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Simulation models for evaluation of network design and hierarchical transactive control mechanisms in Smart Grids

机译:用于评估智能电网网络设计和分层传动控制机制的仿真模型

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Smart-grid technologies seek to enhance the electrical grid's efficiency by introducing bi-directional communication and dynamic adaptive control between energy suppliers and consumers. We develop a large-scale network simulation model for evaluating such a hierarchical transactive control system that is part of our work on the Pacific Northwest Smart Grid Demonstration Project. The transactive control system communicates local supply conditions using incentive signals and load adjustment responses using feedback signals in a distributed fashion in order to match the consumer-desired load to the utility-desired supply scenario. We study the system protocol and a dynamic control mechanism that is implied by the design under a reasonable collection of models that capture load variation, stochastic signal losses, consumer fatigue to demand response and certain `stickiness' criterion on the control signals that arise out of physical constraints. Our results indicate that the control mechanism can perform adequately in adjusting the aggregate supply-demand mismatch, and is robust to steady transactive signal losses.
机译:智能电网技术通过在能源供应商和消费者之间引入双向通信和动态自适应控制来提高电网的效率。我们开发了一个大规模的网络仿真模型,用于评估这种分层矫正控制系统,这是我们在太平洋西北智能电网示范项目上的工作的一部分。传感器控制系统通过以分布式方式使用激励信号和负载调整响应来传达本地供应条件,以便将消费者所需负载与实用程序所需的供应方案匹配。我们研究了系统协议和动态控制机制,在合理的模型集合中暗示了捕获负载变化,随机信号损失,消费者疲劳,以要求响应和某些“粘性”标准所产生的物理限制。我们的结果表明,控制机构可以充分地进行调整聚合供需不匹配,并且对稳定的传感器信号损耗具有稳健性。

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