Enhanced Solar Plant Positioning Using Moth-Flame Optimization Technique

This paper gives optimal placement of solar power plantin IEEE 69-bus_e system_e for voltage stability. The recitationlearning of PV_E iscarried out in IEEE 69-bus_e testsystem_efor the development ofvoltage_e stability through MATPOWER.When a power device is going through unexpected loading, its balance is affected. It needs reimbursement to improve the steadiness from the disorders. Here, the machine is analyzed by using CPF to enhance the steadiness. Various operating situations like withoutPV_E,with PV system using PSO and with placement ofPV_E (by using Mothflame algorithm) are used to evaluate the overall recital of the suggestedsystem_e. The results show that the device with PV_E (tuned with the aid of Mothflame) displays top result than the device without PV_E and With PV system placement by PSO.

Authors

Publication Details

Journal
African Journal of Biomedical Research
Published
2024-10-23
DOI
https://doi.org/10.53555/ajbr.v27i3s.2845
Primary Topic
Extremum Seeking Control Systems
Type
article
Field-Weighted Citation Impact
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article

Enhanced Solar Plant Positioning Using Moth-Flame Optimization Technique

Dr.E. Mariappan
African Journal of Biomedical Research
Extremum Seeking Control Systems
article

Enhanced Solar Plant Positioning Using Moth-Flame Optimization Technique

Dr.E. Mariappan
article en

Abstract

This paper gives optimal placement of solar power plantin IEEE 69-bus_e system_e for voltage stability. The recitationlearning of PV_E iscarried out in IEEE 69-bus_e testsystem_efor the development ofvoltage_e stability through MATPOWER.When a power device is going through unexpected loading, its balance is affected. It needs reimbursement to improve the steadiness from the disorders. Here, the machine is analyzed by using CPF to enhance the steadiness. Various operating situations like withoutPV_E,with PV system using PSO and with placement ofPV_E (by using Mothflame algorithm) are used to evaluate the overall recital of the suggestedsystem_e. The results show that the device with PV_E (tuned with the aid of Mothflame) displays top result than the device without PV_E and With PV system placement by PSO.

African Journal of Biomedical Research
Affordable and clean energy
Openalex Percentile: Top 78%
Extremum Seeking Control Systems
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