Optimal Planning of Multitype DGs and D-STATCOMs in Power Distribution Network Using an Efficient Parameter Free Metaheuristic Algorithm

Subrat Kumar Dash, Sivkumar Mishra, Almoataz Youssef Abdelaziz, Junhee Hong and Zong Woo Geem
Additional contact information
Subrat Kumar Dash: Department of Electrical Engineering, Goverrnment College of Engineering Kalahandi, Bhawanipatna 766002, Odisha, India
Sivkumar Mishra: Department of Electrical Engineering, Center for Advanced Post Graduate Studies, Biju Patnaik University of Technology, Rourkela 769015, Odisha, India
Almoataz Youssef Abdelaziz: Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt
Junhee Hong: Department of Smart City & Energy, Gachon University, Seongnam 13120, Korea
Zong Woo Geem: Department of Smart City & Energy, Gachon University, Seongnam 13120, Korea

Energies, 2022, vol. 15, issue 9, 1-35

Abstract: In a quest to solve the multi-objective optimal planning problem using a simple parameter-free metaheuristic algorithm, this paper establishes the recently proposed student psychology-based optimization (SPBO) algorithm as the most promising one, comparing it with the other two popular nonparametric metaheuristic optimization algorithms, i.e., the symbiotic organisms search (SOS) and Harris hawk optimization (HHO). A novel multi-objective framework (with suitable weights) is proposed with a real power loss minimization index, bus voltage variation minimization index, system voltage stability maximization index, and system annual cost minimization index to cover various technical, economic, and environmental aspects. The performances of these three algorithms are compared extensively for simultaneous allocation of multitype distributed generations (DGs) and D-STACOM in 33-bus and 118-bus test systems considering eight different cases. The detailed analysis also includes the statistical analysis of the results obtained using the three algorithms applied to the two test distribution systems.

Keywords: distributed generators; simultaneous allocation; D-STATCOM; student psychology-based optimization; Harris hawk optimization; symbiotic organism search optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/9/3433/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/9/3433/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:9:p:3433-:d:810893

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().