Document Type : Research article

Authors

1 Department of Electrical and Computer Engineering, Technical and Vocational University (TVU), Mazandaran, Iran.

2 Department of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz 61357-85311, Iran.

Abstract

This study focuses on achieving a self-healing network with high reliability and minimal losses by discussing the optimal placement of distributed generation (DG) sources in the network using the particle swarm algorithm (PSO). Optimal placement not only reduces losses but also enhances the voltage profile and enhances system reliability. Consequently, the paper explores the concept of a self-healing smart grid. Smart grids possess a crucial attribute known as self-healing, designed to enhance the system’s dependability. The self-healing power grid can detect and rectify disruptions within its infrastructure with minimal or even absent human intervention. This study examines a standard IEEE 69-bus network and presents results demonstrating the network's safety, the prevention of blackouts, the reduction of losses, and the substantial enhancement of the voltage profile.

Graphical Abstract

Optimal Placement of Distributed Energy Resources to Reduce Losses, Improve Voltage Profile, and Convert it into a Self-healing Smart Grid

Highlights

 

  • Achieving a self-healing network with high reliability and minimal losses
  • Optimal placement of DGs in the network using the particle swarm algorithm
  • Enhancing the voltage profile and system reliability
  • Detecting and rectifying disruptions with minimal human intervention

Keywords