孤岛
瞬态(计算机编程)
微电网
计算机科学
调度(生产过程)
电力系统仿真
控制理论(社会学)
可靠性工程
接口
生存能力
电力系统
功率(物理)
工程类
数学优化
电压
电气工程
数学
物理
控制(管理)
量子力学
人工智能
计算机硬件
操作系统
作者
Sheng Cai,Yunyun Xie,Zhang Yu-ping,Menglin Zhang,Qiuwei Wu,Jian Guo
出处
期刊:IEEE Transactions on Smart Grid
[Institute of Electrical and Electronics Engineers]
日期:2023-05-11
卷期号:15 (1): 272-285
被引量:3
标识
DOI:10.1109/tsg.2023.3274772
摘要
Microgrids (MGs) provide a promising solution to ensure the constant power supply under extreme conditions due to their islanding ability. However, unintentional islanding caused by emergencies may trigger significant a power imbalance in MGs, leading to unsuccessful MG formation in the event that static or transient operational constraints are violated. To address this challenge, we propose a proactive distribution system scheduling method to continue serving critical loads in emergencies by forming reliable MGs. The power flow on the lines is restricted prior to interruption to mitigate the power imbalance in MGs when equipment failures occur. Both static and transient constraints are incorporated into the proposed model to ensure the adequacy of MGs in supplying demands and transient security during the islanding transition. Note that the inclusion of nonlinear transient constraints makes it difficult to solve the model directly. Thus, a two-level simulation-assisted solution approach is presented, where simulation level sends the maximum allowable power imbalance in the MGs to optimization level to determine optimal scheduling schemes. By interfacing with a transient simulation of MGs, the frequency dynamics are exactly incorporated into the constraints. Numerical results validate the effectiveness of the proposed method in secure islanding transition and MG survivability improvement.
科研通智能强力驱动
Strongly Powered by AbleSci AI