Power Distribution Loss Reduction Using Cuckoo Search

Fuad, Nursyaza Afida Ahmad; Azlin, Ahmad Ammar Nor; Zahari, Mohd Faris Danial; Hanifah, Mohd Shahrin Abu

doi:10.1109/iccce.2018.8539252

Cited by 8 publications

(2 citation statements)

References 18 publications

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“…In order to see the effectiveness of the multi-objective technique, the above results are compared with the single-objective approach [22] demonstrated in Error! Reference source not found..…”

Section: Comparison With Single-objective Algorithmmentioning

confidence: 99%

Optimal Distribution Network Reconfiguration Using Multi-Objective Cuckoo Search Algorithm

Saedi

Hanifah

Ladin

et al. 2022

IIUMEJ

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In power system electricity delivery, the distribution system has the most electricity loss as the system has the highest R/X ratio and has a radial network at one time. Optimal reconfiguration of the distribution network is needed in order to reduce power losses. However, as it is also involved with multiple objectives and constraint problems such as switching frequency, voltage, and current limits, it is difficult to find the optimal solution. Hence, this paper proposes the Multi-objective Cuckoo Search (MOCS) algorithm to find the optimal reconfiguration of distribution networks by considering minimizing power losses and switch operations. Based on the simulation results on the IEEE-33 bus system, the performance of the MOCS-based scheme has been found to be significantly better than the single-objective algorithm thereby reducing approximately 33% of the power losses. ABSTRAK Melalui sistem penghantaran jana kuasa elektrik, sistem pengagihan mempunyai pembaziran tenaga elektrik terbesar kerana sistem ini mempunyai nisbah R/X paling tinggi dan mempunyai satu rangkaian radial pada tiap-tiap satu masa. Konfigurasi semula rangkaian pengedaran yang optimum diperlukan bagi mengurangkan pembaziran tenaga. Walaubagaimanapun, oleh kerana ia melibatkan objektif dan kekangan masalah yang pelbagai seperti kadar peralihan, had voltan serta arus, adalah sukar bagi mendapatkan bacaan yang optimum. Oleh itu, kajian ini mencadangkan Carian Cuckoo Pelbagai Objektif (MOCS) bagi mencari konfigurasi semula yang optimum bagi sistem pengagihan tenaga dengan mengambil kira pengurangan pembaziran tenaga dan kadar peralihan. Berdasarkan keputusan simulasi pada sistem bas IEEE-33, pretasi MOCS telah menunjukkan peningkatan yang ketara berbanding algoritma objektif tunggal dan pengurangan sebanyak 33% tenaga.

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Section: Comparison With Single-objective Algorithmmentioning

confidence: 99%

Optimal Distribution Network Reconfiguration Using Multi-Objective Cuckoo Search Algorithm

Saedi

Hanifah

Ladin

et al. 2022

IIUMEJ

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“…Different methods have been proposed to solve these problems, which can be divided into traditional and modern methods a reconfiguration is a large-scale, non-linear, and constrained optimization problem with a single objective and multi-objective functions. In [9][10][11][12][13][14][15][16][17] showed reconfiguration benefits based on improving performance of radial distribution network (RDN). And optimal power flow model for losses reduction and improving voltage profile by different optimization techniques.…”

Section: Introductionmentioning

confidence: 99%

Optimal Reconfiguration and Optimal Allocation of Distributed Generation Using Different Optimization Techniques

Romeh

Allam²,

Spea

et al. 2022

ERJ. Engineering Research Journal

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Voltage drop and power losses are existing problems in radial distribution networks. Reconfiguration in distribution network aims to find the best switching combination of system branches that optimize a certain objective function while satisfying some specified constraints, which improves the quality of electrical power and used to increase the distribution network's performance. This paper presents optimal methods for optimizing of the distribution system reconfiguration and installation of DG units in distribution system for minimizing the losses of active power and improving bus voltage profile based on different optimization techniques such as a binary particle swarm optimization (BPSO) algorithm, binary Jaya (BJA) algorithm and Grasshopper Optimization algorithm (GOA). The load flow calculations are carried out using the backward/forward sweep method. The proposed methods are put to the test in the distribution system for the 33-bus test system. The simulation results find that the proposed algorithms reduced the losses of active power and increasing of system bus voltage, and solve the system reconfiguration problem and enhance the distribution system performance after adding of DG. The comparative results prove the efficiency of these methods compared to the other reported algorithms. The results further indicate the superiority of BJA technology over proposed technology's improved system performance.

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Improving Reliability in Distribution Systems through Optimal Allocation of Distributed Generators, Network Reconfiguration and Capacitor Placement

Chaitra,

Sudarshana Reddy

2024

SN COMPUT. SCI.

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Power Distribution Loss Reduction Using Cuckoo Search

Cited by 8 publications

References 18 publications

Optimal Distribution Network Reconfiguration Using Multi-Objective Cuckoo Search Algorithm

Optimal Distribution Network Reconfiguration Using Multi-Objective Cuckoo Search Algorithm

Optimal Reconfiguration and Optimal Allocation of Distributed Generation Using Different Optimization Techniques

Improving Reliability in Distribution Systems through Optimal Allocation of Distributed Generators, Network Reconfiguration and Capacitor Placement

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