Name
Abstract | ||
|---|---|---|
This paper presents an online optimal energy/power control method for the operation of energy storage in grid-connected electricity microgrids. The approach is based on a mixed-integer-linear-program optimization formulated over a rolling horizon window, considering predicted future electricity usage and renewable energy generation. Performance objectives include electricity usage cost, battery operation costs, and utility oriented goals related to the peak demand and load smoothing. A robust counterpart formulation of the optimization problem is also proposed to handle uncertainty in energy demand/generation prediction in a computationally efficient way. Further reduction in the computations is achieved by employing variable time steps and relaxing binary constraints. A series of simulations demonstrate the effectiveness of various features of the proposed energy/power management methodology in different scenarios. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TSG.2014.2302396 | Smart Grid, IEEE Transactions |
Keywords | Field | DocType |
distributed power generation,energy management systems,energy storage,integer programming,linear programming,optimal control,power control,power generation control,battery operation cost,electricity usage cost,energy demand prediction,energy management,generation prediction,grid-connected microgrids,load smoothing,mixed integer linear program optimization,optimal energy control,optimal energy storage control,optimal power control,rolling horizon window,Adaptive control,battery,energy management,microgrid,mixed integer linear programming,robust optimization,rolling horizon,smartgrid,solar power,wind power | Energy storage,Stand-alone power system,Energy management,Mathematical optimization,Renewable energy,Smart grid,Control engineering,Peak demand,Engineering,Wind power,Microgrid | Journal |
Volume | Issue | ISSN |
5 | 4 | 1949-3053 |
Citations | PageRank | References |
18 | 1.36 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pawel Malysz | 1 | 107 | 7.83 |
| Shahin Sirouspour | 2 | 229 | 21.84 |
| Ali Emadi | 3 | 848 | 150.25 |