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Multiple Distributed PV Locations and Hosting Capacity Determination Using GA and GWO Algorithm

  • Pushpendra Singh Kharayat
  • , Gourav Semwal
  • , Sachin Sharma
  • , Tanuj Rawat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The study aims at appropriate placement and sizing of distributed generation in distribution power systems. Solar photovoltaic system is considered as the distributed generator to reduce energy loss while maintaining the node voltage profiles using penalty function method. Genetic algorithm and grey wolf optimization is used to solve the considered problem. The benchmark IEEE-33 bus test radial distribution system is used to explore the issue under consideration. Outcomes of the genetic algorithm and grey wolf optimization are compared, and simulation results are encouraging for the studied planning problem.

Original languageEnglish
Title of host publication2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages351-356
Number of pages6
ISBN (Electronic)9798350329186
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023 - Ghaziabad, India
Duration: 14-09-202315-09-2023

Publication series

Name2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023

Conference

Conference2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023
Country/TerritoryIndia
CityGhaziabad
Period14-09-2315-09-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Instrumentation
  • Renewable Energy, Sustainability and the Environment
  • Surfaces, Coatings and Films
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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