Bregman Storage Functions for Microgrid Control

被引:55
作者
De Persis, Claudio [1 ]
Monshizadeh, Nima [2 ]
机构
[1] Univ Groningen, Engn & Technol Inst ENTEG, JC Willems Ctr Syst & Control, NL-9712 CP Groningen, Netherlands
[2] Univ Cambridge, Elect Engn Div, Cambridge CB2 1TN, England
关键词
Lyapunov methods; microgrids; nonlinear circuits; passivity; stability analysis; DISSIPATIVE DYNAMICAL-SYSTEMS; MULTIMACHINE POWER-SYSTEMS; INVERTER-BASED MICROGRIDS; TRANSIENT STABILITY; KURAMOTO OSCILLATORS; VOLTAGE STABILITY; ENERGY FUNCTIONS; NETWORKS; SYNCHRONIZATION; STABILIZATION;
D O I
10.1109/TAC.2017.2709246
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we contribute a theoretical framework that sheds a new light on the problem of microgrid analysis and control. The starting point is an energy function comprising the "kinetic" energy associated with the elements that emulate the rotating machinery and terms taking into account the reactive power stored in the lines and dissipated on shunt elements. We then shape this energy function with the addition of an adjustable voltage-dependent term, and construct so-called Bregman storage functions satisfying suitable dissipation inequalities. Our choice of the voltage-dependent term depends on the voltage dynamics under investigation. Several microgrid controllers that have similarities or coincide with dynamics already considered in the literature are captured in our incremental energy analysis framework. The twist with respect to existing results is that our incremental storage functions allow for a large signal analysis of the coupled microgrid. This obviates the need for simplifying linearization techniques, and for the restrictive decoupling assumption in which the frequency dynamics is fully separated from the voltage one. A complete Lyapunov stability analysis of the various systems is carried out along with a discussion on their active and reactive power sharing properties.
引用
收藏
页码:53 / 68
页数:16
相关论文
共 63 条
[1]   Stabilization of distributed systems using irreversible thermodynamics [J].
Alonso, AA ;
Ydstie, BE .
AUTOMATICA, 2001, 37 (11) :1739-1755
[2]  
Andreasson M, 2014, P AMER CONTR CONF, P3183, DOI 10.1109/ACC.2014.6858999
[3]  
[Anonymous], 2008, Nonlinear dynamical systems and control: A Lyapunov-based approach
[4]  
[Anonymous], 2007, IEEE T POWER ELECT
[5]  
[Anonymous], 2010, COLT
[6]  
[Anonymous], 1997, Parallel Optimization: Theory, Algorithms, and Applications
[7]  
Banerjee A, 2005, J MACH LEARN RES, V6, P1705
[8]   Distributed Control Systems for Small-Scale Power Networks USING MULTIAGENT COOPERATIVE CONTROL THEORY [J].
Bidram, Ali ;
Lewis, Frank L. ;
Davoudi, Ali .
IEEE CONTROL SYSTEMS MAGAZINE, 2014, 34 (06) :56-77
[9]   A Distributed Control Strategy for Reactive Power Compensation in Smart Microgrids [J].
Bolognani, Saverio ;
Zampieri, Sandro .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2013, 58 (11) :2818-2833
[10]  
Bouattour H, 2013, IEEE DECIS CONTR P, P1514, DOI 10.1109/CDC.2013.6760097