The price-based demand response has been considered one of the most effective ways to reduce the peak demand of power grids. However, it is possible to form a new rebound critical peak to threaten the grid stability and economic operation when large-scale loads respond to the price signal simultaneously. Based on the Internet of Things (IoT), this paper proposes a cloud-edge coordination (CEC) automatic control strategy to enable interaction and cooperation among the power grid and massive individual air conditioners (ACs) and eliminate the grid rebound critical peak of the synchro-response. Edge computing actively provides optional cooperation electricity plans, migrates computationally intensive tasks from the cloud and guarantees the privacy of users. Considering the unreliability of network transmission, data packet dropouts (/or delays and even downtime) are inevitable and usually random in the transmission, and a dual-feedback closed-loop control is first proposed in this paper. Finally, the effectiveness of the optimized closed-loop control strategy is verified by simulation cases.

中文翻译：

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考虑数据包丢失的大型空调价格响应的云边缘协作模型和闭环控制策略

基于价格的需求响应已被认为是降低电网高峰需求的最有效方法之一。但是，当大型负载同时响应价格信号时，有可能形成一个新的反弹临界峰，从而威胁到电网的稳定性和经济运行。本文基于物联网（IoT），提出了一种云边缘协调（CEC）自动控制策略，以实现电网与大型单个空调（AC）之间的交互与协作，并消除电网反弹临界点。同步响应。边缘计算积极提供可选的合作用电计划，从云中迁移计算量大的任务，并确保用户的隐私。考虑到网络传输的不可靠性，数据包丢失（或延迟甚至停机）是不可避免的，并且通常在传输中是随机的，因此本文首次提出了双反馈闭环控制。最后，通过仿真实例验证了优化闭环控制策略的有效性。