逆变器穿透电网的模块化小信号分析框架：测量、组装、聚合和稳定性评估
A Modular Small-Signal Analysis Framework for Inverter Penetrated Power Grids: Measurement, Assembling, Aggregation, and Stability Assessment
摘要：
由于基于逆变器的资源（IBR）的越来越高的渗透，在电网中可能出现前所未有的动态现象，例如，风能和太阳能光伏（PV）。动态建模和分析中的一个主要挑战是，与同步发电机不同，其分析模型已被系统规划人员充分研究和了解，逆变器模型是提供给公用事业的黑盒模型的专有信息。因此，基于测量的IBR表征是找到IBR的频域响应的流行方法。由此产生的导纳在频域中基本上是小信号电流/电压关系。集成导纳进行电网动态建模和分析需要一个新的框架，即模块化小信号分析框架。在这篇有远见的论文中，我们研究了当前最先进的动态建模和分析的电网与IBR，包括逆变器导纳特性，组件组装和聚合的过程，和稳定性评估。我们提出了一个计算高效的模块化建模和分析框架，通过四个愿景：（i）有效和准确的导纳模型表征通过模型构建和时域响应，（ii）准确组装组件，（iii）有效的聚合，（iv）稳定性评估依赖于网络导纳矩阵。在这篇有远见的论文中，使用例子和技术来解决这些挑战，证明了基于导纳的模块化分析的挑战。
英文摘要：
Unprecedented dynamic phenomena may appear in power grids due to higher and higher penetration of inverter-based resources (IBR), e.g., wind and solar photovoltaic (PV). A major challenge in dynamic modeling and analysis is that unlike synchronous generators, whose analytical models are well studied and known to system planners, inverter models are proprietary information with black box models provided to utilities. Thus, measurement based characterization of IBR is a popular approach to find frequency-domain response of an IBR. The resulting admittances are essentially small-signal current/voltage relationship in frequency domain. Integrating admittances for grid dynamic modeling and analysis requires a new framework, namely modular small-signal analysis framework. In this visionary paper, we examine the current state-of-the-art of dynamic modeling and analysis of power grids with IBR, including inverter admittance characterization, the procedure of component assembling and aggregation, and stability assessment. We push forward a computing efficient modular modeling and analysis framework via four visions: (i) efficient and accurate admittance model characterization via model building and time-domain responses, (ii) accurate assembling of components, (iii) efficient aggregation, and (iv) stability assessment relying on network admittance matrices. Challenges of admittance-based modular analysis are demonstrated using examples and techniques to tackle those challenges are pointed out in this visionary paper.
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。
