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Distributed generation and shunt capacitor allocation in radial distribution power networks using a hybrid
R Sundar1, D Ashokaraju2, T Dharmaraj3
1Sona College of Technology, Salem, Tamilnadu, India.
Scientific Reports
|January 27, 2026
Summary
This study introduces a hybrid Whale-Osprey Optimizer Algorithm (WOA-OOA) for optimal placement of distributed generation (DG) and shunt capacitor (SC) units in power networks. The method significantly reduces power loss and improves voltage profiles.
Area of Science:
- Electrical Engineering
- Power Systems Optimization
- Computational Intelligence
Background:
- Radial distribution power networks (RPDNs) face challenges with power loss and voltage instability.
- Optimal placement of distributed generation (DG) and shunt capacitors (SC) is crucial for improving RPDN performance.
- Existing optimization methods may lack efficiency in handling complex, multi-objective allocation problems.
Purpose of the Study:
- To propose a novel hybrid optimization approach for simultaneous DG and SC unit allocation in RPDNs.
- To enhance the efficiency of global and local search capabilities for DG/SC placement problems.
- To evaluate the proposed method's effectiveness in reducing active power loss (APL), improving bus voltage (BV), and minimizing operating costs.
Main Methods:
- Development of a hybrid framework integrating the Whale Optimizer Algorithm (WOA) for global search and the Osprey Optimizer Algorithm (OOA) for local search.
- Application of the Hybrid Whale-Osprey Algorithm (HWOA) to determine optimal locations and sizes for DG and SC units.
- Testing the HWOA on benchmark RPDN systems (33, 69, and 118 buses) for single- and multi-objective scenarios, including load uncertainty.
Main Results:
- Significant APL reduction achieved: up to 77.29% for single DG/SC units and 89.61% for two units on a 33-bus system.
- Demonstrated substantial APL reduction (up to 74.97%) and improved minimum BV (to 0.9686 pu) on a 69-bus system.
- The HWOA proved effective and scalable for large power networks (118-bus system) and robust against load uncertainties.
Conclusions:
- The proposed HWOA offers superior performance in DG/SC allocation compared to existing methods, achieving significant power loss reduction and voltage improvement.
- The hybrid approach effectively balances exploration and exploitation, leading to high-quality solutions for complex power system optimization problems.
- The HWOA is a promising tool for enhancing the efficiency, stability, and economic operation of radial distribution power networks.
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