Optimal Placement Identification of Multiple DG Types Using Optimization Technique

In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used. In order to calculate the data enhancement in voltage profile, this study uses the GWO algorithm. The ideal position for the proposed charging poi...

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Bibliographic Details
Published inE3S Web of Conferences Vol. 387; p. 1009
Main Authors S., Mounika, Banu, R. Narmatha, Kiruthiga, B.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 01.01.2023
Subjects
Algorithms
Charging
dg location
Electric potential
gwo
hybrid optimization
Objective function
Optimization techniques
Particle swarm optimization
pso
Voltage
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Summary:In this paper, a combination algorithm called GAIPSO, which combines GA and a better version of the classic particle swarm optimization process, is used. In order to calculate the data enhancement in voltage profile, this study uses the GWO algorithm. The ideal position for the proposed charging points inside the distribution system is the goal. The received comment thread solution (site & station size) is further re-optimized by PSO, improving both the functionality and outcome overall. Studies based on simulations show that the above mentioned technique outperforms GA, GWO, and PSO in respect of an improved voltage profiles as well as the quality of the solution found for the objective function. Optimum planning for the charging station’s location and size. the IEEE 33 bus system. The suggested approach takes into consideration the IEEE 33 bus service. The received thread solutions (site and station size) is further re-optimized by PSO, improving both the performance and outcome overall.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202338701009