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Availability and uncertainty-aware optimal placement of capacitors and DSTATCOM in distribution network using
Abdulaziz Alanazi1, Mohana Alanazi2, Zulfiqar Ali Memon3
1Department of Electrical Engineering, College of Engineering, Northern Border University, 73222, Arar, Saudi Arabia.
Scientific Reports
|April 16, 2025
Summary
This study introduces an improved optimization algorithm (IEDO) for simultaneously placing and sizing capacitors and DSTATCOMs in distribution systems. The IEDO effectively minimizes costs and enhances system performance under load uncertainty.
Area of Science:
- Electrical Engineering
- Power Systems
- Optimization Algorithms
Background:
- Radial distribution systems require efficient reactive power compensation to minimize losses and improve voltage profiles.
- Existing optimization methods may struggle with the complexity of simultaneous capacitor and DSTATCOM placement under uncertain load conditions.
Purpose of the Study:
- To develop and validate a novel meta-heuristic algorithm, the Improved Exponential Distribution Optimizer (IEDO), for simultaneous optimization of capacitors and DSTATCOMs.
- To minimize network active losses and reactive power compensation costs while considering compensator reliability and load uncertainty.
Main Methods:
- A novel meta-heuristic algorithm, the Improved Exponential Distribution Optimizer (IEDO), inspired by exponential distribution theory and incorporating a spiral motion strategy.
- Simulation scenarios including individual capacitor/DSTATCOM optimization and simultaneous optimization, with and without reliability and uncertainty considerations using unscented transformation.
Main Results:
- The IEDO demonstrated superior performance in Case III (simultaneous optimization with reliability and uncertainty), achieving the lowest cost and highest net savings.
- The simultaneous optimization approach significantly improved voltage profiles compared to individual compensation methods.
- Considering compensator reliability and load uncertainty (Scenario II) led to a moderate increase in system cost (approx. 8.7%) and a decrease in net savings (approx. 6.5%) compared to Scenario I.
Conclusions:
- The IEDO is a highly effective algorithm for optimizing reactive power compensation in radial distribution systems.
- Simultaneous placement and sizing of capacitors and DSTATCOMs, considering reliability and load uncertainty, yield the most cost-effective and performance-enhanced solutions.
- The proposed method outperforms conventional optimization techniques in complex power system scenarios.
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