Optimization solution of congestion problem with FACTS devices using symbiotic organism search algorithm-Reference-Cited by-同舟云学术

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Optimization solution of congestion problem with FACTS devices using symbiotic organism search algorithm

Published:2022-11-27 Issue:1 Volume:14 Page:308-322
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Verma Sumit,Salgotra Aprajita,Shiva Chandan Kumar^ORCID,Vedik B.

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://link.springer.com/content/pdf/10.1007/s13198-022-01797-w.pdf

Reference23 articles.

1. Acharya N, Mithulananthan N (2007) Influence of TCSC on congestion and spot price in electricity market with bilateral contract. Electr Power Syst Res 77:1010–1018

2. Asija D, Choudekar P (2021) Congestion management using multi-objective hybrid DE-PSO optimization with solar-ess based distributed generation in deregulated power Market. Renew Energy Focus 36:32–42

3. Baskaran J (2006) Genetic algorithm and fuzzy logic based optimal location of FACTS devices in a power system network. Int J Emerg Electr Power Syst 5(2). https://doi.org/10.2202/1553-779X.1103

4. Besharat H, Taher SA (2008) Congestion management by determining optimal location of TCSC in deregulated power systems. Int J Electr Power Energy Syst 30:563–568

5. Bhattacharyya B, Kumar S (2016) Approach for the solution of transmission congestion with multi-type FACTS devices. IET Gener Transm Distrib 10(11):2802–2809

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