Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids

Kumar, Abhishek; Jha, Bablesh Kumar; Das, Saurabh; Mallipeddi, Rammohan

doi:10.1016/j.asoc.2023.110057

Cited by 5 publications

(1 citation statement)

References 63 publications

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“…Traditional algorithms for handling LF and demand, like the NR algorithm [16], are becoming increasingly ineffective when networks become overwhelmed or receive energy from many entities. It is vital to identify the allocation and management of DERs for optimal performance.…”

Section: Introductionmentioning

confidence: 99%

Cutting-Edge Generative Design Strategy for Transforming Robot Leg Dynamics in Autodesk Fusion 360

Aditya Shrivastava et al.

2024

JCMPS

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This study was conducted to optimize the integration of solar-photovoltaic-distributed energy resources (SPV-DERs) within the Nigerian power system networks using an AI-based Particle Swarm Optimization (PSO) Algorithm. By employing a mixed research method, primary and secondary data were gathered to calculate flow analysis, NR method's equations, PSO's position update model, particle swarm optimizer algorithm, and application modeling including Solar-PV DER modeling. The AI-based PSO algorithm design was developed for optimizing SPV-DER integration in Nigerian power system networks, and key parameters and variables that needed consideration were identified. The study also established how the performance of the AI-based PSO algorithm could be evaluated and compared with other optimization techniques for SPV-DER integration within Nigerian power system networks. The study's results showed that voltage limits were within acceptable ranges, and solar power contributions were estimated at 880.10MW with 46,718 panels needed. The study concluded and recommended that investing in AI-powered tools for efficient power distribution; monitoring and resource optimization for sustainable energy sources would optimize performance and unleash Nigeria's sustainable energy potential.

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Section: Introductionmentioning

confidence: 99%

Cutting-Edge Generative Design Strategy for Transforming Robot Leg Dynamics in Autodesk Fusion 360

Aditya Shrivastava et al.

2024

JCMPS

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An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems

Ji,

Tan,

Zeng

et al. 2024

Applied Soft Computing

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Sustaining power distribution network submerged in plug-in hybrid CNG-electric vehicles for future green transportation: A risk-constrained analysis

Yao,

2024

Sustainable Cities and Society

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Spherical Search based constrained optimization algorithm for power flow analysis of islanded microgrids

Cited by 5 publications

References 63 publications

Cutting-Edge Generative Design Strategy for Transforming Robot Leg Dynamics in Autodesk Fusion 360

Cutting-Edge Generative Design Strategy for Transforming Robot Leg Dynamics in Autodesk Fusion 360

An ɛ-constrained multiobjective differential evolution with adaptive gradient-based repair method for real-world constrained optimization problems

Sustaining power distribution network submerged in plug-in hybrid CNG-electric vehicles for future green transportation: A risk-constrained analysis

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