考虑故障响应与节点电压一致性的含分布式可再生能源负荷侧系统等效建模
Equivalent Modeling of Load-Side Systems With Distributed Renewable Generation Considering Fault Responses and Nodal Voltage Coherence
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中文总结 AI 辅助
本文提出一种基于代表性运行条件生成低阶物理等效模型的方法，通过响应族构建、误差定架构、灵敏度定系数及故障模板复用，改善含分布式可再生能源配电网在多种故障下的终端响应。
中文摘要 AI 辅助
运行条件和故障严重程度会改变主动配电网的初始状态和控制模式。因此，直接容量聚合可能会丢失输电系统动态分析所需的功率响应。本文开发了一种从少量代表性运行条件中生成低阶物理电磁暂态等效模型的流程。将设备功率、穿越状态、负荷机械状态和本地序电压与电气距离相结合，形成响应族。响应重构和终端仿真误差决定保留的架构，之后通过有界灵敏度计算确定有效动态系数。架构和系数随后固定。对于新的运行条件，容量和功率平衡、电压相关负荷关系以及初始化修正从静态输入和潮流结果中生成模型参数。一个代表性的严重故障为每种故障类型建立模板，该模板可跨故障深度复用。聚合和切换时间界限解释了电压一致性和状态分离的作用。与直接聚合相比，在多种运行条件和若干故障类型下终端响应均得到改善，其中在严重不平衡故障下增益最大。该方法为运行条件研究和故障深度筛选提供了可复用的物理等效模型。
英文摘要
Operating conditions and fault severity change both the initial states and control modes of active distribution networks. Direct capacity aggregation can therefore lose the power responses required for transmission-system dynamic analysis. This paper develops a procedure for generating low-order physical electromagnetic transient equivalents from a small set of representative operating conditions. Device power, ride-through states, load mechanical states, and local sequence voltages are combined with electrical distance to form response families. Response reconstruction and terminal simulation errors determine the retained architecture, after which bounded sensitivity calculations determine effective dynamic coefficients. The architecture and coefficients are then fixed. For a new operating condition, capacity and power balances, voltage-dependent load relations, and an initialization correction generate the model parameters from static inputs and power-flow results. A representative severe fault establishes a template for each fault type, which is reused across fault depths. Aggregation and switching-time bounds explain the roles of voltage coherence and state separation. Comparisons with direct aggregation show improved terminal responses across operating conditions and several fault types, with the largest gains under severe unbalanced faults. The method provides a reusable physical equivalent for operating-condition studies and fault-depth screening.
发表机构
- Tsinghua University（清华大学）
- State Grid Gansu Electric Power Research Institute（国网甘肃省电力公司电力科学研究院）
机构由 AI 辅助整理，请以论文原文为准。
