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ISSN 0254-0096 CN 11-2082/K

太阳能学报 ›› 2022, Vol. 43 ›› Issue (3): 53-60.DOI: 10.19912/j.0254-0096.tynxb.2020-0533

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风氢耦合系统超前控制策略研究

卢捷1, 于立军2, 郑培2, 侯胜亚2   

  1. 1.上海交通大学中英国际低碳学院,上海 201306;
    2.上海交通大学智慧能源创新学院,上海 200240
  • 收稿日期:2020-06-10 发布日期:2022-09-28
  • 通讯作者: 于立军(1969—),男,博士、教授,主要从事智慧能源方面的研究。ljyu@sjtu.edu.cn
  • 基金资助:
    上海市科学技术委员会基金(19DZ1206202)

RESEARCH ON ADVANCED CONTROL STRATEGY OF WIND HYDROGEN COUPLING SYSTEM

Lu Jie1, Yu Lijun2, Zheng Pei2, Hou Shengya2   

  1. 1. China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China;
    2. College of Smart Energy, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-06-10 Published:2022-09-28

摘要: 针对风电场计划出力跟踪精度不足、储能系统调控不力、输出功率波动较大的问题,本文提出风氢耦合系统超前控制策略,其中风氢耦合系统由风电机组-电解槽-储氢罐-燃料电池耦合而成。基于氢储能系统状态、超短期预测功率及日前计划出力,制定系统调节策略,提出最大化计划出力跟踪能力、最大化储能系统调节能力以及最小化功率波动平滑加权的目标函数,利用布谷鸟搜索算法对出力参数进行逐点滚动优化,实现风氢耦合系统计划出力跟踪能力的有效提高。所提出的超前控制策略能减小系统实际输出与出力计划的误差,保持氢储能系统有效调节能力,减小系统平均功率波动,具有良好的应用前景。

关键词: 风电, 氢储能, 功率预测, 布谷鸟算法, 超前控制策略

Abstract: Aiming at the problems of insufficient tracking accuracy of planned wind farm output, weak energy storage system regulation, large output power fluctuations, this paper proposes an advanced control strategy for the wind-hydrogen coupling system. Based on the state of the hydrogen storage system, the ultra-short-term power forecasting and the day ahead power forecasting, formulate a system adjustment strategy, propose the objective function of maximizing the planned output tracking ability, maximizing the energy storage system adjustment ability, and minimizing the power fluctuation smooth weighting, using algorithm performs point-by-point scroll optimization on the output parameters to achieve the effective improvement of the planned output tracking ability of the wind-hydrogen coupling system. The advanced control strategy proposed can reduce the error between the actual output of the system and the output plan, maintain the effective adjustment capacity of the hydrogen energy storage system, and reduce the average power fluctuation of the system, which has a good application prospect.

Key words: wind power, hydrogen storage, power prediction, cuckoo algorithm, advanced control strategy

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