Research on the Annual Replenishment and Coordinated Dispatching Strategy for Island Energy Systems Based on the Simulated Annealing Algorithm

  • Weijie He*
  • , Fanrong Wei
  • , Wenhao Yang
  • , Xiangning Lin
  • , Samir M. Dawoud
  • , Muhammad Shoaib Khalid
  • *Corresponding author for this work

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

Abstract

The issue of energy deficit in island energy systems is addressed in this paper by proposing a new idea of supplying diesel from mainland. The models taking into account the fuel consumption of maritime transport ships, transportation costs, the fuel consumption of diesel engines, and the evaluation index for power outages, is established. By applying the simulated annealing algorithm to solve for the optimal sailing speed, it calculates the best delivery time and determines the annual replenishment and dispatching strategy for the island's integrated energy system. Finally, the superiority of the models proposed in this paper is validated through comparative case studies.

Original languageEnglish
Title of host publication2024 3rd International Conference on Power Systems and Electrical Technology, PSET 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages955-960
Number of pages6
ISBN (Electronic)9798350353204
DOIs
StatePublished - 2024
Externally publishedYes
Event3rd International Conference on Power Systems and Electrical Technology, PSET 2024 - Tokyo, Japan
Duration: 5 Aug 20248 Aug 2024

Publication series

Name2024 3rd International Conference on Power Systems and Electrical Technology, PSET 2024

Conference

Conference3rd International Conference on Power Systems and Electrical Technology, PSET 2024
Country/TerritoryJapan
CityTokyo
Period5/08/248/08/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • economic efficiency
  • island energy systems
  • proportional state curve
  • simulated annealing algorithm

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Control and Optimization

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