Name
Abstract | ||
|---|---|---|
Sustained load growth in electric power industry has resulted in intensive usage of grid assets including transmission system. Over the years, the transmission infrastructure is unable to evolve at the same proportionate which leads to diminishing reserve capacity in a transmission system. This leads to frequent congestions in the grid. Therefore, congestion management has become vital to maintain the required level of reliability of the supply of power. In contemporary literature, congestion is usually managed by generation rescheduling and/or load shedding. This incurs huge additional costs as generation/distribution companies need to provide huge incentives for changing their pre-committed schedules. In order to minimize the congestion relief cost, this paper proposes a cost efficient congestion management scheme using distributed battery energy storages (BESs) with minimum adjustment to the pre-committed schedules of loads and generators. Simulation results on a 30-bus IEEE benchmark system has validated the potential of BES for congestion management in electric grids. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ISGT.2015.7131789 | Innovative Smart Grid Technologies Conference |
Keywords | Field | DocType |
energy consumption,power grids,secondary cells,30-bus IEEE benchmark system,congestion relief,cost efficient congestion management scheme,distributed battery energy storage,electric grids,electric power industry,grid assets,grid scale batteries,sustained load growth,transmission system | Incentive,Smart grid,Real-time computing,Reserve capacity,Schedule,Electric power industry,Transmission system,Engineering,Reliability engineering,Grid,Cost efficiency | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jagabondhu Hazra | 1 | 51 | 9.83 |
| Manikandan Padmanaban | 2 | 4 | 1.13 |
| Fauzi Zaini | 3 | 0 | 0.34 |
| De Silva, L.C. | 4 | 10 | 1.29 |