Modeling and Operation Strategy Research on Flexible Wind Farm Grid-connection Auxiliary System

被引:0
|
作者
Zhang Z. [1 ]
Li L. [2 ]
Ding S. [1 ]
Lin X. [1 ]
Zhuo Y. [2 ]
Li Z. [1 ]
Chen C. [1 ]
Wang Z. [1 ]
机构
[1] School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei Province
[2] State Grid Guangxi Electric Power Dispatching Center, Nanning, 530000, Guangxi Zhuang Autonomous Region
来源
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 04期
基金
中国国家自然科学基金;
关键词
Energy loss; Flexible wind farm grid-connection; Hybrid energy storage system; Model predictive control; Power supply continuity;
D O I
10.13335/j.1000-3673.pst.2018.1187
中图分类号
学科分类号
摘要
Present energy storage system assisting flexible wind farm grid-connection in minute timescale is generally composed of battery. Restrained by capacity, this kind of energy storage system topology is unable to continuously operate when wind power fluctuation is persistently over-limit. In order to solve this problem, this paper introduced a hybrid energy storage system (HESS) topology composed of battery andhydrogen conversion system (HCS). In order to achieve flexible wind farm grid-connection with the least energy loss, an HESS control strategywas proposed to make full use of advantages of HCS capacity and battery energy conversion efficiency. The optimization goal was to minimize power fluctuation, battery life consumption and energy loss. Energy conversion characteristicswere also analyzed. Simulation results showed that, compared with other strategies only using battery, the operation strategy using HESS under the same economy cost could combine advantages of battery efficiency and HCS power supply continuity and achieve balance of induced energy loss and power fluctuation. © 2019, Power System Technology Press. All right reserved.
引用
收藏
页码:1220 / 1226
页数:6
相关论文
共 21 条
  • [1] Zhang L., Ye T., Xin Y., Et al., Problems and measures of power grid accommodating large scale wind power, Proceedings of the CSEE, 30, 25, pp. 1-9, (2010)
  • [2] Zhang W., Liu Z., Shen L., Et al., Flexible grid-connection of photovoltaic power generation system with energy storage system for fluctuation smoothing, Electric Power Automation Equipment, 33, 5, pp. 106-111, (2013)
  • [3] Fagan E., Grimes S.E., Mcardle J., Et al., Grid code provisions for wind generators in Ireland, Power Engineering Society General Meeting, pp. 1241-1247, (2005)
  • [4] Peng L., Cai G., Kong L., Et al., Control strategy of grid-connected PV-hydrogen-storage generation, Electric Power Construction, 37, 9, pp. 56-61, (2016)
  • [5] Cai G., Chen C., Kong L., Et al., Modeling and control of grid-connected system of wind/PV/electrolyzer and SC, Power System Technology, 40, 10, pp. 2982-2990, (2016)
  • [6] Xiangjun L.I., Yao L., Hui D., Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations, Journal of Modern Power Systems & Clean Energy, 4, 4, pp. 593-603, (2016)
  • [7] Wu J., Ding M., Wind power fluctuation smoothing strategy of hybrid energy storage system using self-adaptive wavelet packet decomposition, Automation of Electric Power Systems, 41, 3, pp. 7-12, (2017)
  • [8] Shen S., Zhang P., Li Z., Et al., A coordination operation method of wind power and energy storage hybrid system for smoothing short-term and long-term wind power fluctuations, Automation of Electric Power Systems, 39, 8, pp. 12-18, (2015)
  • [9] Khatamianfar A., Khalid M., Savkin A.V., Et al., Improving wind farm dispatch in the Australian electricity market with battery energy storage using model predictive control, IEEE Transactions on Sustainable Energy, 4, 3, pp. 745-755, (2013)
  • [10] Liu Q., Fan S., Fu C., Et al., Application of energy storage to restraining photovoltaic power fluctuation based on SOC feedback, Proceedings of the CSU-EPSA, 28, 9, pp. 63-67, (2016)