专栏名称: AEii国际应用能源
发布应用能源领域资讯,介绍国际应用能源创新研究院工作,推广应用能源优秀项目,增进应用能源领域合作
相关文章推荐
贵州日报  ·  遵义市最新人事 ·  昨天  
百姓关注  ·  花语墅丨悬浮于城市上空的森林庭院 ·  昨天  
贵州日报  ·  跟着总书记的考察足迹|侗寨歌飞扬 ·  昨天  
百姓关注  ·  戴口罩!戴口罩!一地小学暴发疫情! ·  2 天前  
贵州日报  ·  猜猜猜丨这是贵州哪道特色美食? ·  3 天前  
51好读  ›  专栏  ›  AEii国际应用能源

【Applied Energy最新原创论文】耦合可再生能源和混合季节性-电池储能的孤岛微电网长期运行优化

AEii国际应用能源  · 公众号  ·  · 2023-08-16 18:30

正文

原文信息

Long-term operation of isolated microgrids with renewables and hybrid seasonal-battery storage

原文链接:

https://www.sciencedirect.com/science/article/pii/S0306261923009923

Highlights

A data-driven scheduling-correction framework is proposed to provide real-time actions with a global vision, making better use of the seasonal hydrogen storage. In the scheduling module, ex-post optimal SoC sequences of the seasonal storage are generated using historical data. In the correction module, the real-time operation relies on a bi-objective rolling-horizon optimization problem which minimizes the operating cost while following the SoC reference of the seasonal storage, which is sequentially updated along with time.

•The kernel regression technique is established to sequentially update the SoC reference of the seasonal hydrogen storage. This technique calibrates a conditional probability distribution based on the newly observed data; the resulting distribution (weight coefficients) interprets how likely the current year is similar to each of the past years. The reference is updated in each period according to the weighted sum of the ex-post optimal SoC sequences.

•Systematic tests are conducted to compare the cost, load shedding, and renewable energy curtailment achieved by different methods. Numerical results show that the scheduling-correction framework can fully exploit the seasonal storage. The proposed method outperforms existing rolling horizon approaches in compromising economy, power supply reliability, and renewable energy utilization.

摘要

随着碳中和目标的推进,基于可再生能源的微电网受到了广泛关注。为了应对可再生能源功率在不同时间尺度上的波动,需要配备长期和短期的储能设备。本文研究了混合季节性-电池储能与高比例可再生能源相结合的孤岛微电网的优化运行。提出了一种基于数据驱动的调度-修正框架。调度模块利用可再生能源和用户负荷的历史数据,在运行年之前生成季节性储能的事后最优荷电状态的序列。在每个实时运行阶段,修正模块执行以下两个步骤:一是根据事后最优荷电状态序列的新获得的数据更新季节性储能的参考荷电状态,二是求解一个双目标的滚动优化问题,在获得最小化运行成本的同时,使季节性储能的荷电状态达到参考值。所提方法不需要长期的可再生能源预测是一个吸引人的点。并以微电网为例,验证本文所提的框架。数值模拟表明,调度-修正框架在兼顾经济性、供电可靠性和可再生能源利用方面优于现有的滚动优化方法。

更多关于“Microgrids”的文章请见:

https://www.sciencedirect.com/search?qs=microgrids&pub=Applied%20Energy&cid=271429

Abstr act

With the progress of decarbonization, renewable-powered microgrids are attracting wide attention. To cope with the fluctuation of renewable power at different timescales, both long-term and short-term energy storage devices are required. This paper studies the operation of renewable-dominated isolated microgrids integrated with hybrid seasonal-battery storage. A data-driven scheduling-correction framework is proposed. By leveraging the historical data of renewable power and load, the scheduling module generates ex-post optimal state-of-charge (SoC) sequences of the seasonal energy storage ahead of the operating year. In each period of real-time operation, the correction module performs two steps: the first step is to update the reference SoC for the seasonal storage based on the ex-post optimal SoC sequences and the newly observed data; the second step is to solve a bi-objective rolling-horizon optimization problem which minimizes the instant operating cost while steering the SoC of seasonal storage to its reference value. An appealing feature of the proposed method is that the long-term renewable power forecasts are not required. A microgrid system is devised to verify the proposed framework. Numerical tests show that the scheduling-correction framework outperforms existing rolling horizon approaches in compromising economy, power supply reliability, and renewable energy utilization.

Keywords

Data-driven method

Hybrid seasonal-battery energy storage

Long-term operation

Microgrid

Graphics







请到「今天看啥」查看全文