期刊
ENERGY
卷 171, 期 -, 页码 928-943出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2019.01.055
关键词
Risk; Dependent micro-grid; Stochastic scheduling; Islanding
资金
- Babol Noshirvani University of Technology [BNUT/370445/97]
Micro-grids provide opportunities to enhance reliability and flexibility in power systems. In recent years, resiliency of power grids has attracted many research interests. Moreover, the optimal energy scheduling of micro-grids can satisfy resiliency improvement of the system. In this paper, a novel two-stage risk constrained stochastic framework is proposed, which can optimally schedule a dependent micro-grid in both normal and emergency situations. Dependent micro-grid is introduced as a new group of micro grids with additional interconnection point. It can use energy storage systems, DGs and demand response resources to guarantee resilient and economic operation. In the proposed model, linearized AC grid constraints are added to the mathematical formulation to improve computational efficiency. Predominant uncertainties such as loads, prices, wind, and unplanned islanding events are managed based on risk constraints. The optimal energy management strategy is formulated as an MILP and implemented in the IBM CPLEX (R) Software. Several case studies are carried out to demonstrate the application of the proposed framework. The sensitivity of energy storage system scheduling and the operator's participation in the electricity market are examined by adjusting risk parameters. Furthermore, it is shown that energy procurement by an extra interconnection point would mitigate the economic losses during emergency condition. (C) 2019 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