Excitation Control Enhancement for the Synchronous Generator Using Effective Control Methodology.
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| Title: | Excitation Control Enhancement for the Synchronous Generator Using Effective Control Methodology. |
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| Authors: | N. Jasim, Hawraa1,2 hawraa.jasim.iba9@atu.edu.iq, K. Abdalla, Kasim2 |
| Source: | Iraqi Journal for Electrical & Electronic Engineering. Jun2026, Vol. 22 Issue 1, p540-552. 13p. |
| Subjects: | Synchronous generators, PID controllers, Artificial neural networks, Electric power system stability, Feedback control systems, Voltage control, Simulated annealing, Electric power systems |
| Abstract (English): | In electrical power plants, the excitation control system is an important part of controlling the output voltage of the synchronous generators. The purpose of this paper is to utilize various methods of excitation control, such as Proportional-Integral-Derivative (PID), Simulated Annealing (SA), and Neural Network (NN) controllers. Each method is examined in terms of its effectiveness in enhancing system stability, reliability, and adaptability to varying operational conditions. The study simulates and optimizes a 2 MVA/400 V synchronous generator driven by a three-phase diesel engine with mechanical coupling and an exciter system. MATLAB 2021 is used to implement the Simulink model. The dynamic responses of field voltage and field current to load changes were analyzed for each control technique. Additionally, the performance of three-phase voltage and current for synchronous generator were examined over a 10-second timeframe. Our findings indicate that the PID controller offers straightforward implementation and reliable performance under varying conditions. The NN controller implementation is more similar to the PID response, and the SA controller demonstrates superior adaptability. The research underscores the potential of integrating these advanced control techniques in synchronous generators, paving the way for enhanced stability and reliability in modern electric power systems, with further implications for renewable energy integration. [ABSTRACT FROM AUTHOR] |
| Abstract (Arabic): | يركز المقال على تحسين التحكم في الإثارة للمولدات المتزامنة من خلال مقارنة ثلاث منهجيات تحكم: المتحكم التناسبي-التكاملي-التفاضلي (PID)، والشبكة العصبية (NN)، ومتحكم التلدين المحاكى (SA). باستخدام برنامج MATLAB Simulink، تحاكي الدراسة مولدًا متزامنًا بقوة 2 ميجا فولت أمبير وجهد 400 فولت، يعمل بمحرك ديزل ثلاثي الطور مع اقتران ميكانيكي ونظام إثارة، حيث يتم تحليل الاستجابات الديناميكية لجهد التيار الميداني تحت تغيرات الحمل. تشير النتائج إلى أن متحكمي PID وNN يقدمان تنظيمًا موثوقًا للجهد مع استعادة مستقرة لجهد الطرف بعد الاضطرابات، في حين يظهر متحكم SA قدرة أكبر على التكيف لكنه يستغرق وقتًا أطول للاستقرار ويعطي سعة جهد طرف أقل. تسلط الدراسة الضوء على إمكانيات هذه التقنيات المتقدمة في تحسين الاستقرار والموثوقية في أنظمة الطاقة، مع تداعيات مهمة لدمجها مع مصادر الطاقة المتجددة. [Extracted from the article] |
| Copyright of Iraqi Journal for Electrical & Electronic Engineering is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194879627 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Excitation Control Enhancement for the Synchronous Generator Using Effective Control Methodology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22N%2E+Jasim%2C+Hawraa%22">N. Jasim, Hawraa</searchLink><relatesTo>1,2</relatesTo><i> hawraa.jasim.iba9@atu.edu.iq</i><br /><searchLink fieldCode="AR" term="%22K%2E+Abdalla%2C+Kasim%22">K. Abdalla, Kasim</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Iraqi+Journal+for+Electrical+%26+Electronic+Engineering%22">Iraqi Journal for Electrical & Electronic Engineering</searchLink>. Jun2026, Vol. 22 Issue 1, p540-552. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Synchronous+generators%22">Synchronous generators</searchLink><br /><searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Voltage+control%22">Voltage control</searchLink><br /><searchLink fieldCode="DE" term="%22Simulated+annealing%22">Simulated annealing</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+systems%22">Electric power systems</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: In electrical power plants, the excitation control system is an important part of controlling the output voltage of the synchronous generators. The purpose of this paper is to utilize various methods of excitation control, such as Proportional-Integral-Derivative (PID), Simulated Annealing (SA), and Neural Network (NN) controllers. Each method is examined in terms of its effectiveness in enhancing system stability, reliability, and adaptability to varying operational conditions. The study simulates and optimizes a 2 MVA/400 V synchronous generator driven by a three-phase diesel engine with mechanical coupling and an exciter system. MATLAB 2021 is used to implement the Simulink model. The dynamic responses of field voltage and field current to load changes were analyzed for each control technique. Additionally, the performance of three-phase voltage and current for synchronous generator were examined over a 10-second timeframe. Our findings indicate that the PID controller offers straightforward implementation and reliable performance under varying conditions. The NN controller implementation is more similar to the PID response, and the SA controller demonstrates superior adaptability. The research underscores the potential of integrating these advanced control techniques in synchronous generators, paving the way for enhanced stability and reliability in modern electric power systems, with further implications for renewable energy integration. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Arabic) Group: Ab Data: يركز المقال على تحسين التحكم في الإثارة للمولدات المتزامنة من خلال مقارنة ثلاث منهجيات تحكم: المتحكم التناسبي-التكاملي-التفاضلي (PID)، والشبكة العصبية (NN)، ومتحكم التلدين المحاكى (SA). باستخدام برنامج MATLAB Simulink، تحاكي الدراسة مولدًا متزامنًا بقوة 2 ميجا فولت أمبير وجهد 400 فولت، يعمل بمحرك ديزل ثلاثي الطور مع اقتران ميكانيكي ونظام إثارة، حيث يتم تحليل الاستجابات الديناميكية لجهد التيار الميداني تحت تغيرات الحمل. تشير النتائج إلى أن متحكمي PID وNN يقدمان تنظيمًا موثوقًا للجهد مع استعادة مستقرة لجهد الطرف بعد الاضطرابات، في حين يظهر متحكم SA قدرة أكبر على التكيف لكنه يستغرق وقتًا أطول للاستقرار ويعطي سعة جهد طرف أقل. تسلط الدراسة الضوء على إمكانيات هذه التقنيات المتقدمة في تحسين الاستقرار والموثوقية في أنظمة الطاقة، مع تداعيات مهمة لدمجها مع مصادر الطاقة المتجددة. [Extracted from the article] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Iraqi Journal for Electrical & Electronic Engineering is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.37917/ijeee.22.1.48 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 540 Subjects: – SubjectFull: Synchronous generators Type: general – SubjectFull: PID controllers Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: Electric power system stability Type: general – SubjectFull: Feedback control systems Type: general – SubjectFull: Voltage control Type: general – SubjectFull: Simulated annealing Type: general – SubjectFull: Electric power systems Type: general Titles: – TitleFull: Excitation Control Enhancement for the Synchronous Generator Using Effective Control Methodology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: N. Jasim, Hawraa – PersonEntity: Name: NameFull: K. Abdalla, Kasim IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18145892 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Iraqi Journal for Electrical & Electronic Engineering Type: main |
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