Optimal Distribution Networks Reconfiguration for Loss Reduction Via Black Widow Optimizer

Mansour, Hany S. E.; Elnaghi, Basem E.; Abd-Alwahab, M. N.; Ismail, Mohamed

doi:10.1109/mepcon50283.2021.9686257

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…Reference [28] introduced a parallel processing algorithm that integrated the EMA algorithm and WGA algorithm to tackle the dynamic distribution network reconfiguration (DNR) issue, optimizing both active power loss and structural reliability objectives. Reference [29] demonstrated the feasibility of using BWOA to solve the distribution network problem, but only considered the single-objective problem of static distribution network reconfiguration and did not optimize the algorithm. To simulate wind speed and solar power output, reference [30] applied beta distribution and reference [31] applied Weibull distribution.…”

Section: Introductionmentioning

confidence: 99%

Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA

Yan

Zhang

2023

Sustainability

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This paper aims to address the combination of distributed generation placement and dynamic distribution network reconfiguration. Herein, a multi-strategy multi-objective improved black widow algorithm is proposed. A model is established, which considers the objectives of minimizing active power loss, voltage deviation, and carbon emission. The proposed algorithm significantly enhances the traversal capability and search speed by employing Cubic–Tent chaotic mapping, involving a novel formula with the fusion of optimal genes, and employing an adaptive mutation of Wald mutation and elite reverse learning mixing. The DeepSCN is employed to forecast the distributed generation (DG) output power and distribution network load. Through various test functions, the capability of the proposed algorithm is demonstrated. Whether single-objective or multi-objective, the algorithm has excellent performance. To showcase the practicality and effectiveness of the model and approach, a simulation experiment was performed on the IEEE-33 node configuration. The solution set provided by MIBWOA can reduce active network loss to improve operating efficiency, increase voltage offset to make operation more stable, and reduce carbon emissions to make operation more environmentally friendly. The proposed algorithm shows excellent performance in distributed generation placement and distribution network reconfiguration compared with the comparison algorithms. The results show that the solution proposed by MIBWOA can enhance the real-time operational parameters of the distribution network with considerable efficiency.

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Section: Introductionmentioning

confidence: 99%

Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA

Yan

Zhang

2023

Sustainability

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A survey and recent advances in black widow optimization: variants and applications

Shehab,

Shambour,

Abu Hashem

et al. 2024

Neural Comput & Applic

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Optimal Siting and Sizing of FACTS in Distribution Networks Using the Black Widow Algorithm

2023

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The problem regarding the optimal placement and sizing of different FACTS (flexible alternating current transmission systems) in electrical distribution networks is addressed in this research by applying a master–slave optimization approach. The FACTS analyzed correspond to the unified power flow controller (UPFC), the thyristor-controlled shunt compensator (TCSC, also known as the thyristor switched capacitor, or TSC), and the static var compensator (SVC). The master stage is entrusted with defining the location and size of each FACTS device using hybrid discrete-continuous codification through the application of the black widow optimization (BWO) approach. The slave stage corresponds to the successive approximations power flow method based on the admittance grid formulation, which allows determining the expected costs of the energy losses for a one-year operation period. The numerical results in the IEEE 33-, 69-, and 85-bus grids demonstrate that the best FACTS device for locating in distribution networks is the SVC, given that, when compared to the UPFC and the TCSC, it allows for the best possible reduction in the equivalent annual investment and operating cost. A comparative analysis with the General Algebraic Modeling System software, with the aim to solve the exact mixed-integer nonlinear programming model, demonstrated the proposed BWO approach’s effectiveness in determining the best location and size for the FACTS in radial distribution networks. Reductions of about 12.63% and 13.97% concerning the benchmark cases confirmed that the SVC is the best option for reactive power compensation in distribution grids.

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Optimal Distribution Networks Reconfiguration for Loss Reduction Via Black Widow Optimizer

Cited by 3 publications

References 34 publications

Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA

Research on Combination of Distributed Generation Placement and Dynamic Distribution Network Reconfiguration Based on MIBWOA

A survey and recent advances in black widow optimization: variants and applications

Optimal Siting and Sizing of FACTS in Distribution Networks Using the Black Widow Algorithm

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