 13(2021), 2 vom: 25. Sept., Seite 721-734 (DE-627)SPR031222420 nnns volume:13 year:2021 number:2 day:25 month:09 pages:721-734 https://dx.doi.org/10.1007/s13198-021-01334-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2021 2 25 09 721-734 |
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10.1007/s13198-021-01334-1 doi (DE-627)SPR046841555 (SPR)s13198-021-01334-1-e DE-627 ger DE-627 rakwb eng Mahapatra, Sheila verfasserin aut Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. TCSC (dpeaa)DE-He213 Optimal allocation (dpeaa)DE-He213 Ant-lion optimizer (dpeaa)DE-He213 Cuckoo search (dpeaa)DE-He213 Optimal power flow (dpeaa)DE-He213 Malik, Nitin aut Raj, Saurav (orcid)0000-0002-1875-3903 aut Srinivasan, Mohan Krishna aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 13(2021), 2 vom: 25. Sept., Seite 721-734 (DE-627)SPR031222420 nnns volume:13 year:2021 number:2 day:25 month:09 pages:721-734 https://dx.doi.org/10.1007/s13198-021-01334-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2021 2 25 09 721-734 |
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10.1007/s13198-021-01334-1 doi (DE-627)SPR046841555 (SPR)s13198-021-01334-1-e DE-627 ger DE-627 rakwb eng Mahapatra, Sheila verfasserin aut Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. TCSC (dpeaa)DE-He213 Optimal allocation (dpeaa)DE-He213 Ant-lion optimizer (dpeaa)DE-He213 Cuckoo search (dpeaa)DE-He213 Optimal power flow (dpeaa)DE-He213 Malik, Nitin aut Raj, Saurav (orcid)0000-0002-1875-3903 aut Srinivasan, Mohan Krishna aut Enthalten in International Journal of Systems Assurance Engineering and Management Springer-Verlag, 2010 13(2021), 2 vom: 25. Sept., Seite 721-734 (DE-627)SPR031222420 nnns volume:13 year:2021 number:2 day:25 month:09 pages:721-734 https://dx.doi.org/10.1007/s13198-021-01334-1 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2021 2 25 09 721-734 |
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Mahapatra, Sheila Malik, Nitin Raj, Saurav Srinivasan, Mohan Krishna |
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Elektronische Aufsätze |
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Mahapatra, Sheila |
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10.1007/s13198-021-01334-1 |
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constrained optimal power flow and optimal tcsc allocation using hybrid cuckoo search and ant lion optimizer |
| title_auth |
Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer |
| abstract |
Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 |
| abstractGer |
Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 |
| abstract_unstemmed |
Abstract This paper works on the solution to Voltage Constrained Optimal Power Flow (VCOPF) problem with the requisite allocation of thyristor-controlled series compensator (TCSC) in IEEE 6-bus and 14-bus transmission network to cut down system power losses and to revamp bus voltage profile. The Newton–Raphson algorithm computes the power flow under normal and overloaded operating conditions. The optimal TCSC location is identified by the Cuckoo Search algorithm (CS) and optimal size is determined using an ant-lion optimizer (ALO). The quadratic fuel cost is chosen as the objective and is subjugated to the equality and inequality constraints. The proposed methodology is validated by contrasting the results to the other hybrid methods such as Fuzzy-Gravitational search algorithm (F-GSA), Improved GSA-Firefly algorithm (IGSA-FA) and Radial basis function neural network-GSA (RBFNN-GSA). The statistical analysis is also carried out for validating the efficacy of the algorithm when compared with other reported methods in the literature. The simulation results obtained on standard test systems manifest the improved performance of proposed hybrid cuckoo search and ant lion optimizer (CS-ALO) in comparison with the other optimization techniques that have emerged in the recent state-of-the-art-literature. © The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2021 |
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Constrained optimal power flow and optimal TCSC allocation using hybrid cuckoo search and ant lion optimizer |
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