Name
Abstract | ||
|---|---|---|
Improvement of the overall efficiency of energy infrastructure is one of the main anticipated benefits of the deployment of smart grid technology. Advancement in energy storage technology and two-way communication in the electric network are indispensable components to achieve such a vision, while efficient pricing schemes and appropriate storage management are also essential. In this paper, we propose a universal pricing scheme which permits one to indirectly control the energy storage devices in the grid to achieve a more desirable aggregate demand profile that meets a particular target of the grid operator such as energy generation cost minimization and carbon emission reduction. Such a pricing scheme can potentially be applied to control the behavior of energy storage devices installed for integration of intermittent renewable energy sources that have permission to grid connection and will have broader applications as an increasing number of novel and low-cost energy storage technologies emerge. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1155/2014/340842 | JOURNAL OF APPLIED MATHEMATICS |
Field | DocType | Volume |
Energy storage,Permission,Mathematical optimization,Renewable energy,Smart grid,Electric power system,Grid connection,Mathematics,Grid,Electricity generation,Distributed computing | Journal | 2014 |
ISSN | Citations | PageRank |
1110-757X | 2 | 0.38 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingwei Zhu | 1 | 2 | 0.72 |
| Michael Z. Q. Chen | 2 | 282 | 22.00 |
| Baozhu Du | 3 | 6 | 1.13 |