Optimal allocation of shunt capacitors in radial distribution networks using Constriction-Factor Particle Swarm Optimization and its techno-economic analysis

Salimon, Sunday Adeleke; Omofuma, Osamonyi Ighodalo; Akinrogunde, Oluwadare Olatunde; Thomas, Temitope Grace; Edwin, Theophilus Ejike

doi:10.1016/j.fraope.2024.100093

Franklin Open

2024

DOI: 10.1016/j.fraope.2024.100093

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Optimal allocation of shunt capacitors in radial distribution networks using Constriction-Factor Particle Swarm Optimization and its techno-economic analysis

Sunday Adeleke Salimon,

Osamonyi Ighodalo Omofuma,

Oluwadare Olatunde Akinrogunde

et al.

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2024

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Cited by 2 publications

References 30 publications

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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network

Srinivasan,

Cheepati,

Goud

et al. 2024

Energies

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This study describes the optimization of Distribution Network Structure (DNS) by altering sectionalizing and tie-switches with Reactive Power Injections (RPI) through optimal nodes under three load variations considering five different cases in Electric Distribution Networks (EDNs) to reduce Energy Loss (ELoss), thereby achieving Economic Benefit (EB), which is the first step process. This approach yields EBs only to some extent. To achieve a greater reduction in ELoss, enhancing bus voltage profile and to achieve additional EBs, this study examines the incorporation of Renewable Energy Generations (IREGs) into the optimal EDNs with reactive power support. The optimal energy has been purchased from the Independent Power Producers (IPPs). Besides, the Levy Flight Mechanism (LFM) integrated Seagull Optimization Algorithm (SOA) has been applied to solve the Economic Based Objective Function. The effectiveness of the developed methodology has been validated using IEEE 33-bus and a real 74-bus Myanmar EDN. The reductions in ELoss achieved by LFM-SOA have been compared with those of other existing methods in the literature for all the cases. The results reveals that the developed methodology efficiently achieves more EBs ($) for all the cases by optimizing DNSA with and without RPIs and IREGs.

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Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network

Srinivasan,

Cheepati,

Goud

et al. 2024

Energies

View full text Add to dashboard Cite

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Distributed Optimal Control of DC Network Using Convex Relaxation Techniques

Fu,

Shi,

et al. 2024

Energies

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This paper proposes a novel distributed control strategy for DC microgrids using a convex relaxation method to ensure the system operates at the optimal power flow solution. Initially, a suitable convex relaxation technique is applied to transform the non-convex optimal power flow problem into a convex form, with the accuracy of this method being rigorously demonstrated. Next, the Karush–Kuhn–Tucker (KKT) optimality conditions of the relaxed problem are equivalently transformed, and a synchronization term is derived to facilitate the distributed control, thereby ensuring operation under optimal power flow. This paper also analyzes the impacts of communication delay and network structure on the performance of the proposed control strategy. Finally, simulations and numerical experiments are presented to validate the effectiveness of the proposed method.

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Optimal allocation of shunt capacitors in radial distribution networks using Constriction-Factor Particle Swarm Optimization and its techno-economic analysis

Cited by 2 publications

References 30 publications

Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network

Optimizing Techno-Economic Framework of REGs in Capacitive Supported Optimal Distribution Network

Distributed Optimal Control of DC Network Using Convex Relaxation Techniques

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