An Optimization Approach for Demand-Side Scheduling in Microgrid Energy Management System

Ojo, Kayode Ebenezer and Saha, Akshay Kumar and Srivastava, Viranjay (2026) An Optimization Approach for Demand-Side Scheduling in Microgrid Energy Management System. In: SAUPEC 2026.

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Abstract

In this work, a multi-objective quantum particle swarm optimization (QPSO) algorithm is proposed to address the optimal scheduling of non-dispatchable sources in a microgrid energy management system (MGEMS) for residential areas under utility-induced demand-side management (DSM) programs. While taking economic and environmental aspects into account, the goal is to maximize energy management by integrating a variety of distributed generation (DG) units with an energy storage device. Using real-time meteorological data, two case studies were analyzed and simulated using MATLAB/Simulink R2025b. The simulation results reveal that the optimum optimization outcome among the case studies is obtained at a higher DSM load participation level of 10%. Without the involvement of DSM, MG’s producing units in the first case had the highest carbon emissions of 797.110 kg and an overall operating cost of 267.10 €. Similarly, with the involvement of DSM, the second case had the lowest overall operating cost of 155.01 € and the lowest carbon emissions of 748.731 kg. The second case, which has optimal DG scheduling, is the suggested way to improve microgrid efficiency and provide a dependable power supply with low operating costs and emission reduction.

Item Type: Conference or Workshop Item (Paper)
Identification Number: 10.3390/engproc2026140055
Dates:
Date
Event
1 June 2026
Accepted
5 June 2026
Published Online
Uncontrolled Keywords: demand-side management, distributed generation, microgrid, quantum particle swarm optimization
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-01 - engineering (non-specific)
Divisions: Architecture, Built Environment, Computing and Engineering > Engineering
Depositing User: Gemma Tonks
Date Deposited: 07 Sep 2026 10:56
Last Modified: 07 Sep 2026 10:56
URI: https://www.open-access.bcu.ac.uk/id/eprint/17228

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