Whale Optimization Algorithm for Community Microgrid Energy Scheduling

Ali M. Rafi*, Muaiz Ali, Md Ismail Hossain, Fahad A. Al-Sulaiman, Md Shafiullah

*Corresponding author for this work

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

1 Scopus citations


A microgrid is a local electricity network that supplies electrical energy to the local community from various distributed generation (DG) systems. It can be operated independently or in coordination with the national utility grid of a country. Microgrid operators face different operational challenges and uncertainties while meeting the electricity demand of their customers. This research aims to develop a community microgrid (CMG) energy scheduling strategy considering the electricity price, renewable generation, and load demand uncertainty. The considered CMG system is connected to a utility grid and comprises of a solar photovoltaic (PV) plant, a wind generation system, a micro-turbine, an energy storage system (ESS), and a lumped load. A versatile mathematical optimization problem is formulated and solved using an efficient meta-heuristic technique called the whale optimization algorithm (WOA). The proposed strategy combines an intelligent control system with management software to track the CMG customers' energy requirements and meet the demand with minimal cost by optimizing the available resources. The findings from the research verify the utilization of the ESS in the microgrid to reduce the overall operating costs.

Original languageEnglish
Title of host publication2022 Saudi Arabia Smart Grid Conference, SASG 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665475891
StatePublished - 2022
Event2022 Saudi Arabia Smart Grid Conference, SASG 2022 - Jeddah, Saudi Arabia
Duration: 12 Dec 202214 Dec 2022

Publication series

Name2022 Saudi Arabia Smart Grid Conference, SASG 2022


Conference2022 Saudi Arabia Smart Grid Conference, SASG 2022
Country/TerritorySaudi Arabia

Bibliographical note

Publisher Copyright:
© 2022 IEEE.


  • Community Microgrid
  • Energy Storage System
  • Micro-turbine
  • Renewable Energy Resources
  • Solar PV
  • Whale Optimization Algorithm
  • Wind Turbine

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization


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