Quantum Genetic Algorithm for Dynamic Economic Dispatch of Active Distribution Network with Microgrid Including Renewable Energy Source

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Abstract

This paper presents a Quantum Genetic Algorithm (QGA) for the Dynamic Economic Dispatch (DED) of Active Distribution Networks (ADNs) with a Microgrid (MG) including renewable energy source. The economic dispatch problem aims to minimize the operating cost of the power system while meeting the load demand and satisfying operational constraints. The integration of renewable energy sources, such as wind and solar, into the power system presents new challenges due to their intermittent and uncertain nature. The proposed QGA-based DED approach considers the uncertainties of renewable energy source and enables the effective optimization of the system operation. The QGA combines the advantages of both quantum computing and genetic algorithm to provide a more efficient and effective solution. Therefore, quantum-bits (qubits) offer a much wider computational capability than the classical bits used in traditional genetic algorithms. The proposed approach is tested on the IEEE 37 bus system with two photovoltaic systems, and the results demonstrate its superior performance compared to other well-known methods which are Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm. The proposed QGA provides an effective solution for the DED problem in ADNs with MGs and renewable energy sources, which can contribute to the development of sustainable and efficient power systems.

Original languageEnglish
Title of host publication2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024
EditorsAydin Cetin, Tulay Yildirim, Bulent Bolat
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350379433
DOIs
Publication statusPublished - 2024
Event2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 - Ankara, Turkey
Duration: 16 Oct 202418 Oct 2024

Publication series

Name2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024

Conference

Conference2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024
Country/TerritoryTurkey
CityAnkara
Period16/10/2418/10/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • active distribution network
  • dynamic economic dispatch
  • microgrids
  • photovoltaic
  • quantum genetic algorithm

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