Fuzzy analytic hierarchy process based generation management for interconnected power system
Abstract Decision makers consistently face the challenge of simultaneously assessing numerous attributes, determining their respective importance, and selecting an appropriate method for calculating their weights. This article addresses the problem of automatic generation control (AGC) in a two area...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-05-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-61524-2 |
| _version_ | 1831879866311507968 |
|---|---|
| author | T. Varshney A. V. Waghmare V. P. Singh V. P. Meena R Anand Baseem Khan |
| author_facet | T. Varshney A. V. Waghmare V. P. Singh V. P. Meena R Anand Baseem Khan |
| author_sort | T. Varshney |
| collection | DOAJ |
| description | Abstract Decision makers consistently face the challenge of simultaneously assessing numerous attributes, determining their respective importance, and selecting an appropriate method for calculating their weights. This article addresses the problem of automatic generation control (AGC) in a two area power system (2-APS) by proposing fuzzy analytic hierarchy process (FAHP), an multi-attribute decision-making (MADM) technique, to determine weights for sub-objective functions. The integral-time-absolute-errors (ITAE) of tie-line power fluctuation, frequency deviations and area control errors, are defined as the sub-objectives. Each of these is given a weight by the FAHP method, which then combines them into an single final objective function. This objective function is then used to design a PID controller. To improve the optimization of the objective function, the Jaya optimization algorithm (JOA) is used in conjunction with other optimization techniques such as sine cosine algorithm (SCA), Luus–Jaakola algorithm (LJA), Nelder–Mead simplex algorithm (NMSA), symbiotic organism search algorithm (SOSA) and elephant herding optimization algorithm (EHOA). Six distinct experimental cases are conducted to evaluate the controller’s performance under various load conditions, with data plotted to show responses corresponding to fluctuations in frequency and tie-line exchange. Furthermore, statistical analysis is performed to gain a better understanding of the effectiveness of the JOA-based PID controller. For non-parametric evaluation, Friedman rank test is also used to validate the performance of the proposed JOA-based controller. |
| first_indexed | 2025-03-21T21:54:15Z |
| format | Article |
| id | doaj.art-6e45e5c1af97438f8d6fcade9bbc36fb |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2025-03-21T21:54:15Z |
| publishDate | 2024-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-6e45e5c1af97438f8d6fcade9bbc36fb2024-05-26T11:17:28ZengNature PortfolioScientific Reports2045-23222024-05-0114112410.1038/s41598-024-61524-2Fuzzy analytic hierarchy process based generation management for interconnected power systemT. Varshney0A. V. Waghmare1V. P. Singh2V. P. Meena3R Anand4Baseem Khan5Department of EECE, SSET, Sharda UniversityDepartment of Electrical Engineering, Malaviya National Institute of TechnologyDepartment of Electrical Engineering, Malaviya National Institute of TechnologyDepartment of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa VidyapeethamDepartment of Electrical and Electronics Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa VidyapeethamDepartment of Electrical and Computer Engineering, Hawassa UniversityAbstract Decision makers consistently face the challenge of simultaneously assessing numerous attributes, determining their respective importance, and selecting an appropriate method for calculating their weights. This article addresses the problem of automatic generation control (AGC) in a two area power system (2-APS) by proposing fuzzy analytic hierarchy process (FAHP), an multi-attribute decision-making (MADM) technique, to determine weights for sub-objective functions. The integral-time-absolute-errors (ITAE) of tie-line power fluctuation, frequency deviations and area control errors, are defined as the sub-objectives. Each of these is given a weight by the FAHP method, which then combines them into an single final objective function. This objective function is then used to design a PID controller. To improve the optimization of the objective function, the Jaya optimization algorithm (JOA) is used in conjunction with other optimization techniques such as sine cosine algorithm (SCA), Luus–Jaakola algorithm (LJA), Nelder–Mead simplex algorithm (NMSA), symbiotic organism search algorithm (SOSA) and elephant herding optimization algorithm (EHOA). Six distinct experimental cases are conducted to evaluate the controller’s performance under various load conditions, with data plotted to show responses corresponding to fluctuations in frequency and tie-line exchange. Furthermore, statistical analysis is performed to gain a better understanding of the effectiveness of the JOA-based PID controller. For non-parametric evaluation, Friedman rank test is also used to validate the performance of the proposed JOA-based controller.https://doi.org/10.1038/s41598-024-61524-2Fuzzy AHPAHPJaya optimization algorithmPID controllerAGCPower system |
| spellingShingle | T. Varshney A. V. Waghmare V. P. Singh V. P. Meena R Anand Baseem Khan Fuzzy analytic hierarchy process based generation management for interconnected power system Scientific Reports Fuzzy AHP AHP Jaya optimization algorithm PID controller AGC Power system |
| title | Fuzzy analytic hierarchy process based generation management for interconnected power system |
| title_full | Fuzzy analytic hierarchy process based generation management for interconnected power system |
| title_fullStr | Fuzzy analytic hierarchy process based generation management for interconnected power system |
| title_full_unstemmed | Fuzzy analytic hierarchy process based generation management for interconnected power system |
| title_short | Fuzzy analytic hierarchy process based generation management for interconnected power system |
| title_sort | fuzzy analytic hierarchy process based generation management for interconnected power system |
| topic | Fuzzy AHP AHP Jaya optimization algorithm PID controller AGC Power system |
| url | https://doi.org/10.1038/s41598-024-61524-2 |
| work_keys_str_mv | AT tvarshney fuzzyanalytichierarchyprocessbasedgenerationmanagementforinterconnectedpowersystem AT avwaghmare fuzzyanalytichierarchyprocessbasedgenerationmanagementforinterconnectedpowersystem AT vpsingh fuzzyanalytichierarchyprocessbasedgenerationmanagementforinterconnectedpowersystem AT vpmeena fuzzyanalytichierarchyprocessbasedgenerationmanagementforinterconnectedpowersystem AT ranand fuzzyanalytichierarchyprocessbasedgenerationmanagementforinterconnectedpowersystem AT baseemkhan fuzzyanalytichierarchyprocessbasedgenerationmanagementforinterconnectedpowersystem |