摘要
随着“双碳”减碳目标的能源改革推进,综合能源系统得到了快速的发展,电-气耦合系统成为实现多能流能源交互运行的重要案例。然而,由于各子系统之间信息交互、响应时间与运行时间尺度之间存在较大差异,给能源管理系统的监测与状态感知能力带来严峻的挑战。考虑电、气子系统状态估计之间存在不同时间尺度问题,该文构建多时间切片统一的分段式状态估计模型,提出了基于奇异值分解的无迹卡尔曼滤波多能流系统动态状态估计算法。仿真算例验证了分段式状态估计策略的有效性,有效实现对电-气耦合系统的精准监控,并且估计结果具备更强的数值稳定性。
With the promotion of energy reform towards the"Dual Carbon"reduction target,the comprehensive energy system has been undergoing rapid development,and the electric pneumatic coupling system has become an important case for achieving multi energy flow energy interaction operation.However,due to significant differences in information exchange,response time,and operating time scales among various subsystems,the monitoring and state perception capabilities of energy management systems pose serious challenges.Considering the different time scales between the state estimation of electrical and pneumatic subsystems,this paper constructs a unified segmented state estimation model with multiple time slices and proposes a Kalman filter dynamic state estimation algorithm for multi energy flow systems based on singular value decomposition.The simulation examples have verified the effectiveness of the segmented state estimation strategy,effectively achieving precise monitoring of the electropneumatic coupling system,and the estimation results have stronger numerical stability.
作者
李伟康
马刚
高丛
孟宇翔
李天宇
LI Weikang;MA Gang;GAO Cong;MENG Yuxiang;LI Tianyu(School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210046,Jiangsu,China)
出处
《电网与清洁能源》
CSCD
北大核心
2023年第9期1-8,18,共9页
Power System and Clean Energy
基金
江苏省重点研发计划项目(BE2020081-4)。
关键词
电-气耦合系统
状态估计
多时间尺度
奇异值分解
无迹卡尔曼滤波
electric-gas coupling system
state estimation
multiple time scales
singular value decomposition
unscented Kalman filtering
