← 返回
电力与天然气系统耦合灵活性:气体流动建模与求解方法的选择至关重要
Flexibility of Integrated Power and Gas Systems: Gas Flow Modeling and Solution Choices Matter
| 作者 | Enrica Raheli · Yannick Werner · Jalal Kazempour |
| 期刊 | IEEE Transactions on Power Systems |
| 出版日期 | 2024年11月 |
| 技术分类 | 储能系统技术 |
| 技术标签 | SiC器件 |
| 相关度评分 | ★★★★★ 5.0 / 5.0 |
| 关键词 | 天然气管道 管存 电力系统 建模与求解 灵活性供应 |
语言:
中文摘要
由于天然气管道的气流动态较慢,其可作为短期储能,即所谓的“管存”(linepack)。通过高效利用管存,天然气系统可通过燃气电厂的灵活运行向电力系统提供灵活性。这要求精确刻画由偏微分方程描述的气体流动物理特性。尽管已有多种建模与求解方法被提出,但其对天然气系统向电力系统提供灵活性的影响尚未得到充分分析与比较。本文首先构建统一框架,整合现有方法并阐明其从偏微分方程的推导与应用;其次,在该框架下数值评估不同建模与求解选择对灵活性供给的影响。关键结论表明,基于松弛的方法允许管存在物理上不可行的高速充放,从而高估系统灵活性。
English Abstract
Due to their slow gas flow dynamics, natural gas pipelines function as short-term storage, the so-called linepack. By efficiently utilizing linepack, the natural gas system can provide flexibility to the power system through the flexible operation of gas-fired power plants. This requires accurately representing the gas flow physics governed by partial differential equations. Although several modeling and solution choices have been proposed in the literature, their impact on the flexibility provision of gas networks to power systems has not been thoroughly analyzed and compared. This paper bridges this gap by first developing a unified framework. We harmonize existing approaches and demonstrate their derivation from and application to the partial differential equations. Secondly, based on the proposed framework, we numerically analyze the implications of various modeling and solution choices on the flexibility provision from gas networks to power systems. One key conclusion is that relaxation-based approaches allow charging and discharging the linepack at physically infeasible high rates, ultimately overestimating the flexibility.
S
SunView 深度解读
该研究对阳光电源PowerTitan储能系统与电网协同优化具有重要价值。论文揭示的管存灵活性建模方法可直接应用于ST系列储能变流器的能量管理策略:在电-气耦合场景下,精确的气流动态模型能优化燃气电厂与储能系统的协同调度,避免基于松弛方法导致的灵活性高估。对于配置iSolarCloud平台的大型储能项目,可借鉴偏微分方程建模思路,精确刻画电池储能的充放电动态约束,提升AGC/一次调频等辅助服务的响应精度。该方法论对构网型GFM控制下的多能互补系统(光伏+储能+燃气)协调控制具有理论指导意义,可提升系统灵活性评估准确性,优化容量配置与经济性。