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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Min Jiao Peng Li Ming Yang Longxiao Han Qiushi Wang Yixiao Yu Menglin Li Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

With the continuous expansion of wind power generation, wind power curtailment is becoming increasingly serious. In order to improve wind power accommodation capacity, more flexibility resources that can be utilized by electrical power system (EPS) need to be identified. This paper proposed a decentralized coordinated robust dispatch model of multi-area integrated electricity and heating system (IEHS), considering the dynamic characteristics of district heating network (DHN) and flexibility from interconnected IEHS transferred though tie-line. Meanwhile, the risk of wind power accommodation is also considered to balance the operational costs and risk costs. The alternating direction multiplier method (ADMM) is applied to solve the coordinated robust dispatch of multi-area IEHS. The results of the case studies show that the proposed model can optimize the allocation of power generation and flexibility resources in multi-area interconnected system, realize multi-area interconnected system flexibility sharing and effectively reducing operating costs.

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Short-Term Load Forecast Based on Feature Reconstruction and Bidirectional LSTM

Short-Term Load Forecast Based on Feature Reconstruction and...

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Xudong Zheng Ming Yang Yixiao Yu Menglin Li Chuanqi Wang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

Short term load forecasting is a guarantee for the safe, stable, and economic operation of the power system. With the large-scale integration of distributed new energy, load fluctuations increase, and the input feature data dimension increases during forecasting. Therefore, it is particularly important to screen and process input features reasonably when using deep neural networks for prediction. In response to the varying degrees of influence of various feature factors at different time points, this paper proposes a feature screening and input feature reconstruction method based on the maximum information coefficient of MIC, which achieves feature impact analysis, screening, and input feature reconstruction at sampling point granularity. The BI-LSTM neural network with stronger information mining ability is introduced to achieve high-precision short-term load forecasting. The results show that using the proposed input feature reconstruction strategy and assigning input feature weights according to the degree of influence significantly improves the prediction accuracy of deep neural networks. The method proposed in this paper has good adaptability to load fluctuations..

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High-performance self-powered ultraviolet to near-infrared photodetector based on WS_(2)/InSe van der Waals heterostructure

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Nano Research 2023年第5期16卷 7851-7857页

作者： Jinping Chen Zhen Zhang Yi Ma Jiying Feng Xiaoyu Xie Xiaoxuan Wang Aoqun Jian Yuanzheng Li Zhuxin Li Heng Guo Yizhi Zhu Qiannan Cui Zengliang Shi Chunxiang Xu State Key Laboratory of Bioelectronics School of Biological Science and Medical EngineeringSoutheast UniversityNanjing 210096China Micro Nano System Research Center Key Laboratory of Advanced Transducers and Intelligent Control System of the Ministry of Education&College of Information Engineering and ComputerTaiyuan University of TechnologyTaiyuan 030024China Key Laboratory of UV-Emitting Materials and Technology of Ministry of Education Northeast Normal UniversityChangchun 130024China

van der Waals heterostructures(vdWHs)based on two-dimensional(2D)materials without the crystal lattice matching constraint have great potential for high-performance optoelectronic ***,a WS_(2)/InSe vdWH photodiode is proposed and fabricated by precisely stacking InSe and WS_(2)flakes through an all-dry transfer *** WS_(2)/InSe vdWH forms an n–n heterojunction with strong built-in electric field due to their intrinsic n-type semiconductor characteristics and energy-band alignments with a large Fermi level offset between WS_(2)and *** a result,the device displays excellent photovoltaic behavior with a large open voltage of 0.47 V and a short-circuit current of 11.7 nA under 520 nm light ***,a fast rising/decay time of 63/76μs,a large light on/off ratio of 105,a responsivity of 61 mA/W,a high detectivity of 2.5×10^(11) Jones,and a broadband photoresponse ranging from ultraviolet to near-infrared(325–980 nm)are achieved at zero *** study provides a strategy for developing high-performance self-powered broadband photodetectors based on 2D materials.

关键词： two-dimensional materials van der Waals heterostructure self-powered photodetector photocurrent

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Linear Quadratic Pursuit and Evasion Differential Game Guidance Strategy with Obstacle Avoidance 34th

Linear Quadratic Pursuit and Evasion Differential Game Guida...

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34th Congress of the International Council of the Aeronautical Sciences, ICAS 2024

作者： Wang, Xintao Yang, Ming Ma, Ping Chao, Tao Control and Simulation Center Harbin Institute of Technology Harbin150080 China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin150080 China

In this paper, a class of linear quadratic differential game guidance scheme is presented to study the pursuit and evasion conflict scenario that an evader establishes a static obstacle and performs the evasion maneuver to avoid a pursuer. First of all, the engagement kinematic model among the obstacle, the pursuer, and the evader is linearized according to the assumption. The issue of the pursuit and evasion game is transformed into a linear quadratic differential game through the dead zone and the cost functions. Furthermore, the linear quadratic differential game approach is utilized to obtain the guidance strategy with obstacle avoidance. Numerical simulation results are employed to validate the performance of the guidance policy. © 2024, International Council of the Aeronautical Sciences. All rights reserved.

关键词： Cost functions

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Distributed Secondary control of DC Microgrids with Operation Loss Reduction 43

Distributed Secondary Control of DC Microgrids with Operatio...

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43rd Chinese control Conference, CCC 2024

作者： Qiu, Maoxiang Zhang, Zhicheng Zuo, Zhiqiang Wang, Yijing Tianjin University Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System School of Electrical and Information Engineering Tianjin300072 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China

ISBN: (纸本)9789887581581

In DC microgrids, current sharing and voltage regulation are two main objectives for real-time control, while the operation loss reduction is typically achieved by steady-state optimization. However, the ratio of current sharing is generally determined by the result of the centralized optimization in the classical hierarchical control framework of DC microgrids. Such an issue brings insufficient capability in respond to the changes of photovoltaic power and stored energy in the solar-powered energy systems. To handle this, this work proposes a distributed control scheme for single-bus DC microgrids. Under the proposed controller, the objectives of current sharing, bus voltage regulation and the total operation loss (converter loss and line loss) reduction can be guaranteed simultaneously. Moreover, the constraints on line currents and bus voltage are tackled as well. Finally, simulations verify the performance of the proposed control scheme. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Microgrids

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Two-Stage Virtual Inertia control Strategy with Coordination of Energy Storage system 3

Two-Stage Virtual Inertia Control Strategy with Coordination...

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3rd International Conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

作者： Lai, Yening Qie, Zhaohui Cao, Yongji Zhang, Hengxu Gao, Zhimin Qin, Hao Zhang, Jian Cao, Xuening State Grid Electric Power Research Institute Nari Group Corporation Nanjing China Shandong University Academy of Intelligent Innovation Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9798350303698

To address the lack of effective cooperative control of each inertia support resource, the principles of cooperative inertia control in the power system with a high percentage of renewable energies are studied and the problems of cooperative inertia control are summarized. To make the wind turbine generator (WTG) participate in inertia response based on rotor kinetic energy method and the photovoltaic (PV) unit participate in inertia response based on capacitive energy storage method. The inertia response stage enables the energy storage system (ESS) based on sag control to collaborate with the WTG and PV unit for inertia support, and the frequency recovery stage enables ESS based on fuzzy control to improve the frequency response performance. The fuzzy control rules are formulated to propose a virtual inertia cooperative control method for the WTG, PV unit, and ESS. A case study is conducted to verify the effectiveness of the proposed strategy. © 2023 IEEE.

关键词： Frequency response

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EPM-Net: A better way for optical and infrared scene matching via edge point 12

EPM-Net: A better way for optical and infrared scene matchin...

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SPIE 12th International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR 2023

作者： Huang, Shixiang Chi, Longyun Fu, Wenxing Tian, Jinwen National Key Laboratory of Multispectral Information Intelligent Processing Technology Huazhong University of Science and Technology Wuhan China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (数字)9781510674943

ISBN: (纸本)9781510674936

As a crucial auxiliary technique in inertial navigation, scene matching has been widely applied in aircraft navigation and guidance. To enhance the adaptability and efficiency of scene matching algorithms in complex environments, existing approaches have gradually shifted towards heterogeneous scene matching, such as optical/ infrared scene matching based on deep learning features, with a focus on point features. However, due to the complex and diverse nonlinear distortions between optical and infrared images, the matching accuracy often fails to meet the practical requirements of navigation and positioning. In view of this problem, an EPM-Net algorithm based on edge features is proposed to improve matching performance by extracting more stable and discriminative edge point descriptors. Experimental results on infrared datasets demonstrate that this method achieves an average matching accuracy improvement of more than four times compared to traditional and existing deep learning methods. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Deep learning

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Adaptive optimal output regulation: A parametric Lyapunov equation approach 5

Adaptive optimal output regulation: A parametric Lyapunov eq...

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5th International Conference on control, Robotics, and intelligent system, CCRIS 2024

作者： ul Aabidin Lodhi, Zain Jiang, Huaiyuan Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Harbin China

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

This article delves into a data-driven approach for solving the adaptive optimal output regulation problem in continuous-time linear systems with uncertain dynamics. Employing a class of parametric Lyapunov equations in conjunction with a nominal system model, the initial stabilizing feedback gain is determined to initiate the iterative method. Then, by utilizing a policy-iteration-based technique, we design an optimal control policy to achieve precise output tracking and disturbance rejection. The prescribed convergence characteristics of the closed-loop system directly result from the properties embedded within the solution of the parametric Lyapunov equation. The applicability and performance of the proposed method are demonstrated through a numerical example involving an input-constrained double integrator system. © 2024 SPIE.

关键词： Continuous time systems

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Adaptive Substation Load Restoration under Extreme Hot Weather Considering the Flexibility of Air Conditioners 7

Adaptive Substation Load Restoration under Extreme Hot Weath...

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7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022

作者： Fan, Rui Sun, Runjia Liu, Yutian Shandong University Key Laboratory of Power Grid Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

Load restoration fitting to the change of load amount, available power and outdoor temperature is an important measure to enhance power system resilience under extreme hot weather. A multi-time scale substation load restoration method considering active control of air conditioners is proposed for adaptive restoration. First, a framework of adaptive load restoration is formulated to coordinate the longtime scale whole process scheme making and short-time scale active air conditioners control. Second, an optimization model considering the whole process of substation load restoration is established to make feeder switch schemes to improve load restoration efficiency from the perspective of a long-time scale. Third, model predictive control is adopted to realize the active control of air conditioners from the perspective of a short-time scale to fit the continuously changed load amount, available power and outdoor temperature during restoration. The simulation results demonstrate that the proposed substation load restoration method can make schemes adaptively with better restoration benefit under extreme hot weather. © 2022 IEEE.

关键词： Restoration

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Stochastic Power Flow Distributed Algorithm for Distribution Network Based on Scenario Equivalence Between Regions

Stochastic Power Flow Distributed Algorithm for Distribution...

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2023 International Conference on Power system Technology, PowerCon 2023

作者： Jing, Zhibin Sun, Jiacheng Hao, Qianpeng Li, Qiang Ren, Jie Zhang, Ye Zhao, Hanjie Li, Junhui Li, Cuiping Inner Mongolia Power Company Limited Dispatch Control Branch Hohhot China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (纸本)9798350300222

A distributed stochastic power flow algorithm for distribution network based on inter-region scenario equivalence is proposed for the problem that the power injection of each node needs to be simulated with a large number of samples in the distribution network stochastic power flow algorithm, thus causing low computational efficiency. Firstly, the distribution network is divided into a backbone region and several sub-regions according to its radial structure characteristics, and the sampled power samples are partitioned;secondly, based on the inter-region power flow coupling relationship, the inter-region power flow action is replaced with the effect on the boundary quantity;then, a scenario equivalence method is proposed to merge the power scenarios that cause the same boundary injected power and boundary voltage. Finally, a distributed algorithm for distribution network stochastic currents is designed, and each region can complete the distributed solution of distribution network stochastic currents through the exchange of boundary equivalence scenario information and internal calculation, and the accuracy and effectiveness of the proposed method in reducing time are verified in the IEEE123 node system calculation example. © 2023 IEEE.

关键词： Electric power distribution

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