Article
Automation & Control Systems
Yue Sun, Chenghui Zhang, Daduan Zhao, Xiangyang Cao, Bo Sun, Ke Li, Yan Li
Summary: This paper presents an attack-resilient distributed adaptive secondary control method for battery energy storage systems in islanded AC microgrids. The proposed method ensures the consistency of frequency, active power, and state of charge of the storage systems in the presence of actuator attacks by using local and neighbor's information, dynamic control gains, and stability analysis.
Article
Engineering, Electrical & Electronic
Yuhua Du, Xiaonan Lu, Jianhui Wang, Bo Chen, Hao Tu, Srdjan Lukic
Summary: This article discusses dynamic MGs operation and reconfigurable C/P-networks in modern distribution systems to enhance system resilience and flexibility. An evaluation framework and distributed controllers are proposed to realize system topology variations and provide coordinated secondary regulation.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Green & Sustainable Science & Technology
Haoqin Zhan, Zhaobin Du, Xiaojie Liu, Feng Li
Summary: This paper addresses the problem of frequency and voltage restoration in islanded microgrids under false data injection attacks. A resilient distributed control protocol is proposed to mitigate the attacks, by developing an interaction network framework between the original communication network and the hidden network. Through graph theory and Lyapunov direct method, it is shown that the frequency and voltage of distributed generators can converge to a bounded and acceptable range despite the attacks. Simulation results in MATLAB/SIMULINK are presented to verify the effectiveness of the proposed method.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2023)
Article
Engineering, Electrical & Electronic
Yulin Chen, Donglian Qi, Hangning Dong, Chaoyong Li, Zhenming Li, Jianliang Zhang
Summary: A hidden layer based attack-resilient distributed cooperative control algorithm is proposed to address the problem of secondary control in islanded microgrids under FDI attacks. The controller shows good performance in resisting time dependent and state dependent FDI attacks, and is applicable even when all distributed generators and communications are compromised.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Xiaolei Li, Qianwen Xu, Frede Blaabjerg
Summary: This article investigates the adaptive resilient secondary voltage and frequency control problem for islanded ac microgrids in the presence of sensor faults and proposes a novel adaptive fault tolerant control scheme. The sufficient conditions are derived to guarantee the voltage tracking errors to be uniformly ultimately bounded and theoretically shows that frequency restoration and power sharing in the overall ac MG system can be ensured stable using the same control scheme. The problem of unknown boundaries sensor faults is more challenging compared to existing distributed control methods for secondary control of MG and still not well explored.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Pulkit Nahata, Alessio La Bella, Riccardo Scattolini, Giancarlo Ferrari-Trecate
Summary: Hierarchical control architecture is proposed for islanded dc microgrids, consisting of primary, secondary, and tertiary layers; primary layer includes decentralized voltage controllers attached to DGUs; secondary layer translates EMS power references into appropriate voltage signals required by the primary layer; tertiary layer is governed by an MPC-based energy management system (EMS), generating optimal power references and decision variables for DGUs.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
(2021)
Article
Engineering, Electrical & Electronic
Ali Jafarian Abianeh, Mohammad Mehdi Mardani, Farzad Ferdowsi, Raju Gottumukkala, Tomislav Dragicevic
Summary: In this article, a cyber-resilient consensus-based distributed control scheme is proposed for islanded ac microgrids. The proposed scheme combines multiobjective sliding-mode control and communication link quality observer to provide reliable performance against false data injection attacks. This approach aims to form a localized solution without the need for transmission of extra signals in the secondary layer, enhancing system reliability and dynamic performance.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Energy & Fuels
Zuliang Huang, Yan Li, Xin Cheng, Mingjun Ke
Summary: This paper proposes a distributed secondary control strategy for parallel battery energy units (BEUs) in a DC microgrid. The strategy consists of two layers: a primary control layer with droop control and a secondary control layer that generates a voltage-shifting term using an information state factor. A sigmoid function with a balancing adjustment factor is adopted to improve SOC balancing accuracy and speed. The proposed method reduces communication burden, avoids unnecessary cyclic charge or discharge, and achieves accurate current sharing and consistent output voltage.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Y. Wang, A. Oulis Rousis, D. Qiu, G. Strbac
Summary: This paper proposes a three-stage stochastic distributed control approach based on rolling optimization to enhance the resilience of networked microgrids with mobile energy storage systems. The approach captures the flexibility and uncertainties of the storage systems and achieves accurate optimization results. Case studies demonstrate the effectiveness of the proposed approach in accurate and timely decision-making considering load distinction, multiple line outages, and limited generation resources.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Sajeeb Saha, Sasan Gholami, Mohammad Kamruzzaman Khan Prince
Summary: This article proposes a sensor fault-resilient control approach for electronically interfaced distributed energy resources (DERs) in islanded microgrids. The proposed approach utilizes a sliding-mode observer (SMO) to estimate and utilize sensor faults in order to ensure the stability of the control strategy. The efficacy of the proposed approach is demonstrated through simulation studies and experimental validation.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Yu Wang, Chao Deng, Yun Liu, Zhongbao Wei
Summary: This paper proposes an adaptive control approach to ensure cyber-resilient control of islanded MG systems with distributed generators and energy storage systems. The proposed control compensates for bounded false data injection attacks on secondary controllers and tolerates certain denial-of-service attacks on communication links. The stability of the error systems is proven using dwell time technique and Lyapunov stability theory. The proposed control approach is validated in a 13-bus MG system with real-time tests under various cyber-attack scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Green & Sustainable Science & Technology
Hisham Mahmood, Frede Blaabjerg
Summary: This paper proposes an autonomous power management strategy for distributed energy storage units in islanded microgrids. The strategy coordinates with photovoltaic and droop controlled units to maintain power balance and offers controlled and selective prioritization of charging/discharging actions. The strategy employs adaptive piecewise P/f characteristics to enable seamless transition between power control and frequency regulation.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2022)
Article
Automation & Control Systems
Anuoluwapo O. Aluko, Remmy Musumpuka, David G. Dorrell
Summary: This article proposes a cyberattack-resilient scheme for secondary frequency control in a stand-alone microgrid system. The scheme accurately estimates the system states and maintains frequency stability under different cyberattack scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Energy & Fuels
Ensheng Zhao, Yang Han, Yuxiang Liu, Ping Yang, Congling Wang, Amr S. Zalhaf
Summary: This paper proposes a passivity enhancement control strategy based on damping injection and the corresponding parameter optimization design method to address the issue of resonance peaks and reduced stability margin caused by the filter in the voltage source inverter (VSI) with a filter in an islanded AC microgrid. The passivity-based controller ensures system stability under multiple load conditions and has strong robustness to external disturbances and parameter changes. The optimized design of damping injection coefficients also considers the effect of LC filter parameter drift. Simulation results confirm the effectiveness of the proposed strategy and parameter design.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Computer Science, Information Systems
Farhad Barati, Behzad Ahmadi, Ozan Keysan
Summary: This paper proposes a hierarchical control approach for SuperCapacitor (SC) energy storage and microsources in islanded DC microgrids. It takes into account microsources' dynamic and steady-state limitations by utilizing a proposed architecture for the SC's and microsources' interfaces with the DC bus. The approach is shown to be effective in regulating the DC bus voltage in a Low Voltage DC (LVDC) microgrid, with only a 5% deviation from the reference voltage and a recovery time of less than 1 sec.
Article
Automation & Control Systems
Chao Deng, Changyun Wen, Wei Wang, Xinyao Li, Dong Yue
Summary: This article investigates the consensus problem for high-order nonlinear multi-agent systems (MASs) with an uncertain leader under event-triggered communication. It introduces distributed intermediate parameter estimators based on event-triggered communication mechanism to estimate the unknown parameters of the uncertain leader. To ensure the existence of high-order derivatives, the estimators are modified by using the Hermite interpolation method. Moreover, novel high-order filters are proposed to generate local reference signals and ensure the existence of high-order derivatives of the filter states. A backstepping-based decentralized adaptive controller is developed based on the developed filters, and it is proved that consensus errors are asymptotically convergent with the developed method. Simulation examples are provided to demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Jie Zhang, Da-Wei Ding, Yanrong Lu, Chao Deng, Yingying Ren
Summary: This article studies the problem of output synchronization for multiagent systems with process faults and proposes a distributed fault-tolerant bipartite output synchronization control method.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Electrical & Electronic
Weitao Yao, Yu Wang, Yan Xu, Chaoyu Dong
Summary: Networked microgrid (NMG) system is an effective solution to improve power system reliability and resilience. The distributed control, with its high reliability, scalability, and low computational burden, is a promising approach for NMG. However, the heterogenous time delays in the information exchange among distributed generators and sub-microgrids can deteriorate system stability. This paper focuses on the small-signal stability analysis of a DC NMG with multiple time delays, and proposes a lead-lag compensation controller to enhance system stability.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Nan Zhou, Bei Han, Yan Xu, Lingen Luo, Gehao Sheng, Xiuchen Jiang
Summary: A novel method for fault locating and severity assessment in power distribution systems is proposed based on elasticity network mapping. By comparing the normalized distribution rate values, the fault location and severity can be accurately evaluated.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Automation & Control Systems
Pengfeng Lin, Chao Deng, Yongheng Yang, Christopher H. T. Lee, Wee Peng Tay
Summary: This article proposes a resilience control scheme to ensure the stable operation and recovery capability of cyber-physical hybrid energy storage systems (HESSs) under cyber attacks. By establishing communication links only among batteries and utilizing adaptive laws, the multifunctional HESS operations are achieved.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Yong-Sheng Ma, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article addresses the problem of distributed model-free adaptive control for learning nonlinear multiagent systems subjected to denial-of-service attacks. An improved dynamic linearization method is proposed to obtain an equivalent linear data model, and an attack compensation mechanism is developed to alleviate the influence of DoS attacks. A novel learning-based DMFAC algorithm is developed based on the equivalent linear data model and the attack compensation mechanism to resist DoS attacks, providing a unified framework to solve various control problems.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Automation & Control Systems
He Liu, Xiao-Jian Li, Chao Deng, Choon Ki Ahn
Summary: This study investigates the problem of fault estimation and control for unknown discrete-time systems. A data-driven parameterization controller design method is proposed to optimize both fault estimation and robust control performances.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Lili Zhang, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article investigates the prescribed performance security control problem for nonlinear systems subject to denial-of-service attacks. A security tracking control method is proposed using an attack compensator and a fuzzy estimator to steer the tracking errors to a predetermined neighborhood within a predefined settling time.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Civil
Xingshuo Hai, Huaxin Qiu, Changyun Wen, Qiang Feng
Summary: This paper presents a novel approach to address the problem of distributed situation awareness consensus for unmanned aerial vehicle swarm systems. Due to the complexity and antagonism of the mission environment, traditional centralized architectures fail to achieve distributed consensus. To tackle this issue, a systematic distributed SA consensus scheme is proposed, including a distributed optimization-based consensus reaching model, dual-loop decision-making framework, and novel coordination algorithm. Convergence analysis is conducted on the proposed algorithm, and comparative simulations confirm the effectiveness and superiority of the proposed method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Automation & Control Systems
Chenliang Wang, Lei Guo, Changyun Wen, Yukai Zhu, Jianzhong Qiao
Summary: This article proposes new adaptive anti-disturbance control schemes for uncertain nonlinear systems with composite disturbances, including additive disturbances, multiplicative actuator faults, and implicit disturbances deeply coupled with system states. Both the cases with known and unknown control/fault directions are investigated. By properly fusing the techniques of disturbance observers and adaptive compensation, it is shown that all closed-loop signals are globally uniformly bounded and the tracking error converges to zero asymptotically, no matter the control/fault directions are known or not. In the case of known directions, the proposed control scheme guarantees asymptotic tracking and L$_{\infty}$ tracking performance simultaneously in face of disturbances and actuator faults. Moreover, novel Nussbaum functions and a contradiction argument are introduced, allowing the system to have multiple unknown nonidentical control directions and unknown time-varying fault direction. Simulation results illustrate the effectiveness of the proposed control schemes.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Zongcheng Liu, Jiangshuai Huang, Changyun Wen, Xiaojie Su
Summary: In this article, the distributed control of uncertain multiagent systems (MAS) with unknown nonlinearities, time-varying control coefficients, and multiple control directions is investigated. A new theorem with novel Nussbaum functions is presented to solve the problem of controlling nonlinear systems with unknown time-varying control coefficients and signs. The global consensus of MAS with unknown time-varying control coefficients and system nonlinearities under a directed graph is achieved, and the transient tracking performance is guaranteed. A novel filter is proposed for each agent that does not require prior knowledge of the time derivative of the leader. Simulation results demonstrate the effectiveness of the proposed control schemes.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Zhen Gao, Yongduan Song, Changyun Wen
Summary: In this work, a neuroadaptive PI control scheme is developed for challenging MIMO nonlinear systems with uncertain models and actuation faults. By integrating filtered variables into the design process, the proposed control achieves asymptotic tracking, adjustable rate of convergence, and bounded performance. It is applicable to various MIMO systems with unknown and time-varying control gain matrices, and remains robust against uncertainties, adaptive to unknown parameters, and tolerant to actuation faults with only one online updating parameter.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Xinyao Li, Ying Zou, Chao Deng
Summary: This work explores the development of a backstepping-based adaptive control method for nonlinear fractional-order systems with systematic uncertainties, time-varying external disturbances, and quantized control input. A novel analog chain rule computation method is proposed to handle the fractional derivatives of composite functions encountered in the backstepping procedure. A quantified adaptive controller is designed to guarantee system stability and convergence of the tracking error using the direct fractional Lyapunov method. Simulated studies confirm the effectiveness of the control strategy.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Zhen Gao, Yongduan Song, Changyun Wen, Frank L. Lewis
Summary: This paper investigates the problem of reliable control for nonlinear systems with uncertainties and abnormal sensoring and actuating units. By using an adaptive control solution and a strategy of backup actuators, the system can achieve stable operation even under sensor failures and malicious attacks.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Civil
Yong-Sheng Ma, Wei-Wei Che, Chao Deng, Zheng-Guang Wu
Summary: This article investigates the problem of data-driven distributed vehicle platoon control for heterogeneous nonlinear vehicle systems. The systems are transformed into linear data models using the increment form, and a novel data-driven distributed cooperative controller is proposed to achieve the platoon control objective. The stability analysis problem is converted into a feasibility problem using the linear matrix inequality technique. The main advantage of the proposed control algorithm is its reliance on only the position and speed information of neighboring vehicles, without requiring any pre-training process. Simulation results demonstrate the effectiveness of the devised control algorithm through comparisons.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
