| 风氢耦合系统超前控制策略研究 |
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| 引用本文： | 卢捷,于立军,郑培,侯胜亚.风氢耦合系统超前控制策略研究[J].太阳能学报,2022,43(3):53-60. |
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| 作者姓名： | 卢捷 于立军 郑培 侯胜亚 |
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| 作者单位： | 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 |
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| 基金项目： | 上海市科学技术委员会基金（19DZ1206202） |
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| 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...
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| 关 键 词： | 风电 氢储能 功率预测 布谷鸟算法 超前控制策略 |
| 收稿时间： | 2020-06-10 |
RESEARCH ON ADVANCED CONTROL STRATEGY OF WIND HYDROGEN COUPLING SYSTEM |
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| Lu Jie,Yu Lijun,Zheng Pei,Hou Shengya.RESEARCH ON ADVANCED CONTROL STRATEGY OF WIND HYDROGEN COUPLING SYSTEM[J].Acta Energiae Solaris Sinica,2022,43(3):53-60. |
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| Authors: | Lu Jie Yu Lijun Zheng Pei Hou Shengya |
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| Affiliation: | 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 |
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| 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. |
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| Keywords: | wind power hydrogen storage power prediction cuckoo algorithm advanced control strategy |
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