Multi-objective optimization of system configuration and component capacity in AC mini-grid hybrid power system

Arta Mohammad-Alikhani, Amin Mahmoudi, Solmaz Kahourzade

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper optimally determines the configuration of the system, as well as each component capacity, in order to design a cost-effective and environment-friendly AC mini-grid hybrid power system for a remote area in South Australia. To this purpose, a modified Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is applied. In each iteration of the modified proposed MOPSO, first, renewable power sources, including photovoltaic arrays and wind turbines along with energy storage components, are selected to form a hybrid power system along with the diesel generator. Then, the capacities of the components are optimized based on two objective functions, including Levelized Cost of Energy (LCOE) and CO2 emission, by analyzing the system using real data in hourly time-step for the load, solar insolation, ambient temperature, and wind speed over a 20-year timespan. Afterward, positions for system configuration and component capacities are updated according to the objective functions.

Original languageEnglish
Title of host publication9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020
Place of PublicationJaipur, India
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728156729
DOIs
Publication statusPublished - 16 Dec 2020
Event9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020 - Malaviya National Institute of Technology Jaipur, Jaipur, India
Duration: 16 Dec 202019 Dec 2020

Publication series

Name9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020

Conference

Conference9th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2020
CountryIndia
CityJaipur
Period16/12/2019/12/20

Keywords

  • Component capacity
  • Hybrid power system
  • Multi-objective optimization
  • System Configuration

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