Catalyzing Energy Balance: A Comparative Analysis of Optimization Algorithms in the DAI Framework

Saher Javaid, Iacovos I. Ioannou, Vasos Vassiliou, Andreas Pitsillides, Yasuo Tan

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

Abstract

Renewable energy sources (RESs) such as solar panels and wind turbines are increasingly utilized due to their small ecological footprints. However, their inconsistent power generation results in variations in both power supply and grid stability. Integrating RESs in power grids with AI-driven control systems allows for real-time monitoring and control of the electricity grid. This enables more responsive and adaptive grid management, reducing the impact of imbalances caused by sudden changes in demand or supply. This research proposes utilizing a Distributed AI (DAI) framework to ensure energy balance between supply and demand. DAI agents would be placed on each power device for real-time monitoring and control. In this paper, the performance comparison considering the execution time of two optimization techniques, Particle Swarm Optimization (PSO) and Linear Programming (LP), is investigated considering energy balancing constraints. The simulation results illustrate the effectiveness of both optimization techniques considering the increased number of power devices.

Original languageEnglish
Title of host publication11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages257-258
Number of pages2
ISBN (Electronic)9798350386844
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 - Taichung, Taiwan, Province of China
Duration: 9 Jul 202411 Jul 2024

Publication series

Name11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024

Conference

Conference11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024
Country/TerritoryTaiwan, Province of China
CityTaichung
Period9/07/2411/07/24

Keywords

  • Distributed AI
  • distributed energy resources
  • power flow control
  • power fluctuations
  • power/energy balance

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Electrical and Electronic Engineering
  • Media Technology
  • Modeling and Simulation
  • Instrumentation

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