| 风电消纳下多型号制氢机组阵列优化调度研究 |
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| 引用本文： | 林涛,赵丹阳,严寒.风电消纳下多型号制氢机组阵列优化调度研究[J].太阳能学报,2022,43(11):466-473. |
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| 作者姓名： | 林涛 赵丹阳 严寒 |
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| 作者单位： | 1.河北工业大学人工智能与数据科学学院,天津 300130; 2.河北省控制工程技术研究中心,天津 300130 |
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| 基金项目： | 河北省重点研发计划新能源与智能电网技术创新专项（19214501D）; 河北省重点研发计划新能源产业技术创新专项(20314501D) |
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| 摘 要： | 以风电消纳下多型号制氢机组阵列的优化调度为研究对象,首先研究碱式制氢机组的功率-效率特性。在此基础上,以经济收益最大化为目标,对机组出力进行双层优化。使用所提混合二进制萤火虫算法进行机组启停状态优化,粒子群算法进行考虑功率-效率特性的机组功率分配优化。最后对多种阵列方案的经济收益和风电消纳能力进行对比分析。实验结果证明所提算法的有效性和多型号制氢机组阵列方案的优越性。
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| 关 键 词： | 风电 制氢 电解槽 功率-效率特性 萤火虫算法 消纳 |
| 收稿时间： | 2021-05-12 |
RESEARCH ON OPTIMAL SCHEDULING OF MULTI-MODEL HYDROGEN GENERATOR ARRAY UNDER WIND POWER CONSUMPTION |
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| Lin Tao,Zhao Danyang,Yan Han.RESEARCH ON OPTIMAL SCHEDULING OF MULTI-MODEL HYDROGEN GENERATOR ARRAY UNDER WIND POWER CONSUMPTION[J].Acta Energiae Solaris Sinica,2022,43(11):466-473. |
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| Authors: | Lin Tao Zhao Danyang Yan Han |
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| Affiliation: | 1. School of Artificial Intelligence, Hebei University of Technology, Tianjin 300130, China; 2. Control Engineering Technology Research Center of Hebei Province, Tianjin 300130, China |
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| Abstract: | A scheduling optimization strategy for the multi-model hyd'rogen production unit array to consume abandoned wind power was presented in this paper. First, the alkaline hydrogen production unit's power-efficiency characteristics were investigated. On this basis, a dual-level optimization model of the hydrogen production unit's output was established to maximize the economic benefits. The proposed hybrid binary firefly algorithm was used to optimize the unit combination. The particle swarm optimization algorithm was employed to optimize the power allocation of the unit, which considers the hydrogen production unit's power-efficiency characteristics. Finally, a comparison of the economic benefits and wind power consumption capacity of various array schemes were conducted. The results show that the proposed algorithm is effective and that the multi-model hydrogen production unit array scheme is superior. |
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| Keywords: | wind power hydrogen production electrolytic cells power efficiency characteristic firefly algorithm consumption |
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