首页|结合电-热-氢储能的综合能源站多时间尺度优化运行

结合电-热-氢储能的综合能源站多时间尺度优化运行

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多元储能是提高综合能源系统可再生能源消纳水平的有效途径,然而,随着耦合储能设备的增多,系统复杂程度增大,由此所带来的系统运行不稳定、能效低等问题制约着综合能源系统发展.因此,提出将储电、储热、储氢集成到综合能源系统中,并开展多时间尺度优化的研究.从构建系统模型到提出日前优化调度、日内滚动优化、实时调整多时间尺度优化方案,充分发挥多元储能优势,解决源荷不确定性对系统的影响.运行结果可见,储电共计调整12.42199MW不平衡电功率,社区可再生能源消纳水平提升0.42%,购电成本降低3.5%,碳税降低1.5%.这表明提出的多时间尺度优化运行方法,通过灵活调整各设备出力,使系统运行更加平稳,提高了系统的稳定性与可再生能源消纳水平.
Multi-Time Scale Optimal Operation of Integrated Energy Station Combined With Electricity-Heat-Hydrogen Energy Storage
Multi-energy storage is an effective way to improve the renewable energy consumption level of integrated energy system. However, with the increase of coupled energy storage equipment, the complexity of the system increases. Unstable operation and low energy efficiency caused by the complexity and uncertainty of the system have restricted the development of integrated energy system. Therefore, this paper proposes to integrate electricity storage, heat storage and hydrogen storage into the integrated energy system, and researches on multi-timescale optimization. From the construction of the system model to proposing multi-timescale optimization schemes such as day-ahead optimal scheduling, intra-day rolling optimization, and real-time adjustment, the advantages of multi-energy storage are fully utilized to solve the impact of source-load uncertainty on the system. The results show that the total power storage is adjusted to 12.42199 MW unbalanced power, the community renewable energy consumption level is increased by 0.42%, the electricity purchase cost is reduced by 3.5%, and the carbon tax is reduced by 1.5%. This shows that the proposed multi-timescale optimal operation method makes the system run more smoothly by flexibly adjusting the output of each device, and improves the stability of the system and the level of renewable energy consumption.

multi-energy storagemulti-timescaleintegrated energy systemoperation optimization

杨佳奇、张顺禹、高飒、单彬彬、王绍琨、宁爱华、周振玲、孟祥睿、吴迪、靳光亚

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国网北京顺义供电公司,北京市 顺义区 101300

华北电力大学能源动力与机械工程学院,河北省 保定市 071000

多元储能 多时间尺度 综合能源系统 运行优化

国家电网北京市电力公司管理科技项目

520216220003

2024

分布式能源
中国大唐集团科学技术研究院有限公司,清华大学出版社有限公司

分布式能源

CSTPCD
ISSN:2096-2185
年,卷(期):2024.9(2)
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