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Related Experiment Video

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Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

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Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid

Ganesh Selvaraj¹, Kanimozhi Rajangam², Pradeep Vishnuram³

¹Department of Electrical and Electronics Engineering, Grace College of Engineering, Thoothukudi, 628005, Tamil Nadu, India.

Scientific Reports

|December 28, 2024

Summary

This study introduces a crow search algorithm for optimal microgrid power scheduling in India, significantly reducing costs and improving voltage regulation for reliable electricity supply.

Keywords:

Crow search algorithm Distributed generation ETAP simulation Load scheduling Microgrid Power management Total operating cost Voltage regulation

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Area of Science:

Electrical Engineering
Power Systems
Renewable Energy Integration

Background:

Microgrids (MGs) offer enhanced reliability and efficiency but face challenges in voltage regulation and power continuity, particularly in regions like India.
Low-voltage customers experience frequent power supply disruptions and poor voltage regulation, necessitating advanced management strategies.

Purpose of the Study:

To develop and implement an optimal power scheduling approach for microgrids to ensure uninterrupted power supply and improve voltage regulation (VR).
To minimize total operating cost (TOC) and maximize VR under diverse operational conditions and distributed generation (DG) configurations.

Main Methods:

A novel crow search algorithm (CSA) was developed for effective load scheduling in microgrids.
The proposed method was modeled and simulated using the Electrical Transient Analyzer Program (ETAP) in a Tamil Nadu, India case study.
The approach was evaluated under grid-connected, islanded, and DG outage scenarios.

Main Results:

The CSA significantly optimized load scheduling, leading to reduced power loss and improved voltage profiles across all tested scenarios.
Islanded mode operation with CSA demonstrated a remarkable reduction in TOC and maximized VR compared to other modes.
The algorithm proved effective in enhancing microgrid power management and voltage stability.

Conclusions:

The crow search algorithm offers an effective meta-heuristic solution for microgrid power scheduling, minimizing costs and enhancing voltage regulation.
The study successfully implemented and validated the CSA for real-time power distribution systems, showing its potential for broader application.
The findings highlight the CSA's capability to address critical power supply challenges in microgrids, especially in developing regions.