Power Grid Simulation Testbed for Transactive Energy Management Systems
Power Grid Simulation Testbed for Transactive Energy Management Systems
复制标题
交互式能源管理系统的电网仿真测试台
作者：
Ozgur Ozmen;J. Nutaro;M. Starke;J. Munk;Larry E. Roberts;Xiao Kou;Piljae Im;Jin Dong;F. Li;T. Kuruganti;H. Zandi
为了有效地利用需求侧和分布式能源（DER）来动态地维持电力平衡，必须克服大规模控制和协调建筑设备和DER的挑战。虽然在文献中已经提出了几种控制技术，但在实践中应用这些技术的一个重大障碍是获得有效的测试平台。使用真实的设备进行规模试验是不切实际的，因此模拟提供了在实际感兴趣的规模上进行开发试验的唯一可行途径。现有的电网测试平台无法模拟单个住宅终端设备，以开发响应负载和DER的详细控制配方。此外，它们无法模拟亚分钟时间尺度的控制和通信。为了解决这些问题，本文提出了一种新的电网仿真试验平台的交互式能量管理系统。主要家用电器的详细模型（例如，加热和冷却系统、热水器、光电板、能量存储系统）被提供以响应于环境参数和控制命令来模拟真实的负载行为。拟议的测试平台结合了软件，因为它将被部署，并使可部署的软件与各种建筑设备模型进行交互，以进行大规模的端到端性能评估。
To effectively engage demand-side and distributed energy resources (DERs) for dynamically maintaining the electric power balance, the challenges of controlling and coordinating building equipment and DERs on a large scale must be overcome. Although several control techniques have been proposed in the literature, a significant obstacle to applying these techniques in practice is having access to an effective testing platform. Performing tests at scale using real equipment is impractical, so simulation offers the only viable route to developmental testing at scales of practical interest. Existing power-grid testbeds are unable to model individual residential end-use devices for developing detailed control formulations for responsive loads and DERs. Furthermore, they cannot simulate the control and communications at subminute timescales. To address these issues, this paper presents a novel power-grid simulation testbed for transactive energy management systems. Detailed models of primary home appliances (e.g., heating and cooling systems, water heaters, photovoltaic panels, energy storage systems) are provided to simulate realistic load behaviors in response to environmental parameters and control commands. The proposed testbed incorporates software as it will be deployed, and enables deployable software to interact with various building equipment models for end-to-end performance evaluation at scale.