近年来，由于配电系统中分布式能源(distributed energy resources, DER)增多，电网运行面临新的挑战，即逆潮流、保护协调、电压/无功协调等。常规的潮流控制软件无法解决上述问题，急需开发新一代软件，以提供更好的态势感知和有效消除DER对电网可靠性的影响。常规的DER管理系统通常以垂直集成的方式开发，数据通信结构，用户界面和分析功能紧密耦合在一起。通常，需要付出巨大的努力才能添加新功能或与第三方工具集成。为此，提出了一种创新的基于物联网(internet of thing，IoT)的数据分析框架，该框架具有开放式端到端架构。所提出的数据框架能够实时有效地监控，分析和协调各种分布式网格资源。其分层设计包括边缘计算层，IoT数据管理层和模块化应用程序层。基于此提议的IoT框架，为商业光伏所有者开发了示范光伏发电管理系统。该在线光伏发电管理系统提供了跨多个站点的光伏发电的实时监控。不同的分析功能已集成到此框架中，例如性能分析，PV功率预测等。

In recent years, due to the increasing of distributed energy resources (DERs) in distribution system, power companies experience new challenges in grid operation, i. e. reverse power flow, protection coordination, volt/var coordination and so on. Conventional grid operation softwares are not designed for these operation scenarios. It is key for the next-generation tools to provide better situational awareness and effective way to manage the impacts of DERs on grid reliability. Conventional DER management systems are often developed in a vertically integrated way, that data communication structure, user interface and analytical functions are deeply coupled together. It typically requires significant efforts to add new functions or integrate with third-party tools. In this paper, an innovative internet of thing (IoT) data analytical framework is proposed featuring an open end-to-end architecture. The proposed data framework enables efficient monitoring, analyzing and coordinating of various distributed grid resources in real time. Its hierarchical layered design consists of edge computing layer, IoT data management layer, and modular application layer. A Proof of Concept PV management system is developed based on this proposed IoT framework for a commercial PV fleet owner. This online PV management system provides real-time monitoring of PV fleet across multiple sites. Different analytical functions are integrated onto this framework, e. g. performance analysis, PV power forecasting, etc.