| Title | Distributed Grid restoration based on graph theory |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Sinha, Ayush, Chakrabarti, Sourin, Vyas, O.P. |
| Conference Name | 2020 IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC) |
| Date Published | dec |
| Keywords | composability, compositionality, Computing Theory, Computing Theory and Resilience, graph theory, Grid islanding, Grid restoration, Heuristic algorithms, pubcrawl, resilience, Signal processing algorithms, Smart grids, Standards, Switches, Taxonomy |
| Abstract | With the emergence of smart grids as the primary means of distribution across wide areas, the importance of improving its resilience to faults and mishaps is increasing. The reliability of a distribution system depends upon its tolerance to attacks and the efficiency of restoration after an attack occurs. This paper proposes a unique approach to the restoration of smart grids under attack by impostors or due to natural calamities via optimal islanding of the grid with primary generators and distributed generators(DGs) into sub-grids minimizing the amount of load shed which needs to be incurred and at the same time minimizing the number of switching operations via graph theory. The minimum load which needs to be shed is computed in the first stage followed by selecting the nodes whose load needs to be shed to achieve such a configuration and then finally deriving the sequence of switching operations required to achieve the configuration. The proposed method is tested against standard IEEE 37-bus and a 1069-bus grid system and the minimum load shed along with the sequencing steps to optimal configuration and time to achieve such a configuration are presented which demonstrates the effectiveness of the method when compared to the existing methods in the field. Moreover, the proposed algorithm can be easily modified to incorporate any other constraints which might arise due to any operational configuration of the grid. |
| DOI | 10.1109/iSSSC50941.2020.9358911 |
| Citation Key | sinha_distributed_2020 |
Distributed Grid restoration based on graph theory