Article
Energy & Fuels
Hui Hwang Goh, Jiahui Kang, Dongdong Zhang, Hui Liu, Wei Dai, Tonni Agustiono Kurniawan, Kai Chen Goh
Summary: This study addresses the issue of pulsed power loads in DC microgrids by applying the Takagi-Sugeno (TS) model and providing a nonlinear power observer. The results show that the TS-MPC approach with adjusted pulsed power loads effectively shares power and regulates bus voltage under various load conditions, while greatly reducing the detrimental impacts of the pulse load.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
Article
Automation & Control Systems
Artit Visavakitcharoen, Wudhichai Assawinchaichote, Yan Shi, Chrissanthi Angeli
Summary: This manuscript proposes a fuzzy integral controller with an event-triggered strategy for a class of nonlinear continuous singularly perturbed systems. The proposed method utilizes the Takagi-Sugeno fuzzy model, integral feedback, and event-triggered mechanism to manipulate the effects of the parasitic parameter and achieves similar performance to conventional controllers with less steady-state error and fewer events. Examples of electrical engineering problems are presented to demonstrate the effectiveness of the proposed method.
Article
Engineering, Electrical & Electronic
Haidar Samet, Saeedeh Ketabipour, Navid Vafamand
Summary: This paper proposes a novel fuzzy one-step-ahead prediction approach for wind farm reactive power to enhance system performance and mitigate voltage flicker. By simulating with actual data from a wind farm in Manjil, Iran, the results demonstrate the effectiveness of the proposed prediction method.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Teofilo P. G. Mendes, Leizer Schnitman, Idelfonso Bessa dos Reis Nogueira, Ana Mafalda Almeida Peixoto Ribeiro, Alirio Egidio Rodrigues, Jose Miguel Loureiro, Marcio A. F. Martins
Summary: This manuscript presents a new fuzzy approach applied to Model Predictive Control (MPC). The first contribution of this work is a modification in the Takagi-Sugeno-Kang (TSK) structure that allows modeling IF-THEN rules without approximation. The second contribution is a new MPC formulation that guarantees system stability by combining optimization, state-space model, and terminal constraints. These methods were implemented on a Programmable Logic Controller and applied to control a physical DC motor.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Automation & Control Systems
Basil Mohammed Al-Hadithi, Jose Miguel Adanez, Mayra Comina, Agustin Jimenez
Summary: In this work, a fuzzy predictive optimal control method is proposed for multivariable nonlinear systems with pure time delays. The method uses dynamic local linear state models obtained from fuzzy Takagi-Sugeno (T-S) modeling and observes the state using the Kalman Filter (KF). Compared to traditional Model Predictive Control (MPC) methods, the proposed approach calculates the control signal increment based on the error between a reference state vector and the prediction at N-steps of the state vector, resulting in computational savings and suitability for real-time applications.
IET CONTROL THEORY AND APPLICATIONS
(2022)
Article
Engineering, Aerospace
Sohaib Aslam, Yew-Chung Chak, Mujtaba Hussain Jaffery, Renuganth Varatharajoo, Ejaz Ahmad Ansari
Summary: This study presents a combined energy and attitude control system (CEACS) utilizing flywheels for energy storage and attitude control. The fuzzy-model predictive controller is used to regulate the CEACS attitude, considering both linear and nonlinear initial angles and actuator constraints. The results validate that the fuzzy-model predictive controller achieves the desired pointing accuracy and reduces control torques and energy consumption.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Oswaldo Andres-Martinez, Antonio Flores-Tlacuahuac, Omar F. Ruiz-Martinez, Jonathan C. Mayo-Maldonado
Summary: This article presents a model predictive control based on an average model of a boost converter for stabilizing dc-dc converters feeding constant power loads. The optimal control law is obtained by solving a multiparametric nonlinear programming problem over a simplex partition of the state space. The control performance is validated through simulation and experimental studies, also featuring robustness against abrupt changes in input voltage and load.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Computer Science, Artificial Intelligence
Souhail Tiko, Fouad Mesquine
Summary: This article investigates the handling of control constraints in the controller design phase for a certain type of Takagi-Sugeno fuzzy systems. The use of a Line integral Lyapunov function (LILF) reduces conservatism in comparison to other types of Lyapunov functions. Two cases, unsaturating and saturating control, are studied. Inclusion conditions are set to guarantee desired behavior in the absence of control constraint violations. The proposed approach is shown to be effective through comparisons with other methods.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Sergio E. Samada, Vicenc Puig, Fatiha Nejjari
Summary: This work addresses the trajectory tracking problem of an autonomous racing electrical vehicle and proposes a two-layer control scheme to guarantee stability, recursive feasibility, and constraint satisfaction. The outer layer uses a zonotopic tube-based predictive control to ensure trajectory tracking while minimizing energy consumption. The inner layer combines a linear quadratic zonotopic controller with a zonotopic Kalman filter to reduce the effect of exogenous disturbances and modeling errors. Additionally, a data-driven Takagi-Sugeno (TS) model trained by an adaptive neuro-fuzzy inference system (ANFIS) is employed for control and estimation purposes. The performance of the proposed control scheme is illustrated using a simulated 1/10 Scale RC car.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Engineering, Electrical & Electronic
Daeseong Park, Mehdi Zadeh
Summary: The article addresses the stability issue of hybrid dc power systems on ships and proposes a predictive control approach to enhance voltage regulation and optimize converter usage. The control strategy is compared with conventional controllers using both simulation and laboratory experimental data, showing significant advantages in terms of fast and stable control performance and steady-state voltage regulation.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2021)
Article
Computer Science, Artificial Intelligence
Weidong Zou, Yuanqing Xia, Li Dai
Summary: This article introduces a novel model of fuzzy broad learning system based on accelerating amount, aiming to improve the testing accuracy of fuzzy broad learning system.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Jinsong He, Changyun Wen, Xin Zhang
Summary: The article proposes a composite-bisection predictive control (CB-PC) method to simultaneously achieve DC-link voltage stabilization and load voltage control in an electrified shipboard power system. It stabilizes DC-link voltage oscillation using an improved general method based on instantaneous power theory and enhances transient response with deadbeat control. Load voltage control is achieved indirectly through tracking an offline-derived inductor-current vector, and a modified bisection algorithm with a tunable iteration number is presented to improve steady-state control performance. Simulation and experiments confirm the effectiveness and robustness of the approach against parametric variations.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Article
Automation & Control Systems
Meysam Gheisarnejad, Ardashir Mohammadzadeh, Mohammad-Hassan Khooban
Summary: This article proposes a novel control methodology, namely interval type-III fuzzy neural network-based model predictive control (IT3FNNMPC), to overcome the instability issue of power electronic devices supplying constant power loads (CPL), and mitigate their destructive effects on microgrids and power system distribution.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Yueying Wang, Choon Ki Ahn, Huaicheng Yan, Shaorong Xie
Summary: This article addresses the H-infinity control and filtering problems for Markov jump singularly perturbed systems approximated by Takagi-Sugeno fuzzy models. The mode- and variation-dependent fuzzy static output feedback controller and filter are designed, respectively, to fulfill the control and filtering purposes.
IEEE TRANSACTIONS ON CYBERNETICS
(2021)
Article
Automation & Control Systems
Jun Hou, Ziyou Song, Heath F. Hofmann, Jing Sun
Summary: This article investigates a battery/flywheel hybrid energy storage system to mitigate load fluctuations in a shipboard microgrid. Two control strategies are proposed and case studies in various sea conditions demonstrate the superior performance of the new control strategies in power fluctuation mitigation and HESS power-loss reduction. A comparison between the two approaches quantifies their performances, analyzes their advantages and disadvantages, and highlights the most suitable scenarios for each strategy.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Oleksandr Husev, Dmitri Vinnikov, Samir Kouro, Frede Blaabjerg, Carlos Roncero-Clemente
Summary: We propose a new concept of a dual-purpose power converter for both dc and ac grids. These universal dc-dc/ac power electronic interfaces can be used in both dc and single-phase or three-phase ac grids with the same terminals. By utilizing the same semiconductors and passive components in different configurations, we aim to maximize their effectiveness in any mode with minimal additional components. We discuss possible realizations and challenges of simultaneously applying dc and ac grids.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE
(2023)
Article
Engineering, Multidisciplinary
Navid Vafamand, Mohammad Mehdi Arefi, Miadreza Shafie-Khah, Joao P. S. Catalao
Summary: This article investigates the problem of estimating actuator fault and states and controlling the bus voltage in direct current microgrids (DC MGs) with linear and nonlinear constant power loads (CPLs). To solve this issue, a dual-extended Kalman filter (dual-EKF) is suggested for the fault and state estimation. For the control purpose, a linear parameter varying (LPV) model predictive control (MPC) is suggested to regulate the current and voltage of the DC MG.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Chaochao Song, Ariya Sangwongwanich, Yongheng Yang, Frede Blaabjerg
Summary: This paper presents a model-free voltage balancing scheme based on a fixed-switching-state method in neutral-point-clamped based dual-active-bridge converters. The proposed method employs two switching states to simplify the voltage balancing process without the need for precalculation of transformer current polarity. Additionally, the model-free feature of the method makes it more robust against parameter variations or operating mode changes.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Jacky Chun-Tak Lai, Henry Shu-Hung Chung, Yuanbin He, Weimin Wu, Frede Blaabjerg
Summary: A wideband series harmonic voltage compensator (WSHVC) is proposed for microgrids with multiple grid-connected inverters (GCIs), with an operating bandwidth of 10 kHz. The WSHVC generates a compensating voltage to counter high-frequency harmonic voltage at the point of common coupling (PCC), resulting in a nearly zero high-frequency impedance at the aggregate output of the GCIs and improving system stability. The WSHVC predicts its state trajectory to determine the moment of switch state changes, extracts the PCC impedance and GCI network impedance through system response analysis, and monitors the condition of passive components using sampled state variables. Experimental results on a 6.5 kVA testbed demonstrate favorable comparison with theoretical predictions.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Hossein Khoun Jahan, Mehdi Abapour, Kazem Zare, Seyed Hossein Hosseini, Frede Blaabjerg, Yongheng Yang
Summary: This paper proposes a switched-capacitor (SC)-based cascaded half-bridge multilevel inverter to address the issues of the cascaded H-bridge multilevel inverter (CMI) in photovoltaic (PV) applications. The proposed topology only requires one dc source and achieves the minimum number of switches, spontaneous capacitor charging, voltage boosting, and continuous input current. The feasibility and effectiveness of the proposed topology are validated through simulations and experimental tests.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Abd Alelah Derbas, Arman Oshnoei, Maher A. A. Azzouz, Ahmed S. A. Awad, Frede Blaabjerg, Amjad Anvari-Moghaddam
Summary: This article proposes an adaptive active control approach for damping the low-frequency oscillations in a dc microgrid (DC-MG). The DC-MG is comprised of hybrid power sources (HPSs) formed by a parallel set of supercapacitor modules and photovoltaic systems. The HPS controller includes a multiloop voltage controller for adjusting the DC-MG voltage and a virtual impedance loop for damping current oscillations.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2023)
Article
Computer Science, Information Systems
Tianyang Zhao, Xiong Liu, Peng Wang, Frede Blaabjerg
Summary: This article proposes a two-stage stochastic unit commitment problem to improve the operational efficiency of networked hybrid ac/dc microgrids. The nonlinear power losses of converters are modeled as multivariate nonlinear functions, and linear surrogate models are used to approximate these functions. The dynamic optimal power flow problem is embedded as mixed-integer recourse, and a finite iteration convergent Benders decomposition algorithm is used to solve the problem.
IEEE SYSTEMS JOURNAL
(2023)
Article
Engineering, Multidisciplinary
Roozbeh Abolpour, Khashayar Torabi, Maryam Dehghani, Navid Vafamand, Mohammad Sadegh Javadi, Fei Wang, Joao P. S. Catalao
Summary: This article addresses the problem of frequency regulation of a single-area power system connected to an electric vehicle aggregator over a non-ideal communication network. An innovative algorithm called direct search is employed for the time-delayed system to design the unknown parameters of a pre-assumed controller. The performance of the developed controller is demonstrated through numerical simulations compared to the state-of-the-art approach.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Frede Blaabjerg, Yongheng Yang, Katherine A. Kim, Jose Rodriguez
Summary: Grid integration of renewable energy requires efficient and reliable power converters supported by advanced control and information technologies. This article presents the use of power electronics converters in large-scale renewable energy generation, discussing technical issues and requirements with a focus on grid-connected wind, solar photovoltaic, and energy storage systems. The core control for individual power converters and system-level operation are briefly discussed. Future research perspectives to advance large-scale renewable energy generation using power electronics systems are presented.
PROCEEDINGS OF THE IEEE
(2023)
Article
Automation & Control Systems
Mohammad Sadegh Orfi Yeganeh, Arman Oshnoei, Nenad Mijatovic, Tomislav Dragicevic, Frede Blaabjerg
Summary: This article proposes a distributed intelligent secondary control approach for power electronic-based ac microgrid using brain emotional learning-based intelligent controller (BELBIC). The BELBIC controller is capable of quickly learning and handling the complexity, nonlinearity, and uncertainty of the microgrid. It is fully model-free, regulating voltage amplitude and frequency deviations without prior knowledge of the system model and parameters. The proposed approach ensures low steady-state variations with higher bandwidth and accurate power-sharing through the droop mechanism. Additionally, primary control is achieved using robust finite control set-model predictive control and droop control to optimize the system's frequency bandwidth and power-sharing among distributed generations. Experimental tests conducted on a hardware-in-the-loop testbed validate the effectiveness of the proposed control strategy for various scenarios.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Yuanhong Tang, Weihao Hu, Di Cao, Nie Hou, Zhuoqiang Li, Yun Wei Li, Zhe Chen, Frede Blaabjerg
Summary: This article proposes an improvement approach for the dual-active-bridge converter using a variable-frequency triple-phase-shift control strategy with the help of deep reinforcement learning. The twin delayed deep deterministic policy gradient algorithm is adopted to train the agent offline, aiming to minimize power losses under varying switching frequencies. The training of the algorithm incorporates zero-voltage switching performance. Based on this, the trained agent acts as a fast surrogate predictor, generating appropriate control strategies in real-time for continuous operation with soft switching and maximum conversion efficiency. The effectiveness and correctness of the proposed scheme are validated through experimental results in a laboratory prototype.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Qiang Yu, Fujin Deng, Yi Tang, Yanbo Wang, Frede Blaabjerg
Summary: This paper proposes an additional-levels-based control method to improve the dc-link current ripple for three-phase modular multilevel converters. It employs conventional modulation to generate ac-side voltage levels and a model predictive control algorithm to produce additional levels for dc-link current performance improvement. The proposed method reduces both high and low order dc-link current ripple without affecting the quality of the ac-side voltage.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Automation & Control Systems
Chuangping Wen, Xiangyang Xing, Mengmeng Jing, Bo Sun, Chang Liu, Frede Blaabjerg
Summary: In this article, a modulation method without the medium vectors is proposed for leakage current suppression and NPV balancing in eight-switch converters. The effectiveness of the method is verified through simulations and experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Green & Sustainable Science & Technology
Guozhou Zhang, Weihao Hu, Di Cao, Dao Zhou, Qi Huang, Zhe Chen, Frede Blaabjerg
Summary: This study proposes a coordinated dispatch method for wind farms considering uncertainty, and trains an agent using deep reinforcement learning algorithm to solve the problem. Simulation results demonstrate the effectiveness of the proposed method.
Article
Automation & Control Systems
Yanqi Cheng, Weimin Wu, Yong Yang, Eftichios Koutroulis, Henry Shu-Hung Chung, Marco Liserre, Frede Blaabjerg
Summary: This article proposes a novel method based on zero-sequence voltage injection to estimate grid impedance. The main advantage of this method is that it minimizes the impact on the operation of the grid-connected inverter, without complex signal processing calculations.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
