Power, Control, and Data Processing Systems

Power, Control, and Data Processing Systems

Sustainable Energy Management in Hybrid Multi-energy Systems: A Multi-attribute Decision Making Model

Document Type : Original Research

Authors
Hamid Karimi 1
Hamid Reza Sezavar 1
Mohamad Kamarol Mohd Jamil 2
1 Department of electrical and computer engineering, Qom University of Technology, Qom, Iran.
2 School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia,
10.30511/pcdp.2026.2089258.1077
Abstract
This paper proposes a multi-objective optimization for the optimal energy scheduling of renewable-based energy system. The proposed model simultaneously considers both economic and environmental indices in the operation planning to present a comprehensive scheduling for the energy system. The studied energy system integrates the electrical, heating, and cooling sectors to increase the synergy, reliability, and flexibility of the renewable-based energy system. This integration improves the utilization of renewable energy system because the surplus generation of photovoltaic and wind energy can be converted to other forms of energy to supply the required heat and cooling energy of the system. In addition, Shannon entropy and multi-attribute utility theory (MAUT) are used to determine the relative importance of economic versus environmental criteria and to prioritize the solutions based on the operator’s viewpoint. The proposed model is tested on a standard case study and the numerical results present that the proposed model improves the emission of greenhouse gases by 4.8 % compared to single objective optimization in the normal condition. Also, compared to the scenario where no demand response is present, the demand response programs decreases the operating cost of the multi-energy system by 2.47 %.
Keywords
multi-energy system
sector coupling
sustainable management
renewable energy system
Subjects
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Power, Control, and Data Processing Systems
Volume 3, Issue 3
Summer 2026
Pages 27-36

  • Receive Date 21 May 2026
  • Revise Date 10 June 2026
  • Accept Date 01 July 2026
  • First Publish Date 01 July 2026
  • Publish Date 01 September 2026