A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms
This paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. Rao algorithms are parameter-less optimization algorithms. As a result, algorithm-specific parameter tuning is not required at all. This quality makes these algori...
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| Format: | Article |
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MDPI AG
2021-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/14/17/5449 |
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| author | Saket Gupta Narendra Kumar Laxmi Srivastava Hasmat Malik Amjad Anvari-Moghaddam Fausto Pedro García Márquez |
| author_facet | Saket Gupta Narendra Kumar Laxmi Srivastava Hasmat Malik Amjad Anvari-Moghaddam Fausto Pedro García Márquez |
| author_sort | Saket Gupta |
| collection | DOAJ |
| description | This paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. Rao algorithms are parameter-less optimization algorithms. As a result, algorithm-specific parameter tuning is not required at all. This quality makes these algorithms simple to use and able to solve various kinds of complex constrained optimization and engineering problems. In this paper, the main aim to solve the OPF problem is to find the optimal values of the control variables in a given electrical network for fuel cost minimization, real power losses minimization, emission cost minimization, voltage profile improvement, and voltage stability enhancement, while all the operating constraints are satisfied. To demonstrate the efficacy of Rao algorithms, these algorithms have been employed in three standard IEEE test systems (30-bus, 57-bus, and 118-bus) to solve the OPF problem. The OPF results of Rao algorithms and the results provided by other swarm intelligence (SI)/evolutionary computing (EC)-based algorithms published in recent literature have been compared. Based on the outcomes, Rao algorithms are found to be robust and superior to their competitors. |
| first_indexed | 2024-03-10T08:12:53Z |
| format | Article |
| id | doaj.art-a0c402f66d1e4cc89f266b44a3de5114 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T08:12:53Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-a0c402f66d1e4cc89f266b44a3de51142023-11-22T10:34:49ZengMDPI AGEnergies1996-10732021-09-011417544910.3390/en14175449A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao AlgorithmsSaket Gupta0Narendra Kumar1Laxmi Srivastava2Hasmat Malik3Amjad Anvari-Moghaddam4Fausto Pedro García Márquez5Electrical Engineering Department, Delhi Technological University, Delhi 110042, IndiaElectrical Engineering Department, Delhi Technological University, Delhi 110042, IndiaElectrical Engineering Department, Madhav Institute of Technology & Science, Gwalior 474005, IndiaBerkeley Education Alliance for Research in Singapore (BEARS), University Town, NUS Campus, Singapore 138602, SingaporeDepartment of Energy (AAU Energy), Aalborg University, 9220 Aalborg, DenmarkIngenium Research Group, Universidad Castilla-La Mancha, 13071 Ciudad Real, SpainThis paper offers three easy-to-use metaphor-less optimization algorithms proposed by Rao to solve the optimal power flow (OPF) problem. Rao algorithms are parameter-less optimization algorithms. As a result, algorithm-specific parameter tuning is not required at all. This quality makes these algorithms simple to use and able to solve various kinds of complex constrained optimization and engineering problems. In this paper, the main aim to solve the OPF problem is to find the optimal values of the control variables in a given electrical network for fuel cost minimization, real power losses minimization, emission cost minimization, voltage profile improvement, and voltage stability enhancement, while all the operating constraints are satisfied. To demonstrate the efficacy of Rao algorithms, these algorithms have been employed in three standard IEEE test systems (30-bus, 57-bus, and 118-bus) to solve the OPF problem. The OPF results of Rao algorithms and the results provided by other swarm intelligence (SI)/evolutionary computing (EC)-based algorithms published in recent literature have been compared. Based on the outcomes, Rao algorithms are found to be robust and superior to their competitors.https://www.mdpi.com/1996-1073/14/17/5449fuel costoptimal power flowpower lossesvoltage stabilityvoltage profileemission |
| spellingShingle | Saket Gupta Narendra Kumar Laxmi Srivastava Hasmat Malik Amjad Anvari-Moghaddam Fausto Pedro García Márquez A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms Energies fuel cost optimal power flow power losses voltage stability voltage profile emission |
| title | A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms |
| title_full | A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms |
| title_fullStr | A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms |
| title_full_unstemmed | A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms |
| title_short | A Robust Optimization Approach for Optimal Power Flow Solutions Using Rao Algorithms |
| title_sort | robust optimization approach for optimal power flow solutions using rao algorithms |
| topic | fuel cost optimal power flow power losses voltage stability voltage profile emission |
| url | https://www.mdpi.com/1996-1073/14/17/5449 |
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