Allocation of distributed generator in power networks through an enhanced jellyfish search algorithm-Reference-Cited by-同舟云学术

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Allocation of distributed generator in power networks through an enhanced jellyfish search algorithm

Published:2023-11 Issue: Volume:10 Page:4761-4780
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Selim Ali^ORCID,Hassan Mohamed H.,Kamel Salah,Hussien Abdelazim G.

Publisher

Elsevier BV

Subject

General Energy

Reference38 articles.

1. Review of optimization techniques applied for the integration of distributed generation from renewable energy sources;Abdmouleh;Renew. Energy,2017

2. An improved hybrid approach for the simultaneous allocation of distributed generators and time varying loads in distribution systems;Ahmed;Energy Rep.,2023

3. Optimal placement and sizing of a DG based on a new power stability index and line losses;Aman;Int. J. Electr. Power Energy Syst.,2012

4. Butterfly optimization algorithm: a novel approach for global optimization;Arora;Soft Comput.,2019

5. Network reconfiguration in distribution systems for loss reduction and load balancing;Baran;IEEE Trans. Power Deliv.,1989

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2. An improved moth flame optimization for optimal DG and battery energy storage allocation in distribution systems;Cluster Computing;2024-08-01

3. A modified Runge–Kutta optimization for optimal photovoltaic and battery storage allocation under uncertainty and load variation;Soft Computing;2024-07-23

4. Enhancing Reconfigured Radial Distribution Networks: Fuzzy Multi-Objective Optimization for Optimal Deployment of Distributed Generators and Shunt Capacitors;2024 IEEE Students Conference on Engineering and Systems (SCES);2024-06-21

5. Optimal distributed generators allocation with various load models under load growth using a meta-heuristic technique;Renewable Energy Focus;2024-06

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