Work

A grey wolf optimization based approach to provide ancillary services for battery owners

Year: 2025

Type: article

Abstract: As is known, batteries have started to be used increasingly in both power distribution and transmission networks. This study develops a near-optimal approach for ancillary services in power networks from the perspective of the battery owner. We first model the optimization algorithm for the battery owner, then utilize a grey wolf optimization approach, where near-optimal actions are selected daily from available services. We use real data of frequency, voltage magnitude, combined home and Photovoltaic system, and transformer load to perform the simulations. The simulation results show that battery owners may profit from these services and help the system operators solve the issues such as over-voltage, under-voltage, frequency, and similar.

Source: Serbian Journal of Electrical Engineering

DOI: 10.2298/sjee2502243c

Authors: Muhammed Çakır, Irem Esen, Oğuzhan Ceylan, Mustafa Zehir, Elma Zanaj

Institutions: Marmara University, Kadir Has University, Polytechnic University of Tirana

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4412613674

FWCI:

Cites: 29

Cited by:

Related to: 10