Name
Abstract | ||
|---|---|---|
In this paper, we investigate a design approach aiming at simultaneously integrating the energy management and the sizing of a small microgrid with storage. We particularly underline the complexity of the resulting optimization problem and how it can be solved using suitable optimization methods in compliance with relevant models of the microgrid. We specifically show the reduction of the computational time allowing the microgrid simulation over long time durations in the optimization process in order to take seasonal variations into account. The developed approach allows performing many optimal designs in order to find the appropriate price context that could favor the installation of storage devices. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSG.2015.2507131 | IEEE TRANSACTIONS ON SMART GRID |
Keywords | Field | DocType |
Dynamic programming, efficient global optimization, evolutionary algorithms, Kriging, linear programming, smart grid, microgrid, sizing, optimal dispatching | Dynamic programming,Energy management,Smart grid,Evolutionary algorithm,Optimal design,Control engineering,Sizing,Engineering,Optimization problem,Microgrid | Journal |
Volume | Issue | ISSN |
8 | 4 | 1949-3053 |
Citations | PageRank | References |
2 | 0.54 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| remy rigomariani | 1 | 6 | 2.52 |
| Bruno Sareni | 2 | 24 | 5.95 |
| Xavier Roboam | 3 | 27 | 8.34 |