Reduction of Load Shedding to Enhance Voltage and Frequency Distribution Network Using PSO-ANN.
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| Title: | Reduction of Load Shedding to Enhance Voltage and Frequency Distribution Network Using PSO-ANN. |
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| Authors: | Hameed Abdel Mohsen, Oday1,2 eee.21.15@grad.uotechnology.edu.iq, Kdair Abd, Mohammed1 |
| Source: | Iraqi Journal for Electrical & Electronic Engineering. Jun2026, Vol. 22 Issue 1, p56-67. 12p. |
| Subjects: | Electrical load shedding, Particle swarm optimization, Electric power system stability, Electric power distribution grids, Multi-objective optimization, Electric loss in electric power systems |
| Abstract (English): | The distribution network suffers from low voltage problems, low frequency, and rising power losses greater than transmission systems. Load shedding is one solution to these challenges and is widely regarded as the last choice for avoiding voltage collapse and outages caused by significant disturbances. The conventional approach to load shedding reduces loads without regard for their significance until the voltage of the network is enhanced. Shedding loads without taking priority into account will cause power interruptions in critical facilities. In this paper, PSO-ANN algorithm-based load shedding to improve the voltage and frequency of distribution networks. Furthermore, a multi-objective function is developed that takes into account the linear static voltage stability margin (VSM) and the amount of load reduction. The aim of the work is to obtain the optimal level of voltage stability and remaining load when implementing load shedding while maintaining the load priority of each bus in the distribution network. Using MATLAB software requirements, the proposed technique has been implemented for two scenarios (overload, line disconnection) of the IEEE 33 bus system. The results showed that the proposed technique is the most distinctive compared to the results of the voltage sensitivity method and the conventional approach. [ABSTRACT FROM AUTHOR] |
| Abstract (Arabic): | يركز المقال على تطوير طريقة مثلى لخفض الأحمال عند انخفاض الجهد (UVLS) في شبكات التوزيع الكهربائية باستخدام خوارزمية هجينة تجمع بين تحسين سرب الجسيمات (PSO) والشبكات العصبية الاصطناعية (ANN). تهدف هذه الطريقة التي تعتمد على تدريب الشبكة العصبية الاصطناعية بواسطة خوارزمية تحسين سرب الجسيمات إلى تعزيز هامش استقرار الجهد (VSM)، والحفاظ على أولويات الأحمال، وتقليل خسائر الطاقة، وتحسين ملفات التردد والجهد أثناء الاضطرابات مثل الأحمال الزائدة وانقطاع الخطوط. تم تنفيذ واختبار الطريقة المقترحة على نظام IEEE المكون من 33 نقطة توزيع تحت سيناريوهات مختلفة، حيث أظهرت أداءً متفوقًا مقارنة بأساليب خفض الأحمال التقليدية والمعتمدة على الحساسية من خلال تحقيق استقرار جهد أعلى، واحتفاظ أكبر بالأحمال ضمن حدود الأولوية، وتقليل كبير في خسائر القدرة الفعالة والقدرة المتفاعلة. تشير الدراسة إلى أن خوارزمية PSO-ANN توفر حلاً فعالاً وموثوقًا لخفض الأحمال الطارئ في شبكات التوزيع، مع تطبيقات مستقبلية محتملة تشمل سيناريوهات الطوارئ المتعددة وأنظمة التوزيع العراقية الواقعية. [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 |
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| Items | – Name: Title Label: Title Group: Ti Data: Reduction of Load Shedding to Enhance Voltage and Frequency Distribution Network Using PSO-ANN. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hameed+Abdel+Mohsen%2C+Oday%22">Hameed Abdel Mohsen, Oday</searchLink><relatesTo>1,2</relatesTo><i> eee.21.15@grad.uotechnology.edu.iq</i><br /><searchLink fieldCode="AR" term="%22Kdair+Abd%2C+Mohammed%22">Kdair Abd, Mohammed</searchLink><relatesTo>1</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, p56-67. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Electrical+load+shedding%22">Electrical load shedding</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+system+stability%22">Electric power system stability</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+distribution+grids%22">Electric power distribution grids</searchLink><br /><searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+loss+in+electric+power+systems%22">Electric loss in electric power systems</searchLink> – Name: Abstract Label: Abstract (English) Group: Ab Data: The distribution network suffers from low voltage problems, low frequency, and rising power losses greater than transmission systems. Load shedding is one solution to these challenges and is widely regarded as the last choice for avoiding voltage collapse and outages caused by significant disturbances. The conventional approach to load shedding reduces loads without regard for their significance until the voltage of the network is enhanced. Shedding loads without taking priority into account will cause power interruptions in critical facilities. In this paper, PSO-ANN algorithm-based load shedding to improve the voltage and frequency of distribution networks. Furthermore, a multi-objective function is developed that takes into account the linear static voltage stability margin (VSM) and the amount of load reduction. The aim of the work is to obtain the optimal level of voltage stability and remaining load when implementing load shedding while maintaining the load priority of each bus in the distribution network. Using MATLAB software requirements, the proposed technique has been implemented for two scenarios (overload, line disconnection) of the IEEE 33 bus system. The results showed that the proposed technique is the most distinctive compared to the results of the voltage sensitivity method and the conventional approach. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Abstract (Arabic) Group: Ab Data: يركز المقال على تطوير طريقة مثلى لخفض الأحمال عند انخفاض الجهد (UVLS) في شبكات التوزيع الكهربائية باستخدام خوارزمية هجينة تجمع بين تحسين سرب الجسيمات (PSO) والشبكات العصبية الاصطناعية (ANN). تهدف هذه الطريقة التي تعتمد على تدريب الشبكة العصبية الاصطناعية بواسطة خوارزمية تحسين سرب الجسيمات إلى تعزيز هامش استقرار الجهد (VSM)، والحفاظ على أولويات الأحمال، وتقليل خسائر الطاقة، وتحسين ملفات التردد والجهد أثناء الاضطرابات مثل الأحمال الزائدة وانقطاع الخطوط. تم تنفيذ واختبار الطريقة المقترحة على نظام IEEE المكون من 33 نقطة توزيع تحت سيناريوهات مختلفة، حيث أظهرت أداءً متفوقًا مقارنة بأساليب خفض الأحمال التقليدية والمعتمدة على الحساسية من خلال تحقيق استقرار جهد أعلى، واحتفاظ أكبر بالأحمال ضمن حدود الأولوية، وتقليل كبير في خسائر القدرة الفعالة والقدرة المتفاعلة. تشير الدراسة إلى أن خوارزمية PSO-ANN توفر حلاً فعالاً وموثوقًا لخفض الأحمال الطارئ في شبكات التوزيع، مع تطبيقات مستقبلية محتملة تشمل سيناريوهات الطوارئ المتعددة وأنظمة التوزيع العراقية الواقعية. [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.22.1.6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 56 Subjects: – SubjectFull: Electrical load shedding Type: general – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Electric power system stability Type: general – SubjectFull: Electric power distribution grids Type: general – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Electric loss in electric power systems Type: general Titles: – TitleFull: Reduction of Load Shedding to Enhance Voltage and Frequency Distribution Network Using PSO-ANN. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hameed Abdel Mohsen, Oday – PersonEntity: Name: NameFull: Kdair Abd, Mohammed 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 |
| ResultId | 1 |
