| Authors | Mohammadreza Daneshvar, Behnam Mohammadi Ivatloo, Kazem Zare, Amjad Anvari-Moghaddam |
|---|---|
| Conference Title | 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) |
| Holding Date of Conference | 2021-09-07 |
| Event Place | Bari, Italy |
| Presentation | SPEECH |
| Conference Level | International Conferences |
Abstract
Nowadays, as energy networks are mixed to form a hybrid structure, resiliency is found as a vital factor for the sustainability of the energy network infrastructure. In this regard, microgrids are recognized as a potential solution in post-disaster energy network recovery efforts. However, exposure to various natural disasters, as well as uncertainties associated with renewables, have introduced the resiliency challenge as a critical issue in the optimal operation of multi-microgrids. To tackle such challenge, this paper advances the state-of-art microgrid energy sharing technique by developing an innovative transactive energy trading model for the optimal resilient operation of the renewable-based multi-microgrids cluster. The proposed transactive energy-based model is intended to improve the resiliency of microgrids in the sustainable energy supply chain after affecting the system by natural disasters. Due to the operation of microgrids with a high contribution of renewable energy sources (RESs), uncertainty quantification is performed using autoregressive integrated moving average and fast forward selection methods to produce and reduce scenarios, respectively. The effectiveness and feasibility of the proposed model are examined using a modified IEEE-10 bus test system. The results indicate a 6.18% reduction in the operation cost of the multi-microgrids under the proposed transactive energy-based model.