Multi-Objective Optimization for Simultaneous Optimal Sizing & Placement of DGs and D-STATCOM in Distribution Networks Using Artificial Rabbits Optimization-Reference-Cited by-同舟云学术

Multi-Objective Optimization for Simultaneous Optimal Sizing & Placement of DGs and D-STATCOM in Distribution Networks Using Artificial Rabbits Optimization

Published:2023-03-15 Issue: Volume: Page:
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Container-title:2023 10th Iranian Conference on Renewable Energy & Distributed Generation (ICREDG)
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Author:

Zare Peyman¹,Davoudkhani Iraj Faraji¹,Zare Rasoul¹,Ghadimi Hossein²,Mohajery Reza¹

Affiliation:

1. University of Mohaghegh Ardabili,Department of Electrical Engineering,Ardabil,Iran

2. Ardabil Province Electricity Distribution Company (APED Co.),Ardabil,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10091922/10091969/10092092.pdf?arnumber=10092092

Reference17 articles.

1. Wide-area power system stabilizer design based on Grey Wolf Optimization algorithm considering the time delay

2. Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method

3. Harris hawks optimization: Algorithm and applications

4. Artificial rabbits optimization: A new bio-inspired meta-heuristic algorithm for solving engineering optimization problems

5. Deterministic and probabilistic multi-objective placement and sizing of wind renewable energy sources using improved spotted hyena optimizer

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