OPTIMAL DISTRIBUTED GENERATION FOR LOSS MINIMIZATION USING SAND CAT SWARM OPTIMIZATION
Integration of Distributed Generation (DG) into the transmission system is the current paradigm for creating unique transmission grids. Grid line loss and voltage quality may suffer from unreasonably configured DG. The aim of this paper is to rationally allocate distributed generators (DGs) in the t...
| Published in: | Journal of Theoretical and Applied Information Technology |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190588341&partnerID=40&md5=b2eb2ea8500aa582c9b7f2658138303d |
| Summary: | Integration of Distributed Generation (DG) into the transmission system is the current paradigm for creating unique transmission grids. Grid line loss and voltage quality may suffer from unreasonably configured DG. The aim of this paper is to rationally allocate distributed generators (DGs) in the transmission network to reduce power losses and guarantee a safe and reliable power supply to the loads. The works suggests an optimal distributed generation using Sand Cat Swarm Optimization (SCSO) for loss minimization to reduce power loss while enhancing voltage stability. The proposed algorithm was simulated and evaluated using the Matrices Laboratory (MATLAB) script programming language and has been implemented on IEEE 14-bus transmission system. The results exhibit that the SCSO method is able to determine the optimal DG size and reducing total losses by 40.77 percent for DG type 1 as compared with Particle Swarm Optimization (PSO) algorithm, 38.98% at bus 10. It can be revealed that SCSO can be used by power system planners to choose the best sizing and location. © Little Lion Scientific. |
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| ISSN: | 19928645 |