A Strategy to Enhance Performance on Mitigating Wind Power Fluctuations Based on Battery Energy Storage Systems

被引：0
|
作者：
Zhang, Xinsong [1 ]
Yuan, Yue [1 ]
Zhu, Junpeng [1 ]
Gu, Juping [2 ]
机构：
[1] Hohai Univ, Coll Energy & Elect Engn, Nanjing, Peoples R China
[2] Nantong Univ, Coll Elect Engn, Nantong, Peoples R China
来源：
2019 34RD YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC) | 2019年
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
wind power fluctuations; battery energy storage systems (BESSs); operation strategy of BESS; performance enhancement; sequential Monte Carlo simulation;
D O I：
10.1109/yac.2019.8787689
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The intrinsic fluctuating character of wind power poses great challenges on electric power systems. Battery energy storage systems (BESSs) can mitigating wind power fluctuations by adjusting their charging/discharging rates if they are integrated into WFs. In this paper, we design a strategy for the BESS, aiming to enhance performances on mitigating wind power fluctuations. The strategy optimizes charging/discharging rates of the BESS to minimize the energy of the fluctuating component extracted from the output power of the BESS-integrated WF. Based on the optimized results, a charging/discharging power instruction is generated for the BESS with considerations of random forecast errors on wind power. We also design two special indices to evaluate performances on mitigating wind power fluctuations respectively from aspects of fluctuating energy and fluctuating power amplitudes. Sequential Monte Carlo simulation (SMCS) is applied to simulate the operation of the BESS-integrated WF. Simulation results validate the strategy which enhances performances on mitigating wind power fluctuations.
引用
收藏
页码：120 / 125
页数：6
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