Distribution Network Reconfiguration for Voltage Profile Enhancement and Power Loss Reduction Under Hourly Energy Consumption Using Quantum Approximate Optimization Algorithm

Nisa Nacar Çıkan

Article Details

Distribution Network Reconfiguration for Voltage Profile Enhancement and Power Loss Reduction Under Hourly Energy Consumption Using Quantum Approximate Optimization Algorithm

Authors:

Nisa Nacar Çıkan

Publisher:

Cukurova University

Main Topics:

Elektrik Tesisleri

Journal:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.40 Issue 1, pp.79-87

Document Type:

Article

Publication Date:

3/2025

Document Language:

English

Document ID (Org No.):

2001343970

pISSN:

2757-9255

Keywords:

Abstract:

 This paper presents a dynamic reconfiguration of a 33-bus power distribution network using the Quantum Approximate Optimization Algorithm QAOA. The primary objectives are voltage profile improvement and power loss minimization, critical factors for enhancing the overall performance and efficiency of distribution networks. The proposed method adapts to hourly load variations, utilizing real consumer load profiles to account for dynamic changes throughout the day. By incorporating QAOA into the reconfiguration process, the system explores optimal configurations that reduce losses and improve voltage stability under varying operational conditions. The studys findings demonstrate the effectiveness of this approach in dynamically optimizing power distribution networks, contributing to reliable and efficient energy systems.

 This paper presents a dynamic reconfiguration of a 33-bus power distribution network using the Quantum Approximate Optimization Algorithm QAOA. The primary objectives are voltage profile improvement and power loss minimization, critical factors for enhancing the overall performance and efficiency of distribution networks. The proposed method adapts to hourly load variations, utilizing real consumer load profiles to account for dynamic changes throughout the day. By incorporating QAOA into the reconfiguration process, the system explores optimal configurations that reduce losses and improve voltage stability under varying operational conditions. The studys findings demonstrate the effectiveness of this approach in dynamically optimizing power distribution networks, contributing to reliable and efficient energy systems.

 This paper presents a dynamic reconfiguration of a 33-bus power distribution network using the Quantum Approximate Optimization Algorithm QAOA. The primary objectives are voltage profile improvement and power loss minimization, critical factors for enhancing the overall performance and efficiency of distribution networks. The proposed method adapts to hourly load variations, utilizing real consumer load profiles to account for dynamic changes throughout the day. By incorporating QAOA into the reconfiguration process, the system explores optimal configurations that reduce losses and improve voltage stability under varying operational conditions. The studys findings demonstrate the effectiveness of this approach in dynamically optimizing power distribution networks, contributing to reliable and efficient energy systems.

 Bu çalışmada, Kuantum Yaklaşık Optimizasyon Algoritması QAOA kullanarak 33 baralı bir elektrik dağıtım şebekesinin dinamik olarak yeniden yapılandırılması gerçekleştirilmiştir. Çalışmanın temel amacı, dağıtım şebekelerinin genel performansını ve verimliliğini artırmak için kritik faktörler olan güç kaybı minimizasyonu ve voltaj profilinin iyileştirilmesidir. Önerilen yöntem, gün boyunca dinamik değişiklikleri hesaba katarak ve gerçek tüketici yük profillerini kullanarak saatlik yük değişimlerine uyum sağlar. Sistem, OAQAyı yeniden yapılandırma sürecine dahil ederek, değişen operasyonel koşullar altında kayıpları azaltan ve voltaj kararlılığını artıran optimum yapılandırmaları araştırmıştır. Çalışmanın bulguları, bu yaklaşımın elektrik dağıtım şebekelerini dinamik olarak optimize etmedeki etkinliğini göstermekte ve güvenilir ve verimli enerji sistemlerine katkıda bulunmaktadır.

Article Details

Distribution Network Reconfiguration for Voltage Profile Enhancement and Power Loss Reduction Under Hourly Energy Consumption Using Quantum Approximate Optimization Algorithm

Authors:

Nisa Nacar Çıkan

Publisher:

Cukurova University

Main Topics:

Elektrik Tesisleri

Journal:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.40 Issue 1, pp.79-87

Document Type:

Article

Publication Date:

3/2025

Document Language:

English

Document ID (Org No.):

2001343970

pISSN:

2757-9255

Reconfiguration

Dynamic power distribution networks

Power loss minimization

Metaheuristic algorithmYeniden yapılandırma

Dinamik güç dağıtım ağları

Güç kaybı minimizasyonu

Metasezgisel algoritmalar

Issues

Article Details

Authors: Nisa Nacar Çıkan

Publisher: Cukurova University

Main Topics: Elektrik Tesisleri

Journal: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.40 Issue 1, pp.79-87

Document Type: Article

Publication Date: 3/2025

Document Language: English

Document ID (Org No.): 2001343970

pISSN: 2757-9255

Issues

Authors:

Nisa Nacar Çıkan

Publisher:

Cukurova University

Main Topics:

Elektrik Tesisleri

Journal:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.40 Issue 1, pp.79-87

Document Type:

Article

Publication Date:

3/2025

Document Language:

English

Document ID (Org No.):

2001343970

pISSN:

2757-9255