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RETRACTED: Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of
Bachirou Bogno1,2, Deli Goron3, Nisso Nicodem1
1Faculty of Science, University of Garoua, Cameroon, Garoua, Cameroon.
Plos One
|January 8, 2025
Summary
This study introduces a method for optimizing radial distribution systems using distributed generation to improve voltage profiles and reduce power losses. The approach enhances grid stability and power quality, mitigating potential blackouts.
Area of Science:
- Electrical Engineering
- Power Systems Engineering
- Renewable Energy Integration
Background:
- Increasing household energy demand strains distribution networks.
- Poorly sized networks lead to voltage instability and power losses.
- Need for effective energy compensation and optimization strategies.
Purpose of the Study:
- To present a method for energy compensation and optimization in radial distribution systems (ORDS).
- To evaluate the impact of integrating distributed generations (DG) on voltage and power profiles, and power losses (PLRDSs).
- To propose a system for injecting multiple renewable energy sources (MRES) to improve power quality and prevent blackouts (PCB).
Main Methods:
- Integration of distributed generations (DG) into radial distribution networks (RDNs).
- Utilizing hybrid distributed generation systems (HDGSs) for power compensation.
- Employing particle swarm optimization (PSO) to identify optimal locations for MRES injection.
- Evaluating performance on IEEE 33 and IEEE 69 bus standard systems using MATLAB.
Main Results:
- Improved voltage and power profiles after DG integration.
- Demonstrated reduction in power losses (PLRDSs).
- Enhanced radial distribution network (RDN) stability and power quality.
- PSO effectively located stable nodes sensitive to voltage fluctuations.
Conclusions:
- The proposed method effectively optimizes energy resources in radial distribution systems.
- Integrating MRES via HDGSs offers a viable solution for power compensation and blackout prevention (PCB).
- The PSO-based approach provides a computationally efficient method for achieving optimal results in power system enhancement.
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