主动配电网中聚合分布式能源灵活性的溯源、排序与估值
Tracing, Ranking and Valuation of Aggregated DER Flexibility in Active Distribution Networks
AI总结：
本文结合精确交流最优潮流模型与合作博弈，提出主动配电网中聚合分布式能源灵活性的溯源、排序和估值框架，并通过无交换约束和非线性度量帮助配电系统运营商识别不可靠运行区域。
摘要：
分布式能源（DER）的集成使主动配电网（ADN）成为灵活性服务的天然提供者。然而，ADN中灵活单元的最优运行高度复杂，这给配电系统运营商（DSO）在聚合DER灵活性方面带来了挑战。例如，为了最大化服务提供，灵活单元必须被强协调以管理网络约束，例如执行功率交换。此外，由于聚合DER灵活性提供中的非线性，一些单元可能需要快速改变其出力以使服务成为可能。为了应对这些挑战，本文将精确的交流最优潮流（OPF）模型与合作博弈公式相结合，提出了一个用于ADN中聚合DER灵活性溯源、排序和估值的新框架。在33节点辐射状配电网上进行的大量测试和仿真表明，该框架能够通过对灵活单元的关键性进行排序，并基于其成本或经济剩余进行灵活性估值，将复杂的DER交互转化为对DSO有用的信息。此外，该框架提出了无交换约束和一个非线性度量，DSO可以利用这些约束和度量来识别存在功率交换或灵活单元调度快速变化的不可靠运行区域。
英文摘要：
The integration of distributed energy resources (DER) makes active distribution networks (ADNs) natural providers of flexibility services. However, the optimal operation of flexible units in ADNs is highly complex, which poses challenges for distribution system operators (DSOs) in aggregating DER flexibility. For example, to maximise the provision of services, flexible units must be strongly coordinated to manage network constraints, e.g., perform power swaps. Furthermore, due to the nonlinearities of aggregated DER flexibility provision, some units may need to rapidly change their outputs to enable the services. To address these challenges, this paper brings together exact AC optimal power flow (OPF) models and a cooperative game formulation and presents a new framework for tracing, ranking, and valuation of aggregated DER flexibility in ADNs. Extensive tests and simulations performed for the 33-bus radial distribution network demonstrate that the framework enables translating complex DER interactions into useful information for DSOs by ranking the criticality of flexible units and performing flexibility valuation based on its cost or economic surplus. Additionally, the framework proposes no-swap constraints and a nonlinearity metric which can be used by DSOs to identify unreliable operating regions with power swaps or rapid changes in flexible unit dispatch.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
