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Relevant bibliographies by topics / BIBC-BCBV

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Journal articles

Academic literature on the topic 'BIBC-BCBV'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "BIBC-BCBV"

1

Sunday, Adeleke Salimon, Adedapo Aderinko Hassan, Ibukun Damilola Fajuke, and Akinkunmi Suuti Kamilu. "Load Flow Analysis of Nigerian Radial Distribution Network Using Backward/Forward Sweep Technique." Journal of VLSI Design and its Advancement 2, no. 3 (2019): 1–11. https://doi.org/10.5281/zenodo.3582970.

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<em>Load flow analysis is an essential and vital part in power system studies. Conventional flow methods such as Newton Raphson and Gauss Seidel are not accurate for radial distribution networks due to its radial topology and high resistance to reactance ratio. In this paper, the backward-forward load flow technique which utilizes the equivalent current injection (ECI), the node injection to branch current (BIBC) and branch current to node-voltage matrix (BCBV). This algorithm was tested on Yale 17-bus and Imalefalafia 32-bus Nigerian radial distribution networks. The analyses of the networks

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2

Akbar Firdaus, Aji, Ontoseno Penangsang, Adi Soeprijanto, and Dimas Fajar U.P. "Distribution Network Reconfiguration Using Binary Particle Swarm Optimization to Minimize Losses and Decrease Voltage Stability Index." Bulletin of Electrical Engineering and Informatics 7, no. 4 (2018): 514–21. http://dx.doi.org/10.11591/eei.v7i4.821.

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Power losses and voltage drop are existing problems in radial distribution networks. This power losses and voltage drop affect the voltage stability level. Reconfiguring the network is a form of approach to improve the quality of electrical power. The network reconfiguration aims to minimize power losses and voltage drop as well as decreasing the Voltage Stability Index (VSI). In this research, network reconfiguration uses binary particle swarm optimization algorithm and Bus Injection to Branch Current-Branch Current to Bus Voltage (BIBC-BCBV) method to analyze the radial system power flow. Th

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3

Firdaus, Aji Akbar, Ontoseno Penangsang, Adi Soeprijanto, and Dimas Fajar U. P. "Distribution Network Reconfiguration Using Binary Particle Swarm Optimization to Minimize Losses and Decrease Voltage Stability Index." Bulletin of Electrical Engineering and Informatics 7, no. 4 (2018): 514–21. https://doi.org/10.11591/eei.v7i4.821.

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Abstract:

Power losses and voltage drop are existing problems in radial distribution networks. This power losses and voltage drop affect the voltage stability level. Reconfiguring the network is a form of approach to improve the quality of electrical power. The network reconfiguration aims to minimize power losses and voltage drop as well as decreasing the Voltage Stability Index (VSI). In this research, network reconfiguration uses binary particle swarm optimization algorithm and Bus Injection to Branch Current-Branch Current to Bus Voltage (BIBC-BCBV) method to analyze the radial system power flow. Th

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4

Apriliani, Niken Dwi, Titiek Suheta, and Affan Bachri. "Analisis Aliran Daya Pada PLTGU Blok 1 PT. PJB Unit Pembangkitan Gresik." JE-Unisla 5, no. 1 (2020): 348. http://dx.doi.org/10.30736/je.v5i1.428.

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The purpose of research was to determine the condition of the power flow (active and reactive power), the voltage of each channel (bus) under normal operating conditions, and the power loss (losses) of each bus at the Block 1 PLTGU PT. PJB Gresik Generating Unit. The method used to analyze the power flow is Forward Backward Sweep by forming a BIBC and BCBV matrix, where the results of the analysis will be compared with the results of the simulation. From the results of comparison of calculations and simulation of power flow obtained active power (P) of 1% and reactive power (Q) of 1.76%. The b

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5

Firdaus, Aji Akbar, Adi Soeprijanto, Ardyono Priyadi, and Dimas Fajar Uman Putra. "Control Strategy of OLTC using Quantum Binary Particle Swarm Optimization to Improve the Voltage Stability Index." Engineering, Technology & Applied Science Research 15, no. 2 (2025): 21518–25. https://doi.org/10.48084/etasr.9715.

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Efficient voltage regulation in distribution and transmission systems heavily relies on transformers with On-Load Tap Changers (OLTC). This study introduces a novel optimization technique, called Quantum Binary Particle Swarm Optimization (QBPSO), to optimize transformer tap settings to improve voltage stability and reducing power losses. QBPSO combines the principles of quantum computing with binary particle swarm optimization, enhancing the algorithm's exploration and exploitation capabilities. Utilizing the Bus Injection to Branch Current-Branch Current to Bus Voltage (BIBC-BCBV) method for

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6

Et al., Christeen G. Boktor. "Harmonic Analysis Considering DG Allocation and Load Growth in the Radial Distribution System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 6 (2021): 1741–52. http://dx.doi.org/10.17762/turcomat.v12i6.3381.

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In the radial distribution system (RDS), the existence of nonlinear loads causes the generation of harmonic currents, which lead to a lot of problems in the system and equipment, such as electronic equipment is used to control the system due to its effectiveness and accuracy. But these are led to an increase in power losses, equipment will be damaged because of overloads, distortion in voltage and current waveforms. So, the importance of harmonic analysis is increased in the last researches and application for designing and determining its effect in the distribution system. Its benefit appears

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7

Musa, Abdulhamid, and Tengku Juhana Tengku Hashim. "Optimal sizing and location of multiple distributed generation for power loss minimization using genetic algorithm." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 2 (2019): 956. http://dx.doi.org/10.11591/ijeecs.v16.i2.pp956-963.

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This paper presents a Genetic Algorithm (GA) for optimal location and sizing of multiple distributed generation (DG) for loss minimization. The study is implemented on a 33-bus radial distribution system to optimally allocate different numbers of DGs through the minimization of total active power losses and voltage deviation at power constraints of 0 – 2 MW and 0 – 3 MW respectively. The study proposed a PQ model of DG and Direct Load Flow (DLF) technique that uses Bus Incidence to Branch current (BIBC) and Branch Current to Bus Voltage (BCBV) matrices. The result obtained a minimum base case

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8

Adepoju, Gafari Abiola, Baruwa Abiodun Aderemi, Sunday Adeleke Salimon, and Oladosu Jamiu Alabi. "Optimal Placement and Sizing of Distributed Generation for Power Loss Minimization in Distribution Network using Particle Swarm Optimization Technique." European Journal of Engineering and Technology Research 8, no. 1 (2023): 19–25. http://dx.doi.org/10.24018/ejeng.2023.8.1.2886.

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Electrical power distribution network is the final stage in the delivery of electric power to consumers. It suffers from high power losses along its radial lines, and there is a need to minimize these losses. One of the technologies used in reducing losses is the application of Distributed Generation (DG). However, inappropriate sizing or placement of DG could inadvertently increase losses in the network. Therefore, this study carries out Optimal Placement and Sizing of DG (OPSDG) in the distribution system using Particle Swarm Optimization (PSO) in reducing the total power loss of the distrib

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9

Dash, Subrat Kumar, Sivkumar Mishra, and Almoataz Y. Abdelaziz. "A Critical Analysis of Modeling Aspects of D-STATCOMs for Optimal Reactive Power Compensation in Power Distribution Networks." Energies 15, no. 19 (2022): 6908. http://dx.doi.org/10.3390/en15196908.

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Distribution static compensators (D-STATCOMs) can enhance the technical performance of the power distribution network by providing rapid and continuous reactive power support to the connected bus. Accurate modeling and efficient utilization of D-STATCOMs can maximize their utility. In this regard, this article offers a novel current-injection-based D-STATCOM model under the power control mode of operation for the reactive power compensation of the power distribution network. The versatility of the proposed D-STATCOM model is demonstrated by combining it with two of the most established distrib

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