期刊
RENEWABLE ENERGY
卷 102, 期 -, 页码 316-325出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2016.10.051
关键词
Demand response (DR); Hosting capacity (HC); Total energy losses; Wind energy
资金
- Commission for Energy Regulation
- Bord Gais Energy
- Bord na Mona Energy
- Cylon Controls
- EirGrid
- Electric Ireland
- EPRI
- ESB International
- ESB Networks
- Gaelectric
- Intel
- SSE Renewables
- UTRC
- Viridian Power Energy
- Science Foundation Ireland SEES Cluster [SFI/09/SRC/E1780]
With the increasing share of renewable energy sources (RES) in demand supply, the distribution network operators (DNOs) are facing with new challenges. In one hand, it is desirable to increase the ability of the network in absorbing more renewable power generation units (or increasing the hosting capacity (HC)). On the other hand, power injection to the distribution network by renewable resources may increase the active power losses (if not properly allocated) which reduces the efficiency of the network. Thus, the DNO should make a balance between these two incommensurate objective functions. The Demand Response (DR) in context of smart grids can be used by DNO to facilitate this action. This paper provides an approach in which a multi-objective and multi-period NLP optimization model is formulated where the DR is utilized as an effective tool to increase HC and decrease the energy losses simultaneously. In order to quantify the benefits of the proposed method, it is applied on a 69-bus distribution network. The numerical results substantiate that the proposed approach gives optimal locations and capacity of RES, as well as minimum energy losses by load shifting capability provided via DR programs. (C) 2016 Elsevier Ltd. All rights reserved.
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