Journal of sustainable Energy Systems

Journal of sustainable Energy Systems

An IGDT-Stochastic Hybrid Operation Model for Optimizing Energy Interactions in Cooperative Multi-Microgrids

Document Type : Original Article

Authors
Mohammadreza Daneshvar 1
Amjad Anvari-Moghaddam 2
Mousa Marzband 3
1 Assistant Professor, Laboratory of Multi-Carrier Energy Networks Modernization, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
2 Professor, Department of Energy (AAU Energy), Aalborg University, 9220 Aalborg, Denmark
3 Professor, Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
10.22059/ses.2026.419319.1276
Abstract
The dramatic advances in the technologies of different energy systems have substantially transformed energy grids, resulting in undeniable interdependencies among multi-energy networks. In this regard, harvesting maximum clean energy from renewable sources has been accounted as a vital goal in the rising path of modern energy grids due to economic and environmental objectives. However, the adoption of renewables in the power production sector is not limited only to the mentioned benefits, but also optimizing energy interactions has appeared as a critical challenge in the presence of energy sources with stochastic outputs. Therefore, this paper proposes an IGDT-stochastic hybrid operational model to optimize energy interactions in cooperative multi-microgrids. The proposed model serves the optimization of energy interactions by relying on multifarious technologies in energy storage, conversion, trading, and management. On the other hand, it develops transactive energy technology to create the possibility of affordable energy sharing among microgrids, resulting in improving their flexibility in multi-energy management. To quantify effective uncertainties, the model benefits from the hybrid IGDT-stochastic method that offers risk-averse and risk-seeker strategies to scrutinize the robustness and opportunistic functions of the optimization problem. The results indicated that microgrids can meet the energy requirements of consumers by developing multi-energy interaction management models with minimum environmental pollution and costs. On the other hand, exerting the hybrid method in the developed model has resulted in 19.13% more cost than the base model, which is due to the robustness of microgrids against negative variations of uncertainties.
Keywords
Renewable energy sources
Cooperative multi-microgrids
Transactive energy
Energy interactions
Optimization
Information gap decision theory
Stochastic programming
Subjects
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Journal of sustainable Energy Systems
Volume 6, Issue 1
Autumn 2027
Pages 203-223