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Resilient Fixed-Order Distributed Dynamic Output Feedback Load Frequency Control Design for Interconnected Multi-Area Power Systems

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IEEE/CAA Journal of Automatica Sinica 2019年第5期6卷 1139-1151页

作者： Ali Azarbahram Amir Amini Mahdi Sojoodi the Department of electrical and computer engineering Ferdowsi University of MashhadMashhadIran the Department of electrical and computer engineering Concordia UniversityMontrealQCCanada the Faculty of electrical and computer engineering Tarbiat Modares UniversityTehran14115-143Iran

The paper proposes a novel H∞ load frequency control(LFC) design method for multi-area power systems based on an integral-based non-fragile distributed fixed-order dynamic output feedback(DOF) tracking-regulator control scheme. To this end, we consider a nonlinear interconnected model for multiarea power systems which also include uncertainties and timevarying communication delays. The design procedure is formulated using semi-definite programming and linear matrix inequality(LMI) method. The solution of the proposed LMIs returns necessary parameters for the tracking controllers such that the impact of model uncertainty and load disturbances are minimized. The proposed controllers are capable of receiving all or part of subsystems information, whereas the outputs of each controller are local. These controllers are designed such that the resilient stability of the overall closed-loop system is guaranteed. Simulation results are provided to verify the effectiveness of the proposed scheme. Simulation results quantify that the distributed(and decentralized) controlled system behaves well in presence of large parameter perturbations and random disturbances on the power system.

关键词： Dynamic output feedback control interconnected multi-area power systems load frequency control linear matrix inequalities power system control

Low-cost fault tolerance in evolvable multiprocessor systems:a graceful degradation approach

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Journal of Zhejiang University-Science A(Applied Physics & engineering) 2009年第6期10卷 922-926页

作者： Shervin VAKILI Sied Mehdi FAKHRAIE Siamak MOHAMMADI Ali AHMADI School of electrical and computer engineering University of Tehran

The evolvable multiprocessor (EvoMP), as a novel multiprocessor system-on-chip (MPSoC) machine with evolvable task decomposition and scheduling, claims a major feature of low-cost and efficient fault tolerance. Non-centralized control and adaptive distribution of the program among the available processors are two major capabilities of this platform, which remarkably help to achieve an efficient fault tolerance scheme. This letter presents the operational as well as architectural details of this fault tolerance scheme. In this method, when a processor becomes faulty, it will be eliminated of contribution in program execution in remaining run-time. This method also utilizes dynamic rescheduling capability of the system to achieve the maximum possible efficiency after processor reduction. The results confirm the efficiency and remarkable advantages of the proposed approach over common redundancy based techniques in similar systems.

关键词： Fault tolerance Multiprocessor system-on-chip (MPSoC) Genetic algorithm (GA) Adaptive task scheduling

Subwavelength grating devices in silicon photonics

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Science Bulletin 2016年第11期61卷 879-888页

作者： Junjia Wang Ivan Glesk Lawrence R.Chen Department of electrical and computer engineering Mc Gill University Department of Electronic and electrical engineering University of Strathclyde

Subwavelength grating(SWG) waveguides in silicon-on-insulator are emerging as an enabling technology for implementing compact, high-performance photonic integrated devices and circuits for signal processing and sensing applications. We provide an overview of our recent work on developing wavelength selective SWG waveguide filters based on Bragg gratings and ring resonators, as well as optical delay lines. These components increase the SWG waveguide component toolbox and can be used to realize more complex photonic integrated circuits with enhanced or new functionality.

关键词： Subwavelength gratings Siliconphotonics Integrated optics - Bragg gratings Ringresonators Optical delay lines

Economical Optimization of Grid Power Factor Using Predictive Data

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 258-267页

作者： Chaojiong Huang Jason Gu Haiying Liu Yuansheng Lu Jun Luo IEEE the School of electrical engineering and Automation Shanghai University the Department of electrical and computer engineering Dalhousie University

We present an electrical grid optimization method for economical benefit. After simplifying an IEEE feeder diagram, we build a compact smart grid system including a photovoltaic-inverter system, a shunt capacitor, an on-load tapchanger(OLTC) and transmission lines. The system power factor(PF) regulation and reactive power dispatching are indispensable to improve power quality. Our control method uses predictive weather and load data to decide engaging or tripping the shunt capacitor, or reactive power injection by the photovoltaic-inverter system, ultimately to keep the system PF in a good range. From the perspective of economics, the economical model is considered as a decision maker in our predictive data control ***-only control strategy is a common photovoltaic(PV)regulation method, which is treated as a baseline case. Simulations with GridLAB-D on profiled loads and residential loads have been carried out. The comparison results with baseline control strategy and our predictive data control method show the appreciable economical benefit of our method.

关键词： Grid optimization GridLAB-D inverter power factor predictive data control shunt capacitor

The opportunistic relaying scheme design and symbol error rate analysis for PLC networks in smart homes

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Science China(Information Sciences) 2021年第8期64卷 250-252页

作者： Linlin SUN Jiahui YAN Yuwen QIAN Feng SHU Xiangwei ZHOU The School of Electronic and Optical engineering Nanjing University of Science and Technology The division of electrical and computer engineering Louisiana State University

Dear editor,Power line communication(PLC) is treated as a retrofit technology, transmitting messages via conductors without extra infrastructure, which reduces the cost of implementation and maintenance [1]. Therefore, PLC is extensively adopted in smart grid applications. However, PLC encounters a hostile communication environment caused by the fast signal attenuation and severe impulsive noise [2].

关键词： SER The opportunistic relaying scheme design and symbol error rate analysis for PLC networks in smart homes

Neural connectivity inference with spike-timing dependent plasticity network

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Science China(Information Sciences) 2021年第6期64卷 70-79页

作者： John MOON Yuting WU Xiaojian ZHU Wei D.LU Department of electrical engineering and computer Science University of Michigan

Knowing the connectivity patterns in neural circuitry is essential to understand the operating mechanism of the brain, as it allows the analysis of how neural signals are processed and flown through the neural system. With the recent advances in neural recording technologies in terms of channel size and time resolution, a simple and efficient system to perform neural connectivity inference is highly desired, which will enable the process of high dimensional neural activity recording data and reduction of the computational time and cost. In this work, we show that the spike-timing dependent plasticity(STDP) algorithm can be used to reconstruct neural connectivity patterns in a biological neural network, with higher accuracy and efficiency than statistic-based inference methods. The biologically inspired STDP learning rules are natively implemented in a second-order memristor network and are used to estimate the type and the direction of neural connections. When stimulated by the recorded neural spike trains, the memristor device conductance is modulated by the proposed STDP learning rules, which in turn reflects the correlation of the spikes and the possibility of neural connections. By compensating for the different levels of neural activity, highly reliable inference performance can be achieved. The proposed approach offers real-time and local learning, resulting in reduced computational cost/time and strong tolerance to variations of the neural system.

关键词： spike-timing dependent plasticity neural connectivity memristor online learning second-order memristor

Dynamic games for secure and resilient control system design

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National Science Review 2020年第7期7卷 1125-1141页

作者： Yunhan Huang Juntao Chen Linan Huang Quanyan Zhu Department of electrical and computer engineering New York University

Modern control systems are featured by their hierarchical structure composed of cyber, physical and human layers. The intricate dependencies among multiple layers and units of modern control systems require an integrated framework to address cross-layer design issues related to security and resilience *** this end, game theory provides a bottom-up modeling paradigm to capture the strategic interactions among multiple components of the complex system and enables a holistic view to understand and design cyber-physical-human control systems. In this review, we first provide a multi-layer perspective toward increasingly complex and integrated control systems and then introduce several variants of dynamic games for modeling different layers of control systems. We present game-theoretic methods for understanding the fundamental tradeoffs of robustness, security and resilience and developing a cross-layer approach to enhance the system performance in various adversarial environments. This review also includes three quintessential research problems that represent three research directions where dynamic game approaches can bridge between multiple research areas and make significant contributions to the design of modern control systems. The paper is concluded with a discussion on emerging areas of research that crosscut dynamic games and control systems.

关键词： dynamic games robustness security resilience cyber-physical system complex systems

Selective excitation of resonances in gammadion metamaterials for terahertz wave manipulation

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Science China(Physics,Mechanics & Astronomy) 2015年第8期58卷 43-48页

作者： WANG DaCheng HUANG Qin QIU ChengWei HONG MingHui Department of electrical and computer engineering National University of Singapore

A gammadion terahertz(THz) metamaterial embedded with a pair of splits is experimentally investigated. By introducing the pair of splits at different arms, the transmitted amplitude at the resonance frequency can be manipulated from 61% to 24%. Broadband static resonance tunability from 1.11 to 1.51 THz is also demonstrated via varying the relative split positions at certain arms. The amplitude change and static resonance tunability are attributed to the introduced split pairs, which enable selective excitation of different resonance modes in the gammadion metamaterials. This work promises a new approach to design THz functional devices.

关键词： terahertz gammadion metamaterials transmission

MODELING AND FORECASTING OF STOCK MARKETS UNDER A SYSTEM ADAPTATION FRAMEWORK

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Journal of Systems Science & Complexity 2012年第4期25卷 641-674页

作者： Xiaolian ZHENG Ben M.CHEN The Department of electrical & computer engineering The National University of Singapore

This paper adopts the concept of dynamic feedback systems to model the behavior of financial markets, or more specifically, the stock market from a dynamic system point of view. Based on a feedback adaptation scheme, the authors model the movement of a stock market index within a framework that is composed of an internal dynamic model and an adaptive filter. The output-error model is adopted as the internal model whereas the adaptive filter is a time-varying state space model with instrumental variables. Its input-output behavior, and internal as well as external forces are then identified. Special attention has also been paid to the recent financial crisis by examining the movement of Dow Jones Industrial Average （DJIA） as an example to illustrate the advantage of the proposed framework. Supported by time-varying causality tests, five influential factors from economic and sentiment aspects are introduced as the input of this framework. Testing results show that the proposed framework has a much better prediction performance than the existing methods, especially in complicated economic situations. An application of this framework is also presented with focuses on forecasting the turning periods of the market trend. Realizing that a market trend is about to change when the external force begins to exhibit clear patterns in its frequency responses, the authors develop a set of rules to recognize this kind of clear patterns. These rules work well for stock indexes from US, China and Singapore.

关键词： Complex systems financial modeling financial systems market forecasting system economics.