面向韧性的城市能源系统安全规则提取及优化运行

Resilience-oriented Security Rule Extraction and Optimal Operation for Urban Energy System

城市能源系统不仅需要具备高可靠性以应对小规模、大概率的日常故障事件,还需要具备高韧性以应对大规模、小概率的极端灾害事件。随着跨能源形式耦合以及电力电子化程度的不断提高,城市能源系统有望通过协调跨系统能量转移和海量电力电子设备快速调节提升系统韧性。首先,文中提出了极端灾害事件下城市能源系统两阶段韧性运行模型,综合考虑了电力电子设备快动态特性和多能源网络慢动态特性的建模与协调。其次,针对韧性模型存在多约束、求解复杂度高等问题,提出了基于稀疏权重斜决策树理论的数据驱动城市能源系统安全规则提取方法,将复杂的韧性模型转化为少量的混合整数线性约束,即安全规则,并内嵌至系统正常运行模型。最后,通过算例分析验证了所提方法的有效性及其相较于传统模型驱动方法在计算效率上的优势。

Urban energy systems not only need to have high reliability for small-scale and large-probability daily failure events,but also need to have high resilience to cope with large-scale and small-probability extreme disaster events.With the increasing coupling of cross-energy forms and power electronization,the urban energy system is expected to improve system resilence through coordinated cross-system energy transfer and rapid regulation of massive power electronic devices.First,this paper proposes a two-stage resilience operation model for urban energy systems under extreme disaster events,which integrates the modeling and coordination of fast dynamic characteristics of power electronic devices and slow dynamic characteristics of multi-energy networks.Then,to address the problems of multiple constraints and high solution complexity of the resilience model,a data-driven urban energy system security rule extraction method based on space-weighted inclined decision tree theory is proposed.The method transforms the complex resilience model into a small number of mixed-integer linear constraints,namely security rules,and embeds them into the system normal operation model.Finally,the effectiveness of the proposed method and its advantages in computational efficiency over the traditional model-driven methods are verified by case analysis.