AI 中文总结
针对配电网级能源系统电价机制评估需求，提出基于数字孪生的方法，整合多种建模与抽象，应用于丹麦局部集体电价评估，揭示其对成本及时间对齐的影响，为分析比较电价结构提供基础。
AI 中文摘要
这项工作满足了对配电网级能源系统中实施的电价机制进行工程化评估的需求。提出了一种基于数字孪生的方法，用于在实际行为和基础设施条件下评估局部集体电价。该方法整合了基于代理的家庭消费和发电建模、通过共享计量抽象进行虚拟聚合，以及在统一模拟环境中明确表示电价逻辑。通过将该方法应用于丹麦局部集体电价，涵盖具有光伏发电、电池存储和电动汽车充电的代表性住宅能源社区配置进行了演示。结果表明，异构需求曲线的聚合降低了峰值重合度，并能更有效地分配电价组成部分，从而在社区层面实现可衡量的成本降低。同时，结果揭示了对消费和发电时间对齐的敏感性，影响了参与者之间成本中性的程度。研究结果说明了基于数字孪生的评估如何通过捕捉基础设施、用户行为和监管设计之间的相互作用，支持对电价机制的系统评估。所提出的方法为分析和比较配电网级能源系统中的电价结构提供了基础，超越了所考虑的具体案例。
英文摘要
This work addresses the need for engineering-grounded evaluation of implement-ed tariff mechanisms in distribution-level energy systems. A digital twin-based method is proposed for assessing local collective tariffs under realistic behavioral and infrastructural conditions. The approach integrates agent-based modeling of household consumption and generation, virtual aggregation through a shared metering abstraction, and explicit representation of tariff logic within a unified simulation environment. The method is demonstrated through its application to the Danish Local Collective Tariff across representative residential energy community configurations, including scenarios with photovoltaic generation, battery storage, and electric vehicle charging. Results indicate that aggregation of heterogeneous demand profiles reduces peak coincidence and enables more efficient allocation of tariff components, leading to measurable cost reductions at the community level. At the same time, the outcomes reveal sensitivity to the temporal alignment of consumption and generation, influencing the degree of cost neutrality across participants. The findings illustrate how digital twin-based evaluation can support systematic assessment of tariff mechanisms by capturing the interaction between infrastructure, user behavior, and regulatory design. The proposed approach provides a basis for analyzing and comparing tariff structures in distribution-level energy systems beyond the specific case considered.
