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Multi-objective optimization of solar resource allocation in radial distribution systems using a refined slime mold

Zebin Wang1, Yu Li1, Guodao Zhang2,3

  • 1Zhejiang College of Security Technology, Wenzhou, 325000, China.

Heliyon
|June 27, 2024
PubMed
Summary
This summary is machine-generated.

This study optimizes solar resource allocation in power grids, improving voltage stability and reducing energy losses. The novel method enhances system efficiency by up to 12% even at high solar penetration levels.

Keywords:
Distributed generation resourcesMulti-objective optimizationSlime mold algorithmSolar resource allocationVoltage stability

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Area of Science:

  • Electrical Engineering
  • Renewable Energy Systems
  • Optimization Algorithms

Background:

  • Distributed generation (DG) integration offers benefits like peak load management but challenges voltage stability.
  • Optimizing the placement of solar resources in radial distribution systems is crucial for grid efficiency.

Purpose of the Study:

  • To develop a multi-objective model for optimal solar resource allocation.
  • To improve voltage profiles, minimize system losses, and maximize solar energy penetration.
  • To address conflicting objectives in DG integration.

Main Methods:

  • A novel multi-objective model for solar resource allocation in radial distribution systems.
  • A refined multi-objective slime mold algorithm (MOSMA) for optimization.
  • Integration of the corrected social hierarchy method to enhance MOSMA performance.

Main Results:

  • The proposed MOSMA effectively finds Pareto fronts and avoids local optima, outperforming other optimization methods.
  • The method maintains an acceptable voltage profile and significantly reduces system losses.
  • System efficiency improved by approximately 12% at a 300% solar penetration level, with losses decreasing up to 100% penetration.

Conclusions:

  • The proposed MOSMA is highly effective for optimizing solar resource allocation, even at high penetration levels.
  • The method demonstrates superior performance in voltage profile management and loss reduction compared to existing approaches.
  • The findings support the efficient integration of distributed solar resources into power systems.