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Workshop on Predictive control of Electrical Drives and power electronics (PRECEDE)

作者： Jixiang Diao Sucheng Liu Xuefeng Huang Qianjin Zhang Wei Fang Xiaodong Liu Anhui Province Key Laboratory of Power Electronics and Motion Control Anhui University of Technology Ma’anshan China

DC microgrid clusters (DCMGCs) are a network of interconnected DC microgrids that work collaboratively to enhance resilience, reliability and optimize the economic benefits of the systems. However, due to the intricate dynamics of high order and nonlinearities, modeling for controller design can be an overwhelming task. To overcome this issue, this paper proposes a data-driven predictive control approach to regulate the power flow of DCMGCs. The proposed method employs a nonlinear autoregressive network with exogenous inputs (NARX) neural network, which does not rely on analytical modeling. Instead, the prediction model is obtained by fitting and training the system data. Consequently, the control objectives of DCMGCs can be achieved intelligently using this model-free approach. The hardware-in-the-loop (HIL) prototype of the DCMGC based on ${\mathrm{dSPACE}}^{\mathrm{TM}}$ MicrolabBox and Microcontroller STM32 is built, and the proposed method is verified by HIL experiments.

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Event-Triggered Predictive Function control of DC Microgrid Clusters

Event-Triggered Predictive Function Control of DC Microgrid ...

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Workshop on Predictive control of Electrical Drives and power electronics (PRECEDE)

作者： Taohu Zhou Sucheng Liu Jixiang Diao Qianjin Zhang Wei Fang Xiaodong Liu Anhui Province Key Laboratory of Power Electronics and Motion Control Anhui University of Technology Ma’anshan China

DC microgrid cluster (DCMGC) is a dynamic network of multiple DC microgrids (DCMGs) that interconnected through tie-lines. By effective power flow control among the interconnected multiple DCMGs, the overall DCMGC is capable of achieving the most in terms of reliability, efficiency, and cost reduction. But the high penetration of distributed energy resources and power electronics converters render the control design of the complex DCMGCs a challenge task. The model predictive control (MPC) has been proven as a promising solution in the control of DCMGCs. However, the mechanism of the receding horizon optimization of MPC impose much stress onto the online computation and leads to the waste of communication resources as well, especially in the steady-state operation of the systems. To address this issue, an event-triggering is added to the MPC algorithm in the power flow control of DCMGCs, and the control command is only updated subject to the triggering events. Hence, the high frequency constant online computation and optimization will be significantly reduced. A hardware-in-the-loop (HIL) prototype of the DCMGC that consists of three DCMGs is built to verify the feasibility of the proposed method.

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Transient Stability Analysis of Inverters Considering Synchronization and DC Voltage control Interaction

Transient Stability Analysis of Inverters Considering Synchr...

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International Conference on power electronics and motion control (IPEMC)

作者： Qi Hu Qianjin Zhang Siwei Sun Dikui Mei Sucheng Liu Xiaodong Liu Wei Fang Shijing Wang Anhui Provincial Key Laboratory of Power Electronics and Motion Control Anhui University of Technology Ma’Anshan China State Grid Anhui Wuhu Power Supply Company State Grid Wuhu China

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

Renewable power generation is constituting a new power system. However, the system stability is influenced by the increasing proportion of power converters. The transient stability involves system nonlinear characteristics and is difficult to analyze. The Takagi-Sugeno (T-S) fuzzy model has been used to facilitate the transient stability analysis of synchronization control. However, in two-stage inverters, the time scale of DC voltage control overlaps with that of the synchronization control. System stability should be discussed considering these two control dynamics. This paper investigates the large-signal stability of two-stage grid-connected inverters in the synchronization control time scale. The T-S fuzzy model is established considering the dynamics of DC voltage and synchronization control. The Lyapunov stability and the domain of attraction (DOA) are discussed for different system parameters. Finally, simulation verifies the effectiveness of the model and stability analysis.

关键词： Analytical models power system dynamics power system stability Stability analysis Inverters Synchronization Voltage control

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Research on Low Cross Regulation Multiple High Voltage Output Converter Based on Magnetic Decoupling

Research on Low Cross Regulation Multiple High Voltage Outpu...

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power electronics and Application Symposium (PEAS), IEEE International

作者： Gui Zhu Xiaodong Liu Zhiyuan Qin Qianjin Zhang Sucheng Liu Wei Fang School of Electrical and Information Engineering Anhui University of Technology Maanshan China Provincial Key Laboratory of Power Electronics and Motion Control Anhui University of Technology Maanshan China

In some specific areas, high-voltage and multiple ports output are required to supply power at the same time. Multi-output converter is widely used in practical applications because of its advantages of simple circuit, high dependability and low cost. However, there is a problem of cross adjustment rate. In order to fundamentally solve the cross adjustment rate of the multi-output converter, a new multi-output converter is proposed. The magnetic decoupling transformer (MDT) is used to remove the coupling between each output, so that each output can be controlled separately. Finally, the integrated magnetic model is built in Simulink and maxwell for simulation verification. The simulation results verify the correctness and effectiveness of the method.

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H∞ control for Markov jump systems with multi-timescale characteristic based on slow state feedback 24

H∞ control for Markov jump systems with multi-timescale cha...

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Proceedings of the 2024 2nd International Conference on Computer, Internet of Things and Smart City

作者： Bangteng Dai Kun Liang Mengshen Chen Shanghai University of Electric Power Shanghai Shanghai China Shanghai University of Electric Power Shanghai Shanghai China and Key Laboratory of Power Electronics and Motion Control of Anhui Higher Education Institutions Maanshan China University of Shanghai for Science and Technology Shanghai Shanghai China and Anhui Province Key Laboratory of Special Heavy Load Robot Maanshan China

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Multi-Objective Heterogeneous Green Vehicle Routing Problem with Customer Service Constraints

Multi-Objective Heterogeneous Green Vehicle Routing Problem ...

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Robotics, Intelligent control and Artificial Intelligence (RICAI), International Conference on

作者： Xianghu Meng Wei Gao Jing Tang Anhui Provincial Key Laboratory of Power Electronics and Motion Control Anhui University of Technology Maanshan China Department of Electrical and Information Engineering Anhui University of Technology Maanshan China

Green Vehicle Routing Problem (GVRP) is a hot topic in the field of combinatorial optimization. In this paper, Multi-Objective Heterogeneous Green Vehicle Routing Problem with Customer Service Constraints (MOHGVRP-CSC) is proposed for the first time, and an integer planning model is established with three objectives to minimize the total traveling costs of vehicles, Carbon Emission cost and Customer Satisfaction cost. Then, a Hybrid Variable Neighborhood Search (HVNS) with hierarchical clustering and Brain Storm Optimization (BSO) is proposed. At the initial stage of the algorithm, the initial solution is constructed by hierarchical clustering algorithm and greedy algorithm. In addition, BSO is introduced into the global search of VNS to obtain a wider range of neighborhood searches. At the same time, 2-opt method is adopted in the local search to further improve the solution quality. Finally, the effectiveness of the proposed algorithm is verified by a large number of experimental simulations.

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A Dynamic VRP with Varying Transportation Costs and Its Solution Strategy 18

A Dynamic VRP with Varying Transportation Costs and Its Solu...

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18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Meng, Xianghu Li, Ziwen Tang, Jing Anhui University of Technology Anhui Provincial Key Laboratory of Power Electronics and Motion Control Maanshan China Anhui University of Technology Department of Electrical and Information Engineering Maanshan China

ISBN: (纸本)9781665440486

A vehicle routing problem (VRP) is a well-known routing optimization problem. This work presents a capacitated VRP where transportation costs among the customers change over time, and constructs its non-linear integer program. It applies to vehicle distribution optimization problems under a dynamic traffic network. Then, a dynamic optimization strategy with an enhanced Variable Neighborhood Search (VNS) is proposed for addressing this problem. It contains two steps, i.e., initial scheduling and rescheduling. The former provides an initial solution for vehicles and the latter generates a new solution if the traffic information changes. Furthermore, to simulate the transportation costs in the dynamic traffic network, a dynamic simulator with adjustable frequency and amplitude is designed. Finally, experiments are conducted and the results show that the solution quality is improved by 2% ~ 6% over that static scheduling strategy. © 2021 IEEE.

关键词： Vehicles

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Ant Colony Optimization for Heterogeneous GVRP with Customers Service Restrictions 18

Ant Colony Optimization for Heterogeneous GVRP with Customer...

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18th IEEE International Conference on Networking, Sensing and control, ICNSC 2021

作者： Li, Ziwen Meng, Xianghu Tang, Jing Anhui University of Technology Department of Electrical and Information Engineering Maanshan China Anhui University of Technology Anhui Provincial Key Laboratory of Power Electronics and Motion Control Maanshan China

ISBN: (纸本)9781665440486

Carbon dioxide emission has become a serious issue all over the world. Green vehicle routing problem (GVRP) is scheduling vehicles to optimize both economic and environmental costs during the distribution process. This work presents heterogeneous GVRP with customers service restrictions (HGVRP-CSR), in which each customer is only allowed to be served by the designated vehicles. It aims at scheduling vehicles to minimize the economic cost of fuel consumption and CO2 emission. A rigorous mathematical program is constructed. Then, an enhanced ant colony optimization algorithm is proposed to solve it. The maximum and minimum pheromones are utilized to overcome premature convergence and guarantee population diversity. Furthermore, a variable neighborhood search (VNS) approach is adopted to execute systematic neighborhood search in the local search stage of ACO. Finally, extensive experiments are conducted and the results show that the proposed algorithm is an effective and efficient heuristics to solve HGVRP-CSR. © 2021 IEEE.

关键词： Ant colony optimization

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Function controller Design in Tertiary Level for DC Microgrid Clusters 9

Function Controller Design in Tertiary Level for DC Microgri...

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9th IEEE International power electronics and motion control Conference, IPEMC 2020 ECCE Asia

作者： Liu, Rui Liu, Sucheng Zheng, Jiazhu Fang, Wei Liu, Xiaodong Anhui University of Technology Anhui Province Key Laboratory of Power Electronics and Motion Control Ma'anshan China

ISBN: (纸本)9781728153018

The hierarchical control framework including primary, secondary, and tertiary levels has become a standard solution for control of microgrids (MGs), where the tertiary is responsible for power flow management among clusters of microgrids. This paper presents a predictive function controller (PFC) design in tertiary level for DC microgrid (DCMG) clusters. The loading mismatch among neighbor microgrids is used in an updating policy to adjust voltage set points of the DC microgrids to facilitate the power flow and thus mitigate such mismatch. The design procedure of the PFC controller is detailed, and the simulation model with two interconnected DC microgrids is built in MATlab/Simulink environment to verify the controller performance. © 2020 IEEE.

关键词： controllers

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A Single-Switch Coupled Inductor-based DC-DC Converter with High Gain and Low Voltage Stress

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IEEE Transactions on power electronics 2025年

作者： Hu, Xuefeng Chen, Yanlong Jia, Junqiang Huo, Liang He, Xuehan Hu, Cungang Anhui University of Technology Anhui Key Laboratory of Power Electronics and Motion Control Technology School of Electrical and Information Engineering Ma'anshan243032 China Anhui University of Technology School of Electrical and Information Engineering Maanshan243032 China Anhui University Hefei230601 China Anhui University Dean of Chuzhou Research Institute the Deputy Dean of School of Electrical Engineering and Automation China

In this paper, a novel single-switch DC-DC converter based on integrated two boost units and a three-windings coupled inductor with two switched capacitor networks is proposed for high voltage ratio conversion applications. The proposed converter can achieve wide range of voltage gain based on very low voltage stress of all semiconductor devices, and zero current turned-off for all diodes by the reasonable leakage inductance. Moreover, there is a constant potential difference between the ground of its input and output. The above features make the presented converter an excellent interface between the low voltage input source and the high voltage DC-link bus in the field of renewable energy power generation. In addition, the output capacitors in series of the proposed converter are charged and discharged alternately, which can effectively reduce the ripple of the output voltage from the inherent structure. Meanwhile, the inherent circuit structure not only suppresses the voltage spike of the switch, but also absorbs the leakage energy synchronously when the main switch is turned off, improving the efficiency of the converter. The theoretical characteristics of the converter are described in detail, and a 400W experimental prototype is built to prove the effectiveness of the converter. © 2025 IEEE.

关键词： Capacitor bank

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