多能源数据驱动的电力信息物理系统综合态势感知模型

Comprehensive situation awareness model of power cyber-physical system driven by multi-energy data

针对高比例可再生能源以及多类型能源设备接入的电网,以电力信息物理融合为基础,研究面向可靠性评估的电力信息物理系统运行状态综合分析方法,提出多能源数据驱动的电力信息物理系统综合态势感知模型。首先,考虑电力信息物理系统中影响系统运行状态的关键因素,研究面向可靠性评估的电力信息物理系统运行状态变化过程;其次,针对电力信息物理系统不同运行状态下关键设备扰动问题,研究基于改进鲁棒估计的电力信息物理系统正常状态、临界状态、紧急状态和恢复状态辨识方法,在此基础上,建立多能源数据驱动的电力信息物理系统综合态势感知模型;最后,以东北某地区电网运行数据为例进行验证。仿真结果表明,文章所提出的方法能够实现以可靠性辨识为目标的电力信息物理系统综合态势感知,并能保证较高的准确性和实时性。

In the face of the high proportion of renewable energy and multi-type energy equipment connected to the power grid,based on the integration of power information and physics,the comprehensive analysis method of the operation status of the power information physics system for reliability evaluation is studied,and the power information physics system driven by multi-energy data is proposed.First,considering the key factors that affect the system operating status in the power cyber-physical system,the system operating status classification for reliability evaluation in the power cyber-physical system is studied.Secondly,the disturbance of the key equipment of the power cyber-physical system under different operating conditions is studied.Based on the improved robust estimation algorithm,the identification method of the normal state,critical state,emergency state and recovery state of the power cyber-physical system is studied.On this basis,a data-driven comprehensive situation awareness model of the power cyber-physical system is established.The regional power grid operating data is used as an example to verify.The simulation results show that the proposed method can achieve comprehensive situational awareness of power cyber-physical systems with reliable identification as the goal,and can ensure high accuracy and real-time performance.