自动发电控制
工程类
电力系统
可再生能源
自动频率控制
储能
可靠性工程
汽车工程
计算机科学
控制工程
功率(物理)
电气工程
物理
量子力学
作者
Rui DiaoStudent Member,Zechun Hu,Yonghua Song,Asad Mujeeb,Likai Liu
出处
期刊:IEEE Transactions on Power Systems
[Institute of Electrical and Electronics Engineers]
日期:2023-11-01
卷期号:38 (6): 5290-5301
标识
DOI:10.1109/tpwrs.2022.3231044
摘要
With the growing penetration of intermittent renewable energy resources in power systems, it is a challenge for automatic generation control (AGC) to maintain the required control performance. In recent years, battery energy storage systems (BESSs) have been installed in thermal power plants to provide frequency regulation service bundled with the traditional thermal generating units (TGUs). However, in real projects, the installed BESS typically works as parasitic equipment of the generating unit, which limits the coordination between the TGU and the BESS. In this paper, a complementary cooperation pattern is proposed for the TGU-BESS union to improve the dispatchability of its response to the AGC signal. Then, the correlation between the BESS's energy demand and the TGU's operation states is described by a data-driven method, which combines fuzzy c-means cluster, r-vine copula, and random forest. Finally, a rolling-horizon energy balance strategy is developed to make the control decisions for the TGU-BESS union in response to the stochastic AGC signal. The effectiveness of the proposed method is demonstrated using the historical data from a real union with a 9MW/4.5 MWh BESS and a 350MW coal-fired generator.
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