期刊
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
卷 114, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2019.105380
关键词
Optimal allocation; Battery energy storage system (BESS); Virtual energy storage system (VESS); Sharing economy; Energy economics; power system planning
资金
- Training Program of the Major Research Plan of the National Natural Science Foundation of China [91746118]
- Shenzhen Municipal Science and Technology Innovation Committee Basic Research project [JCYJ20170410172224515]
- Natural Science Foundation of China [51507103]
High investment cost is still by far a critical barrier to allocating battery energy storage system (BESS) in the electricity grid at an economical scale. On the other hand, utilizing thermostatically controlled loads (TCLs) through demand response (DR) programs is considered as a cost-effective way to manage renewable energy intermittency and improve grid efficiency. The thermal buffering capacity of air-conditioned households can imitate the physical energy storage system and consequently be viewed as the virtual energy storage system (VESS). This paper proposes a two-stage planning model for the optimal allocation of the distributed wind turbine (WT), shared BESS and the optimal dispatch of individual VESS in a smart grid. Based on the sharing economy, a novel energy banking model is presented in this paper. Customers give up their individual BESS ownership but have a collective arrangement, in which participants mutualize access to power dis/charge services and pay a rental fee. Energy exchange may be performed directly on a peer-to-peer basis, or indirectly through a mediator. The proposed model is verified on the modified IEEE 14-bus system. Additionally, this paper investigates the coordination strategy of BESS and VESS to mitigate the fluctuation of renewable energy.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据