具有开关拓扑和规定性能的微电网非合作博弈复合电压调节

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Yuezhi Liu;Yong Chen;Longjie Zhang;Hongru Wang;Esam Hafez
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引用次数: 0

摘要

本文研究了具有开关拓扑、非线性耦合和规定性能的微电网的电压调节问题。首先,为了消除对全局拓扑信息的要求,设计了一个非合作博弈层,采用全分布纳什均衡寻求(FDNES)方法;在本研究中,非合作博弈是在交换通信拓扑上进行的。在此基础上,结合自适应耦合观测器(ACO)和基于规定性能的复合电压调节(PPCVR)方法,构建了电压调节层。具体来说,在蚁群算法中,设计了自适应观测器增益来衰减损伤峰动态。针对PPCVR,制定了基于规定性能函数的动态面控制策略,使电压跟踪误差在规定的约束条件下得到抑制,提高了电压调节性能。此外,PPCVR利用蚁群的耦合估计来补偿非线性耦合动力学。证明了闭环系统的信号是半全局一致最终有界的。最后,在RT-LAB平台上进行了对比研究和硬件在环实验,验证了所提出的电压调节策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Noncooperative Game-Based Composite Voltage Regulation for Microgrid With Switching Topologies and Prescribed Performance
In this paper, the voltage regulation issue of the microgrid with the switching topologies, nonlinear coupling and prescribed performance is investigated. Firstly, to remove the requirement of the global topology information, a noncooperative game layer with the fully distributed Nash equilibrium seeking (FDNES) approach is devised. In this study, the noncooperative game is performed over the switching communication topologies. Furthermore, the voltage regulation layer is formulated, which integrates the adaptive coupling observer (ACO) and prescribed performance based composite voltage regulation (PPCVR) methods. Specifically, in the ACO, an adaptive observer gain is devised to attenuate the damaging peak dynamics. For the PPCVR, the prescribed performance function based dynamic surface control strategy is formulated such that the voltage tracking error can be restrained according to the specified constraints, which will enhance the voltage regulation performance. Additionally, the PPCVR utilizes the coupling estimation by the ACO to compensate the nonlinear coupling dynamics. It is shown that the signals of the closed-loop system are semi-global uniformly and ultimately bounded (SGUUB). Finally, comparative studies and hardware-in-loop experiment by RT-LAB platform are performed to illustrate the effectiveness of the proposed voltage regulation strategy.
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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