基于广义状态空间平均的独立电力系统建模方法  

Modeling method of isolated power system based on generalized state space averaging

作　　者：杨占刚[1] 吴惠东[1] 屈俊超 车延博[2] 

机构地区：[1]中国民航大学电子信息与自动化学院,天津300300 [2]天津大学智能电网教育部重点实验室,天津300072

出　　处：《电工电能新技术》2016年第12期12-19,共8页Advanced Technology of Electrical Engineering and Energy

基　　金：国家自然科学基金项目(51407185;U1533126);中国民航大学实验技术创新基金项目(17-14-03);中国民航大学科研启动基金项目(2011-QD02X)

摘　　要：针对由各类电力电子装置构成的独立电力系统应用日趋普及的现状,为对不同运行工况下独立电力系统进行描述,提出一种基于广义状态空间平均的独立电力系统建模方法。通过将独立电力系统时变非线性微分方程状态变量用傅里叶系数描述,得到独立电力系统的广义状态空间平均模型;依据独立电力系统的不同运行工况,分析其不同时间尺度的动态特性,并通过傅里叶系数的增减实现微电网的广义状态空间平均模型化简。该建模方法能甄别独立电力系统的运行工况及动态特性,在系统分析和设计中可代替时域模型,在稳态时可简化为状态空间平均模型。仿真结果表明该模型具有良好的精度和快速的分析能力,适用于独立电力系统的稳态、暂态分析领域。The isolated power system is a fast developing trend with the widely used power electronics. In order to investigate the overall system performance under normal and abnormal scenarios, the generalized state space averaging modeling method was proposed. Through replacing the state variables of the isolated power system time-variant nonlinear differential equations with their complex Fourier coefficients over a desired time interval, the generalized state space averaged model of isolated power systems was built. Depending on the different operating conditions, the dynamic characteristics of the isolated power system on different time scales were analyzed, and the simplified generalized state space averaging model was achieved by increasing or decreasing the order of Fourier coefficients. This modeling method can identify the isolated power system operating conditions and the dynamic characteristics. It can be used as time-domain model in systems analysis and design, and also it can be used as state-space model in steady state analysis. It is demonstrated that the generalized state space averaging model of the isolated power system can be used to the steady and transient analysis of different isolated power system with high simulation speed and good accuracy.

关 键 词：独立电力系统 广义状态空间平均 动态特性 傅里叶系数 

分 类 号：V242.3[航空宇航科学与技术—飞行器设计]