双碳-节能型电磁新材料背景下的人工智能风险防控技术

Risk prevention and control technology of smart grid under the background of double carbon-new electrical materials

为了全面建设安全、可靠、绿色、高效、智能的现代化电网,确保电网安全和电力可靠供应。研究将风险评估理论应用于电网静态安全预防控制中,结合相关条件选取风险识别智能算法学习度,利用自适应寻优算法优化状态识别与输出相关信息,采用最优负荷削减和供电恢复过程的网络重构对具有针对性的风险控制技术方案予以实施,为电网电力系统提供强有力的技术支持,使其在更短的时间内实现对一系列运行环节可能出现的事故或者是风险的高效预防。

A comprehensive modern power grid that is safe,reliable,green,efficient and smart is in urgent need to ensure grid security and reliable power supply.In this paper,the risk assessment theory is applied to the static safety control of power grid,the learning degree of intelligent risk identification algorithm is selected based on relevant conditions,the state identification and output of relevant information are optimized by the adaptive optimization algorithm,and the targeted risk control technology is implemented by the optimal load reduction and network reconstruction in the process of power supply restoration.It can provide powerful technical support for the power grid system,realizing efficient prevention of a series of accidents or risks that may occur in operation in a shorter time.