AGC of a multi sources power system with natural choice of power plants
This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Politeknik Elektronika Negeri Surabaya
2019-06-01
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| Series: | Emitter: International Journal of Engineering Technology |
| Subjects: | |
| Online Access: | https://emitter.pens.ac.id/index.php/emitter/article/view/342 |
| _version_ | 1818878253779124224 |
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| author | Jitendra Kumar Garg Anita Khosla Nizamuddin Hakimuddin |
| author_facet | Jitendra Kumar Garg Anita Khosla Nizamuddin Hakimuddin |
| author_sort | Jitendra Kumar Garg |
| collection | DOAJ |
| description | This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generation is replaced by generation from thermal power plants for various case studies under investigation. |
| first_indexed | 2024-12-19T14:11:15Z |
| format | Article |
| id | doaj.art-ff52ae122af9425f891aa7d10289cf32 |
| institution | Directory Open Access Journal |
| issn | 2355-391X 2443-1168 |
| language | English |
| last_indexed | 2024-12-19T14:11:15Z |
| publishDate | 2019-06-01 |
| publisher | Politeknik Elektronika Negeri Surabaya |
| record_format | Article |
| series | Emitter: International Journal of Engineering Technology |
| spelling | doaj.art-ff52ae122af9425f891aa7d10289cf322022-12-21T20:18:08ZengPoliteknik Elektronika Negeri SurabayaEmitter: International Journal of Engineering Technology2355-391X2443-11682019-06-017110.24003/emitter.v7i1.342342AGC of a multi sources power system with natural choice of power plantsJitendra Kumar Garg0Anita Khosla1Nizamuddin Hakimuddin2Manav Rachna International UniversityManav Rachna International UniversityNew Okhla Industrial Development Authority, Noida, Uttar Pardesh, IndiaThis paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generation is replaced by generation from thermal power plants for various case studies under investigation.https://emitter.pens.ac.id/index.php/emitter/article/view/342Multi SourcesAGCOptimal ControllerEigenvaluesDynamic Performance. |
| spellingShingle | Jitendra Kumar Garg Anita Khosla Nizamuddin Hakimuddin AGC of a multi sources power system with natural choice of power plants Emitter: International Journal of Engineering Technology Multi Sources AGC Optimal Controller Eigenvalues Dynamic Performance. |
| title | AGC of a multi sources power system with natural choice of power plants |
| title_full | AGC of a multi sources power system with natural choice of power plants |
| title_fullStr | AGC of a multi sources power system with natural choice of power plants |
| title_full_unstemmed | AGC of a multi sources power system with natural choice of power plants |
| title_short | AGC of a multi sources power system with natural choice of power plants |
| title_sort | agc of a multi sources power system with natural choice of power plants |
| topic | Multi Sources AGC Optimal Controller Eigenvalues Dynamic Performance. |
| url | https://emitter.pens.ac.id/index.php/emitter/article/view/342 |
| work_keys_str_mv | AT jitendrakumargarg agcofamultisourcespowersystemwithnaturalchoiceofpowerplants AT anitakhosla agcofamultisourcespowersystemwithnaturalchoiceofpowerplants AT nizamuddinhakimuddin agcofamultisourcespowersystemwithnaturalchoiceofpowerplants |