| Title | Central Situational Awareness System for Resiliency Enhancement of Integrated Energy Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Zadsar, Masoud, Abazari, Ahmadreza, Ansari, Mostafa, Ghafouri, Mohsen, Muyeen, S. M., Blaabjerg, Frede |
| Conference Name | 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) |
| Keywords | information sharing, Integrated energy system, load shedding, Multi-microgrid formation, Numerical models, Power measurement, pubcrawl, renewable energy sources, Resiliency, Situational awareness system, Stochastic processes, Uncertainty |
| Abstract | In integrated gas and electricity energy systems, a catastrophic outage in one system could propagate to other, resulting in severe service interruption like what happened in 2021 Texas Blackout. To alleviate detrimental effects of these events, a coordinated effort must be adopted between integrated energy systems. In this paper, a central situational awareness system (CSAS) is developed to improve the coordination of operational resiliency measures by facilitating information sharing between power distribution systems (PDSs) and natural gas networks (NGNs) during emergency conditions. The CSAS collects operational data of the PDS and the NGN as well as data of upcoming weather condition, extracts the most vulnerable lines and pipelines, and accordingly obtains emergency actions. The emergency actions, i.e., optimal multi-microgrid formation, scheduling of distribution energy resources (DERs), and optimal electrical and gas load shedding plan, are optimized through a coupled graph-based approach with stochastic mixed integer linear programming (MILP) model. In the proposed model, uncertainties of renewable energy resources (RESs) is also considered. Numerical results on an integrated IEEE 33-bus and 30-node NGNs demonstrate the effectiveness of proposed CSAS. |
| DOI | 10.1109/GUCON50781.2021.9573694 |
| Citation Key | zadsar_central_2021 |
Central Situational Awareness System for Resiliency Enhancement of Integrated Energy Systems