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

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...

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Bibliographic Details
Published in:Energies (Basel) 2022-05, Vol.15 (9), p.3433
Main Authors: Dash, Subrat Kumar, Mishra, Sivkumar, Abdelaziz, Almoataz Youssef, Hong, Junhee, Geem, Zong Woo
Format: Article
Language:English
Subjects:
Algorithms
Control algorithms
Cost control
D-STATCOM
Distributed generation
distributed generators
Electric power distribution
Emissions
Energy
Environmental aspects
Fractals
Harris hawk optimization
Optimization
Optimization algorithms
Optimization techniques
simultaneous allocation
Statistical analysis
student psychology-based optimization
symbiotic organism search optimization
Voltage
Voltage stability
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en15093433