Work

Modified genetic algorithm for unit commitment of grid connected microgrids under real time pricing conditions

Year: 2024

Type: article

Abstract: This paper introduces a modification of the genetic algorithm aimed at enhancing the selection process for reproducing the next generation. This modification accelerates the optimization process and improves the outcome. The case study analyzes a grid-connected microgrid comprising renewable energy sources, a battery storage system, prosumers with installed photovoltaic generators, and consumers. The effectiveness of the proposed modification is validated through comparison with two selection algorithms commonly used in the standard genetic algorithms.

Source: International Journal on Information Technologies and Security

DOI: 10.59035/hhvg2870

Authors: Natasha Krsteski, Atanas Iliev

Institution: Ss. Cyril and Methodius University in Skopje

Language: English

Topic: Electric Power System Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: bronze

OpenAlex ID: W4402013772

FWCI: 0.104

Cites:

Cited by: 1

Related to: 10