| Issue |
E3S Web Conf.
Volume 692, 2026
3rd International Conference on Intelligent and Sustainable Power and Energy Systems (ISPES 2025)
|
|
|---|---|---|
| Article Number | 01018 | |
| Number of page(s) | 15 | |
| Section | Energy | |
| DOI | https://doi.org/10.1051/e3sconf/202669201018 | |
| Published online | 04 February 2026 | |
Grey Wolf Optimisation for Optimal Generation Scheduling of Distributed Energy Resources in Microgrid
Department of EEE, Kalasalingam Academy of Research and Education, Tamil Nadu, India
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
Integrating the Distributed Energy Resources (DERs) into the modern power system requires intelligent scheduling algorithms for stability, reliability and cost effectiveness. This paper analyses the optimal generation scheduling in a microgrid consisting of photovoltaic (PV) systems, wind turbines (WTs), diesel generators (DGs) and battery energy storage systems (BESSs). Evolutionary optimisation algorithm, namely Grey Wolf Optimisation (GWO), is employed to minimise the total generation cost of the system while considering the constraints like power balance, generator ramp limits and state of charge (SOC) of battery dynamics. Simulations are done in a CIGRE LV 18 bus microgrid using MATLAB 2024, and the results are reported. Comparison with GA results shows that GWO has faster convergence and produces smoother generator and battery schedules, with a reduction in operational stress.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.