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A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid

机译:智能电网中电力系统,通信和市场的协同仿真架构

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Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domain-specific software. The challenges that arise in a multidomain smart grid cosimulation are identified for typical use cases through a discussion of the recent literature. Based on the identified requirements and use cases, a joint representation of the smart grid ecosystem is facilitated by a comprehensive data model. The proposed data model is then integrated in a software architecture, where the domain-specific simulators for the power grid, the communication network, and the market mechanisms are combined in a cosimulation framework. The details of the software architecture and its implementation are presented. Finally, the implemented framework is used for the cosimulation of a virtual power plant, where battery storages are controlled by a novel peak-shaving algorithm, and the battery storages and the market entity are interfaced through a communication network.
机译:智能电网迅速发展成为一个包含来自不同领域的组件的系统,这使得跨学科的建模和分析必不可少。在本文中,我们提出了智能电网的协同仿真架构以及用于电力系统,通信网络和能源市场的整体表示的综合数据模型。协同仿真优于单片方法,因为它可以利用现有的,公认的特定领域软件的功能。通过讨论最新文献,可以确定典型案例中多域智能电网协同仿真中出现的挑战。基于已识别的需求和用例,综合数据模型可促进智能电网生态系统的联合表示。然后,将提出的数据模型集成到软件体系结构中,在该体系结构中,用于电网,通信网络和市场机制的特定于域的仿真器将被合并到一个协同仿真框架中。给出了软件体系结构及其实现的详细信息。最后,将实现的框架用于虚拟发电厂的协同仿真,在虚拟发电厂中,电池存储由一种新颖的削峰算法控制,并且电池存储和市场实体通过通信网络连接。

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