An Optimal Multi-Objective Approach for Distributed Generation and AVR Placement in Distribution Networks Using IPMBSA-Reference-Cited by-同舟云学术

An Optimal Multi-Objective Approach for Distributed Generation and AVR Placement in Distribution Networks Using IPMBSA

Published:2023-04-21 Issue:15 Volume:51 Page:1523-1545
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Prasad K. R. K. V.¹,Kollu Ravindra²,Tiwari Sharad Kumar³

Affiliation:

1. Department of Electrical and Electronics Engineering, Aditya College of Engineering and Technology affiliated to JNTUK, Surampalem, Andhra Pradesh, India

2. Department of Electrical and Electronics Engineering, University College of Engineering, Jawaharlal Nehru Technical University Kakinada, Kakinada, Andhra Pradesh, India

3. Department of Electronics & Communication Engineering, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Andhra Pradesh, India

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2023.2199754

Reference37 articles.

1. A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems

2. Improved Elephant Herding Optimization for Multiobjective DER Accommodation in Distribution Systems

3. Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems

4. Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine for optimal allocation of DG in radial distribution network

5. A Novel Robust Methodology Based Salp Swarm Algorithm for Allocation and Capacity of Renewable Distributed Generators on Distribution Grids

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