In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method
The paper presents an in situ parameter estimation method to determine the equivalent circuit parameters of the Synchronous Machines. The parameters of synchronous generator, both cylindrical rotor and salient pole rotor, are estimated based on the circuit model. Genetic algorithm based parameter es...
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| Format: | Article |
| Language: | English |
| Published: |
VSB-Technical University of Ostrava
2016-01-01
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| Series: | Advances in Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://advances.utc.sk/index.php/AEEE/article/view/1707 |
| _version_ | 1797827050396975104 |
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| author | Gopalakrishnan Kalarikovilagam Srinivasan Hosimin Thilagar Srinivasan |
| author_facet | Gopalakrishnan Kalarikovilagam Srinivasan Hosimin Thilagar Srinivasan |
| author_sort | Gopalakrishnan Kalarikovilagam Srinivasan |
| collection | DOAJ |
| description | The paper presents an in situ parameter estimation method to determine the equivalent circuit parameters of the Synchronous Machines. The parameters of synchronous generator, both cylindrical rotor and salient pole rotor, are estimated based on the circuit model. Genetic algorithm based parameter estimation technique is adopted where only one set of in-situ measured load test data is used. Conventional methods viz., EMF, MMF, Potier triangle method uses rated voltage and rated current obtained from more than one operating condition to determine the parameters. However, Genetic Algorithm (GA) based method uses the working voltage and load current of a single operating point obtained from in-situ measured load test data to estimate the parameters. The test results of the GA based parameter estimation method are found to be closer to direct load test results and better than conventional methods. |
| first_indexed | 2024-04-09T12:42:04Z |
| format | Article |
| id | doaj.art-9efa1a64384244039bc0977c540fe18b |
| institution | Directory Open Access Journal |
| issn | 1336-1376 1804-3119 |
| language | English |
| last_indexed | 2024-04-09T12:42:04Z |
| publishDate | 2016-01-01 |
| publisher | VSB-Technical University of Ostrava |
| record_format | Article |
| series | Advances in Electrical and Electronic Engineering |
| spelling | doaj.art-9efa1a64384244039bc0977c540fe18b2023-05-14T20:50:10ZengVSB-Technical University of OstravaAdvances in Electrical and Electronic Engineering1336-13761804-31192016-01-0114325426610.15598/aeee.v14i3.1707819In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm MethodGopalakrishnan Kalarikovilagam Srinivasan0Hosimin Thilagar Srinivasan1Research engineer, IEEE memberAnna University, Faculty of Electrical Engineering, Department of Electrical & Electronics Engineering,The paper presents an in situ parameter estimation method to determine the equivalent circuit parameters of the Synchronous Machines. The parameters of synchronous generator, both cylindrical rotor and salient pole rotor, are estimated based on the circuit model. Genetic algorithm based parameter estimation technique is adopted where only one set of in-situ measured load test data is used. Conventional methods viz., EMF, MMF, Potier triangle method uses rated voltage and rated current obtained from more than one operating condition to determine the parameters. However, Genetic Algorithm (GA) based method uses the working voltage and load current of a single operating point obtained from in-situ measured load test data to estimate the parameters. The test results of the GA based parameter estimation method are found to be closer to direct load test results and better than conventional methods.http://advances.utc.sk/index.php/AEEE/article/view/1707equivalent circuit model, genetic algorithm, parameter estimation, synchronous machines. |
| spellingShingle | Gopalakrishnan Kalarikovilagam Srinivasan Hosimin Thilagar Srinivasan In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method Advances in Electrical and Electronic Engineering equivalent circuit model, genetic algorithm, parameter estimation, synchronous machines. |
| title | In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method |
| title_full | In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method |
| title_fullStr | In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method |
| title_full_unstemmed | In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method |
| title_short | In Situ Parameter Estimation of Synchronous Machines Using Genetic Algorithm Method |
| title_sort | in situ parameter estimation of synchronous machines using genetic algorithm method |
| topic | equivalent circuit model, genetic algorithm, parameter estimation, synchronous machines. |
| url | http://advances.utc.sk/index.php/AEEE/article/view/1707 |
| work_keys_str_mv | AT gopalakrishnankalarikovilagamsrinivasan insituparameterestimationofsynchronousmachinesusinggeneticalgorithmmethod AT hosiminthilagarsrinivasan insituparameterestimationofsynchronousmachinesusinggeneticalgorithmmethod |