Optimal Sizing and Siting of Distributed Generators by a Weighted Exhaustive Search

Pesaran, Mahmoud; Zin, Abdullah Asuhaimi Mohd; Khairuddin, Azhar; Shariati, Omid

doi:10.1080/15325008.2014.921947

Cited by 20 publications

(4 citation statements)

References 42 publications

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“…It has high‐computational tendency as a drawback. Pesaran et al proposes a multivariable exhaustive search method for finding optimal size and location of REHDG units consisting of photovoltaic and wind. ES method is also applied in Khan and Choudhry to optimise the size, number and placement of DG units using voltage profile improvement as an objective function.…”

Section: Optimisation Algorithms For Dg Allocation Planningmentioning

confidence: 99%

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

2020

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Summary Integrating renewable energy hybrid distributed generation (REHDG) into distribution network systems (DNSs) has become increasingly important because of various technical, economic, and environmental advantages accruing from it. However, the output power of REHDGs from photovoltaic (PV) and wind is highly variable because of its dependency on intermittent parameters such as solar irradiance, temperature, and wind speed. Such variability of generated power from large‐scale REHDGs or load introduces small signal instabilities (oscillations). Meanwhile, different locations of integration and sizes of REHDGs in the DNS affect the system oscillation modes by either improving or depriving the small‐signal stability (SSS) of the network. Consequently, a significant number of research has been conducted on the planning of optimal allocation of REHDGs in DNS. In this regard, this paper reviews the existing planning models, optimisation techniques, and resources' uncertainty modelling employed in REHDGs allocations in terms of their capability in obtaining optimal solutions and enhancing SSS of the system. Planning models with optimisation algorithms are evaluated for modelling renewable resource uncertainties and curtailing SSS variables. Research works on planning of optimal allocation of these generations attain minimum cost, but were unable to satisfy the SSS requirements of the system. The existing models for the planning and design of optimal timing, sizing, and placement of REHDGs will need to be improved to optimally allocate REHDGs and satisfy the SSS of the DNS after the integration.

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Section: Optimisation Algorithms For Dg Allocation Planningmentioning

confidence: 99%

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

2020

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“…A metaheuristic Harmony Search Algorithm (HSA) was presented in [18] to address the ODG allocation problem with loss minimization as an objective. An Exhaustive Search Algorithm (ESA) was proposed in [19] for single and multiple ODG allocations to minimize both active and reactive power losses. The authors in [20] employed an LSF analysis to locate DG units and utilized the Nature-Inspired Intelligent Water Drop (IWD) optimization algorithm for DG sizing.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

Fettah,

Guia,

Salhi

et al. 2024

Sustainability

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Recent advancements in renewable energy technologies, alongside changes in utility infrastructure and progressive government policies, have bolstered the integration of renewable-based distributed generation units within distribution systems. This paper introduces the Energy Valley Optimizer, a novel tool designed for the strategic placement of distributed generation units and capacitor banks. This placement is crucial not only for optimizing energy loss and enhancing bus voltage stability but also for promoting sustainable energy use and reducing environmental impact over the long term. By minimizing energy loss and voltage fluctuations, the optimizer contributes to a more sustainable and resilient energy system. It achieves this through the optimal allocation of resources across various load patterns within a 24 h period and is tested on the ALG-AB-Hassi-Sida 157-bus distribution network in South Algeria. Comparative analysis with existing algorithms—such as the Liver Cancer Algorithm, Walrus Optimization Algorithm, and Zebra Optimization Algorithm—demonstrates the superior performance of the Energy Valley Optimizer. It not only enhances technical and economic efficiencies but also significantly lowers the total cost of energy over 24 years, thus supporting sustainable development goals in energy management.

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“…Değiştirilmiş ateş böceği optimizasyonu kullanılan bir başka çalışma dağıtım şebekesindeki DÜ'lerin optimal planlamasını irdelemiştir [14]. Şebeke parametrelerini iyileştirmek ağırlık kapsamlı arama optimizasyonu ile DÜ' lerin optimum büyüklük ve yerinin belirlenmesi başka bir yöntem olarak ön plana çıkmıştır [15]. Chen ve arkadaşları güç sistemlerinde gerilim değişimi ve güç kayıplarının minimizasyonu için parçacık sürü optimizasyonu (PSO) algoritmasıyla arttırılmış çoklu-amaç fonksiyonun optimizasyonu kullanmışlardır [16].…”

Section: Introductionunclassified

OBPSO Kullanılarak Dağıtık Güneş Enerji Sistemlerinin Optimum Bağlantı Gücü ve Yerinin Belirlenmesi

Çeçen

Yavuz

2022

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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Bu çalışmada, dağıtık üretim (DÜ) sistemlerinin optimum şebeke entegrasyonu probleminin çözümü için zıtlık tabanlı parçacık sürü optimizasyonu (OBPSO) kullanımı önerilmektedir. Önerilen OBPSO yöntemi, DÜ'nün optimum yer ve büyüklük değerlerini bulurken çok amaçlı optimizasyon yaklaşımı kullanmaktadır. Ayrıca yük değişimlerine karşı duyarlılık analizi yöntemi ortaya konmuş ve yeni bir amaç fonksiyonu olarak da kullanılmıştır. Amaç fonksiyonları, aktif güç kaybı, gerilim değişimi ve duyarlılık analizi minimizasyonundan oluşmaktadır. DÜ kaynağı olarak fotovoltaik tabanlı güneş enerji sistemleri (DGES) esas alınmıştır. Birim güç faktörü ile işletilen 3 adet DGES eklendiği durumlar değerlendirilmiş ve amaç fonksiyonlarının değişimleri analiz edilmiştir. Önerilen metodun etkinliği standart test sistemlerinden IEEE 33 baralı dağıtım sistemi kullanılarak araştırılmıştır. Yük akışı analizi içi MATPOWER paket programı kullanılmıştır. Elde edilen sonuçlar literatürde bulunan diğer çalışmalarla karşılaştırılmıştır. Neticede, OBPSO yönteminin iyi sonuç verdiği ve karşılaştırılan diğer optimizasyon tekniklerine karşı üstünlükleri olduğu gözlenmiştir. Ayrıca, DGES'nin optimum değerler dikkate alınarak yapılan entegrasyonlarda amaç fonksiyonlarında belirgin iyileşmeye sağladığı gözlenmiştir.

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Optimal Sizing and Siting of Distributed Generators by a Weighted Exhaustive Search

Cited by 20 publications

References 42 publications

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

Towards maximising the integration of renewable energy hybrid distributed generations for small signal stability enhancement: A review

Optimal Allocation of Capacitor Banks and Distributed Generation: A Comparison of Recently Developed Metaheuristic Optimization Techniques on the Real Distribution Networks of ALG-AB-Hassi Sida, Algeria

OBPSO Kullanılarak Dağıtık Güneş Enerji Sistemlerinin Optimum Bağlantı Gücü ve Yerinin Belirlenmesi

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