Equilibrium-Independent Stability Analysis for Distribution Systems With Lossy Transmission Lines

被引:3
作者
Cui, Wenqi [1 ]
Zhang, Baosen [1 ]
机构
[1] Univ Washington, Dept Elect & Comp Engn, Seattle, WA 98195 USA
来源
IEEE CONTROL SYSTEMS LETTERS | 2022年 / 6卷
基金
美国国家科学基金会;
关键词
Power system stability; Power transmission lines; Propagation losses; Stability criteria; Load flow; Asymptotic stability; Transmission line matrix methods; Stability analysis; distribution systems; lossy transmission lines;
D O I
10.1109/LCSYS.2022.3185027
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Power distribution systems are becoming much more active with increased penetration of distributed energy resources. Because of the intermittent nature of these resources, the stability of distribution systems under large disturbances and time-varying conditions is becoming a key issue in practical operations. Because the transmission lines in distribution systems are lossy, standard approaches in power system stability analysis do not readily apply. In this letter, the stability of lossy distribution systems is certified by breaking the network into subsystems. By looking at the equilibrium-independent passivity of each subsystem, the stability of the whole network is implied by the diagonal stability of the interconnection matrix. This analysis scales to large networked systems with time-varying equilibria. The proposed method gracefully extrapolates between lossless and lossy systems, and provides a simple yet effective approach to optimize control efforts with guaranteed stability regions. Case studies verify that the proposed method is much less conservative than existing approaches.
引用
收藏
页码:3349 / 3354
页数:6
相关论文
共 20 条
[1]   Algorithmic Construction of Lyapunov Functions for Power System Stability Analysis [J].
Anghel, Marian ;
Milano, Federico ;
Papachristodoulou, Antonis .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (09) :2533-2546
[2]  
[Anonymous], 2017, Power system dynamics and stability with synchrophasor measurement and power system toolbox
[3]  
Arcak M, 2016, SPRBRIEF ELECT, P1, DOI 10.1007/978-3-319-29928-0
[4]  
Chiang H.-D., 2011, Direct Methods of Stability Analysis of ELectric Power Systems-Theoretical Foundation, BCU Methodologies and Applications
[5]   STUDY OF THE EXISTENCE OF ENERGY FUNCTIONS FOR POWER-SYSTEMS WITH LOSSES [J].
CHIANG, HD .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS, 1989, 36 (11) :1423-1429
[6]  
Cui W., 2021, ARXIV200905654
[7]  
Cui W., 2022, ARXIV220304580
[8]   Lyapunov-Regularized Reinforcement Learning for Power System Transient Stability [J].
Cui, Wenqi ;
Zhang, Baosen .
IEEE CONTROL SYSTEMS LETTERS, 2022, 6 :974-979
[9]   Bregman Storage Functions for Microgrid Control [J].
De Persis, Claudio ;
Monshizadeh, Nima .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (01) :53-68
[10]  
De Persis C, 2016, IEEE DECIS CONTR P, P2595, DOI 10.1109/CDC.2016.7798653