制氢系统参与火电辅助调峰的容量配置优化

曹炜; 钟厦; 王海华; 韩学栋; 潘磊

doi:10.16513/j.2096-2185.DE.2001005

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分布式能源 ›› 2020, Vol. 5 ›› Issue (2) : 15-20. DOI: 10.16513/j.2096-2185.DE.2001005

学术研究

制氢系统参与火电辅助调峰的容量配置优化

作者信息 +

Optimal Capacity Allocation of Hydrogen Production System Participating Peak Regulation for Auxiliary with Thermal Power Plant

Author information +

文章历史 +

摘要

风电等可再生能源装机比例不断增大，其出力的间歇性和波动性给电力系统调度和运行带来了巨大压力，电网对调峰的需求日益迫切。对制氢系统参与火电机组辅助调峰服务容量配置优化模型进行研究，将电网无法消纳的弃风电量通过电解水制氢进行利用，提高了资源利用效率。通过对面向调峰的制氢系统技术经济模型分析，基于火电和制氢系统约束条件，提出了制氢系统参与火电辅助调峰的控制策略。考虑受风电波动影响的电网综合负荷，得出制氢系统容量优化配置方案，并在实际算例模型中进行了分析，验证了理论分析的正确性。

Abstract

Due to the increasing proportion of renewable energy installations such as wind power, which brings great pressure to power system operation and dispatching because of intermittency and volatility of wind power, the demand for auxiliary peak regulation is becoming more urgent. This paper studied on the optimization model of hydrogen production system participating in peak regulation for auxiliary with thermal power plant, the abundant wind power which cannot consumed by the power grid is stored by way electrolytic water and hydrogen storage, which can improve resource utilization efficiency. Through the analysis of techno economic model of hydrogen production system participating peak regulation, considering thermal power and hydrogen production system constraints, the control strategy of hydrogen production system participating in peak regulation for auxiliary is proposed. Considering the integrated load effected by wind fluctuations, capacity optimization configuration scheme of hydrogen production system is obtained, and the scheme is analyzed in the actual example model, which verifies the correctness of the theoretical analysis.

导出引用

曹炜, 钟厦, 王海华, 等. 制氢系统参与火电辅助调峰的容量配置优化[J]. 分布式能源. 2020, 5(2): 15-20 https://doi.org/10.16513/j.2096-2185.DE.2001005

Wei CAO, Xia ZHONG, Haihua WANG, et al. Optimal Capacity Allocation of Hydrogen Production System Participating Peak Regulation for Auxiliary with Thermal Power Plant[J]. Distributed Energy Resources. 2020, 5(2): 15-20 https://doi.org/10.16513/j.2096-2185.DE.2001005

中图分类号： TK91

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