发电技术 ›› 2024, Vol. 45 ›› Issue (3): 412-422.DOI: 10.12096/j.2096-4528.pgt.23153

• 灵活性发电技术 • 上一篇    下一篇

考虑平抑未来时刻风电波动的混合储能系统超前模糊控制策略

周丹1, 袁至1, 李骥2, 范玮3   

  1. 1.可再生能源发电与并网控制教育部工程研究中心(新疆大学),新疆维吾尔自治区 乌鲁木齐市 830017
    2.国网新疆电力有限公司电力科学研究院,新疆维吾尔自治区 乌鲁木齐市 830011
    3.中国石油天然气股份有限公司塔里木油田分公司,新疆维吾尔;自治区 库尔勒市 841000
  • 收稿日期:2023-11-19 修回日期:2024-01-19 出版日期:2024-06-30 发布日期:2024-07-01
  • 通讯作者: 袁至
  • 作者简介:周丹(1995),女,硕士研究生,研究方向为可再生能源发电与并网控制,107552104116@stu.xju.edu.cn
    袁至(1984),男,博士,副教授,研究方向为可再生能源发电与并网控制,本文通信作者,yzisthecure@163.com
  • 基金资助:
    国家自然科学基金项目(52067020);新疆维吾尔自治区重大科技专项项目(2022A01004-1)

An Advanced Fuzzy Control Strategy for Hybrid Energy Storage Systems Considering Smoothing of Wind Power Fluctuations at Future Moments

Dan ZHOU1, Zhi YUAN1, Ji LI2, Wei FAN3   

  1. 1.Renewable Energy Power Generation and Grid-connected Control Engineering Research Center of the Ministry of Education (Xinjiang University), Urumqi 830017, Xinjiang Uygur Autonomous Region, China
    2.Electric Power Research Institute of State Grid Xinjiang Electric Power Co. , Ltd. , Urumqi 830011, Xinjiang Uygur Autonomous Region, China
    3.Tarim Oilfield Company of Petro China, Korla 841000, Xinjiang Uygur Autonomous Region, China
  • Received:2023-11-19 Revised:2024-01-19 Published:2024-06-30 Online:2024-07-01
  • Contact: Zhi YUAN
  • Supported by:
    National Natural Science Foundation of China(52067020);Major Science and Technology Special Projects of Xinjiang Uygur Autonomous Region(2022A01004-1)

摘要:

目的 现有的混合储能系统控制策略难以在保持荷电状态(state of charge,SOC)处于合理范围的同时,满足未来时刻风电波动造成的混合储能系统超前充放电需求,因此提出一种考虑平抑未来时刻风电功率波动的混合储能系统超前模糊控制策略。 方法 首先,通过采用集合经验模态分解(ensemble empirical mode decomposition,EEMD)方法分解得到不同类型储能设备需要平抑的风电功率;其次,根据混合储能系统SOC和功率饱和程度整定功率修正参数,对混合储能系统输出功率进行修正;再次,由风电预测算法得到前瞻周期内风电功率预测值,根据前瞻周期内风电功率波动情况和超前控制理论整定提前充放电参数,校正储能系统输出功率;最后,以某风电场的实际数据为例,通过仿真验证了所提超前模糊控制策略的有效性。 结果 提出的控制策略不仅能够降低风电并网波动越限概率,显著减少总输出功率与目标功率偏差值,而且能够使混合储能系统的SOC控制在合理范围内。 结论 该策略可以为平抑风电波动的相关研究提供有益参考。

关键词: 风力发电, 混合储能系统, 模糊控制, 超前控制

Abstract:

Objectives The existing hybrid energy storage system control strategy finds it difficult to maintain the state of charge (SOC) within a reasonable range while also meeting the advanced charging and discharging needs due to future wind power fluctuations. Therefore, a new advanced fuzzy control strategy for hybrid energy storage systems was proposed, which takes into account the smoothing of future wind power fluctuations. Methods Firstly, the wind power needing to be smoothed by different types of energy storage devices was decomposed using the ensemble empirical mode decomposition (EEMD) method. Secondly, the power correction parameter was adjusted according to the SOC and power saturation level of the hybrid energy storage system to correct its output power. Thirdly, the wind power prediction algorithm was used to obtain the predicted value of wind power in the forward-looking cycle. The advance charging and discharging parameters were adjusted to correct the output power of the energy storage system based on the wind power fluctuations in the forward-looking cycle and the over-advance control theory. Finally, taking the actual data of a wind farm as an example, the validity of the proposed forward-looking fuzzy control strategy was validated through simulation. Results The proposed control strategy can not only reduce the over-limit probability of wind power grid-connected fluctuation, significantly reduce the deviation between the total output power and the target power, but also maintain the SOC of the hybrid energy storage system within a reasonable range. Conclusions This strategy can provide a useful reference for research related to smoothing wind power fluctuations.

Key words: wind power, hybrid energy storage system, fuzzy control, advanced control

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