Resilient-oriented energy management of multi-microgrids considering energy storage systems and demand response programs based on a robust optimization | ||
| مدل سازی در مهندسی | ||
| Articles in Press, Accepted Manuscript, Available Online from 14 September 2025 PDF (655.25 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.22075/jme.2025.31958.2539 | ||
| Authors | ||
| Abouzar Samimi* 1; Aliakbar Noori1; Abolfazl Salami2 | ||
| 1Department of Electrical Engineering, Arak University of Technology, Arak | ||
| 2Faculty of Electrical Engineering, Arak University of Technology, Arak | ||
| Receive Date: 01 October 2023, Revise Date: 05 May 2025, Accept Date: 25 May 2025 | ||
| Abstract | ||
| The increase in the number and severity of natural disasters and their significant social and economic effects have made power system planners pay special attention to the security and resilience of power networks. For this purpose, this article tries to provide an efficient model for strengthening the resilience of distribution networks based on multi microgrids by optimally using energy storage systems and demand response programs. In the proposed method, a two-stage hierarchical approach has been developed in which the first stage of the incident is modeled and their impact on the distribution network is determined. Then, in the next stage, preventive and corrective measures are implemented to increase system readiness and reduce damages caused by severe accidents. At this stage, various tools such as energy storage, distributed and renewable production sources have been used in addition to responsive loads. In order to consider the uncertainty and the risk caused by it on the proper performance of the proposed design, the problem is done by robust optimization to obtain more realistic results than the deterministic state. Finally, in order to confirm the effectiveness of the proposed method in improving the resilience of distribution systems, a standard network of 33 buses has been used with different operating conditions, and the results obtained indicate its proper performance in the face of severe accidents and maintaining the resilience of the system. | ||
| Keywords | ||
| Resilience; Multi-microgrids; Energy storage; Responsive loads; Robust optimization | ||
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