Small-signal stability analysis of Energy Internet through differential inclusion theory

The Journal of Engineering

Lei Chen¹  Xiaohang Zhu²  Pan Hu³  Hongkun Chen⁴ 

[1] Central Southern China Electric Power Design Institute , Wuhan , People'Power System Center , State Grid Hubei Electric Power Research Institute , Wuhan , People'School of Electrical Engineering, Wuhan University , Wuhan , People's Republic of China

关键词: RES;    uncertainty excitation;    renewable energy sources;    stochastic time-varying system;    time-varying elements;    energy Internet;    polytopic linear differential inclusion model;    differential inclusion theory;    simplified small-signal model;    PLDI model;    nonsequence Monte Carlo method;    small-signal stability issue;    time-variant operation states;    inner stochastic excitation;    virtual synchronous generator control;    small-signal stability analysis;    stability criterion;   

DOI  :  10.1049/joe.2018.8340

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

In this study, small-signal stability issue associated with uncertainty excitation is investigated by using differential inclusion theory. Specifically, a polytopic linear differential inclusion (PLDI) model for Energy Internet is developed, in which a modified non-sequence Monte Carlo method is introduced to identify a series of time-variant operation states. Additionally, a simplified small-signal model of renewable energy sources (RES) with virtual synchronous generator control is proposed, and the outputs of RES are modelled as time-varying elements in PLDI model to reflect the inner stochastic excitation in the linearised matrix. The stability criterion for the stochastic time-varying system is mathematically deduced based on convex hull Lyapunov function. Simulation demonstrates the benefits of the proposed model in describing system stochastic characteristics and reducing computational burden.

【 授权许可】

CC BY