Optimal Reconfiguration in Radial Distribution System Using Gravitational Search Algorithm-Reference-Cited by-同舟云学术

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Optimal Reconfiguration in Radial Distribution System Using Gravitational Search Algorithm

Published:2014-04-24 Issue:7 Volume:42 Page:703-715
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Shuaib Y. Mohamed,Kalavathi M. Surya,Asir Rajan C. Christober

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

http://www.tandfonline.com/doi/pdf/10.1080/15325008.2014.890971

Reference28 articles.

1. Optimal radial distribution system reconfiguration using fuzzy adaptation of evolutionary programming

2. A fuzzy genetic approach for network reconfiguration to enhance voltage stability in radial distribution systems

3. A new heuristic approach for optimal reconfiguration in distribution systems

4. A new approach of distribution system reconfiguration for loss minimization

5. Comments on “A new heuristic approach for optimal reconfiguration in distribution systems” in 81 (2011) 282–289

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1. Hybrid Algorithm to Upgrade Voltage Stability Index and Real Power Loss Reduction Using Reconfiguration in Radial Distribution System;2024 International Conference on Computational Intelligence and Computing Applications (ICCICA);2024-05-23

2. A quantum-inspired evolutionary approach to minimize the losses in distribution network through feeder reconfiguration under time-varying load;Electrical Engineering;2024-02-24

3. Optimal Network Reconfiguration via Improved Whale Optimization Approach;WSEAS TRANSACTIONS ON POWER SYSTEMS;2023-10-03

4. Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration;Energies;2023-03-16

5. Reconfiguration of the Distribution Network using a Whale Optimization Algorithm;2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2023-02-18

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