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SSRN 2024年

作者： Yan, Xizhe Tong, Dan Cao, Zhi Chen, Cuihong Guo, Yaqin Xu, Ruochong Qin, Xinying Fu, Yujia Liu, Yang Zheng, Dongsheng He, Kebin Zhang, Qiang Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University Beijing100084 China College of Environmental Science and Engineering Nankai University Tianjin300350 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Institute for Carbon Neutrality Tsinghua University Beijing100084 China

Assessing historical emission trajectories and forecasting future changes at the unit level for the global cement industry are vital for summarizing past experiences in green management and designing a plant-by-plant transition roadmap. Here, we evaluate the evolution of major air pollutant emissions during 1990−2020 and explore mitigation pathways for future sustainable development, based on a developed unit-level global cement emissions database. Our findings indicate that strengthening emission standards is an effective strategy for decoupling air pollutant emissions from clinker production, particularly for emerging economies. Without stringent emission controls, these economies are poised to become major contributors to pollutant emissions due to growing demand. To promote environmental sustainability, emerging economies should enhance emission controls to reverse the emission growth driven by demand expansion, while China and developed countries should deepen their emission mitigation efforts. Our results highlight the importance of upgrading end-of-pipe controls to ensure sustainability within the global cement industry. © 2024, The Authors. All rights reserved.

关键词： Sustainable development

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DC Overvoltage Analysis of GFM-controlled Wind Farm Connected via MMC-HVDC system Caused by Receiving-end AC Faults

DC Overvoltage Analysis of GFM-controlled Wind Farm Connecte...

引用

International Conference on Power Electronics and Motion control (IPEMC)

作者： Siying Chen Min Cheng Yingbiao Li Jiawei Yu Yihua Zhu Mingkang Wu Jiabing Hu Jianan Yan State Key Laboratory of Advanced Electromagnetic Technology and School of Electrical and Electronic Engineering Huazhong University of Science and Technology China Yunnan Power Grid China CSG Key Laboratory for Power System Simulation (Electric Power Research Institute China Southern Power Grid) State Key Laboratory of HVDC (Electric Power Research Institute China Southern Power Grid) National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

DC overvoltage occurs when short circuit fault exists at the receiving-end and is harmful to the safety of the system where wind farms are connected to the grid through high-voltage direct current (HVDC) transmission based on the modular multilevel converter (MMC). To address this issue, this paper first analyzed the mechanism of the DC overvoltage and innovatively proposed a strategy in which grid-forming-controlled wind farms are integrated into the AC grid through MMC-HVDC, whose sending-end applies grid-following control and constant DC voltage control. However, secondary DC overvoltage appears during the fault recovery stage and is mainly caused by the saturation of the PI controller of constant active power control. simulations are carried out on a test with MATLAB/Simulink, and results verify the efficacy of the proposed methods in suppressing DC overvoltage that appeared during receiving-end faults and their recovery stage.

关键词： PI control simulation Power control Wind farms Robustness Wind turbines Safety

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FPGA-based Adaptive Variable Step MPPT Real Time simulation for Photovoltaic systems

FPGA-based Adaptive Variable Step MPPT Real Time Simulation ...

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2020 International Conference on Smart Grid and Energy Engineering, SGEE 2020

作者： He, Ruxun Wang, Shouxiang Zhang, Chunyu Ma, Qi Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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A Novel Modulation Recognition Algorithm for Satellite Communication and TT&C Signals

A Novel Modulation Recognition Algorithm for Satellite Commu...

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Signal Processing, Communications and Engineering Management Conference (ISPCEM), International

作者： Dongwei Zhang Xiaolong Liang Canyu Huang Yaobo Shang Shaanxi Key Laboratory of Meta-Synthesis for Electronic and Information System Air Traffic Control and Navigation School of Air Force Engineering University Xi'an China Air Traffic Control and Navigation School of Air Force Engineering University Xi'an China

Electromagnetic signal modulation mode is one of the key elements of battlefield technical parameter information. This paper proposes an efficient modulation recognition algorithm for satellite communication and TT&C signals based on decision tree, which can accurately identify eight satellite modulation modes, including BPSK, QPSK, 2FSK, 4FSK, 16QAM, BPSK/PM, QPSK/PM and 2FSK/PM. The spectrum characteristics of the modulation methods commonly used in satellite communication and TT&C signals are firstly analyzed, and the main differences between and within categories of modulation methods of satellite signals are summarized; Then, rational feature parameters are selected and designed, and a complete modulation recognition process is proposed based on these parameters; Finally, the correctness and performance of the proposed recognition algorithm are evaluated by numerical simulation. The simulation results show that when the SNR (signal-to-noise ratio) of the proposed algorithm is more than 4dB, the modulation recognition accuracy of the eight satellite communication/TT&C signals can reach above 95%.

关键词： Satellites simulation Modulation Signal processing algorithms Classification algorithms Binary phase shift keying Character recognition

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Economic Dispatch of Microgrid Generation-Load-Storage Based on Dynamic Multi-Level Game of Multiple Stakeholders

SSRN

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SSRN 2024年

作者： Mao, Yang Jinxin, Wang Xudong, Cao Dake, Gu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin132012 China State Grid Changchun Power Supply Company Jilin Province Changchun130021 China

This paper establishes a dynamic multi-level game model based on multiple stakeholders such as microgrid, power grid, and users. Delineating the market functions of energy storage, considering the full life cycle investment and construction costs, leasing costs, and peak shaving ancillary service revenue, establish a net income model for energy storage investor. In the upper level, with energy storage investment companies as leaders and microgrid as followers, establish a master-slave game model for optimizing energy storage leasing prices, and formulate leasing strategies for energy storage. In the lower level, with microgrid operator as leaders and users as followers, a master-slave game model is established to devise scheduling strategies for microgrid and determine optimal electricity prices. The proposed model solves a multi-multi-level programming problem and presents a hybrid multi-strategy improved whale optimization algorithm based on simulated annealing, combined with the theory of fixed points to iteratively solve the optimization problems of the upper and lower levels until a converged optimal solution at the fixed point is obtained. Finally, through case studies, it is verified that the operational mode of energy storage as a market entity can bring higher economic benefits to multiple stakeholders such as microgrid and users. © 2024, The Authors. All rights reserved.

关键词： Iterative methods

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Design of Planar Ultra-wideband Notch Antenna 19

Design of Planar Ultra-wideband Notch Antenna

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Zheng, Xuemei Xu, Xiuming Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China College of Information & Communication Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9781665424462

Ultra-wideband technology determines the development trend of the future society. As the core technology of ultra-wideband technology, ultra-wideband antennas are the most important structure in the radio system. When it is working, it will generate electromagnetic waves in free space and be converted into radio waves. There are many narrow-band frequency bands in the ultra-wideband frequency range (3.1GHz-10.6GHz). Use possible ways to make the antenna filter out other narrow-band interference in the working frequency band to realize the notch function. © 2021 IEEE.

关键词： Ultra-wideband (UWB)

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Antenna Design Based on Minkowski Like Fractal Structure 19

Antenna Design Based on Minkowski Like Fractal Structure

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Zheng, Xuemei Li, Songqi Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China College of Electrical Engineering Northeast Electric Power University Jilin China

ISBN: (纸本)9781665424462

Antenna is widely used in wireless communication equipment, which is developing towards miniaturization and high frequency. The application of fractal theory in antenna design can make the antenna more miniaturized and multifrequency, so the research of fractal microstrip antenna has very important theoretical significance and practical value. Based on Minkowski like fractal structure, a dual band fractal microstrip antenna is designed, which works in WLAN and WiMAX band. The center frequency is 2.4GHz and 2.7GHz, and the isolation near the center frequency is more than 15dB. © 2021 IEEE.

关键词： Fractals

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Resilience assessment and improvement for electric power transmission systems against typhoon disasters: A data-model hybrid driven approach

arXiv

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arXiv 2022年

作者： Yang, Rui Li, Yang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education [Northeast Electric Power University Jilin132012 China

In response to the damage to electric power transmission systems caused by typhoon disasters in coastal areas, a planning-targeted resilience assessment framework that considers the impact of multiple factors is established to accurately find the weak links of the transmission system and improve the system resilience. Firstly, this paper constructs the attenuation model of the wind field and the comprehensive failure model of the system, in which the model drive to establish the cumulative failure model of the transmission system is adopted, and multiple data-driven schemes to correct the cumulative failure rate by relying on the feature factor information of the transmission system is adopted. At the same time, an analytic hierarchy process-weighted arithmetic averaging (AHP-WAA) method is introduced to select the optimal data-driven evaluation scheme. Secondly, this paper adopts the impact-increment-based state enumeration (IISE) method to establish resilience indicators for systems and corridors separately. On this basis, the optimal promotion strategy is selected according to the construction difficulty, resilience improvement ability, and cost analysis. Finally, simulations on the IEEE RTS-79 system have been carried out considering the influence of the real typhoon scenarios, micro-topographic and transmission corridor information factors. The results demonstrate that the hybrid-driven system resilience assessment and improvement method can assist planners in accurately judging the resilience level of the system against typhoon disasters and selecting the best resilience improvement strategy based on the cost-effectiveness ratio. Copyright © 2022, The Authors. All rights reserved.

关键词： Analytic hierarchy process

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Semi-Global Leaderless Consensus of Linear Multi-agent systems with Actuator and Communication Constraints

引用

Journal of systems Science & Complexity 2020年第4期33卷 882-902页

作者： WANG Jian SHI Liangren GUAN Xinping Department of Automation and Key Laboratory of System Control and Information Processing of Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China Shanghai Key Laboratory of Navigation and Location-based Services and Academy of Information Technology and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

This paper studies the leaderless consensus problems of multi-agent systems with input saturation and intermittent communication over directed networks. Both the state feedback and the output feedback consensus algorithms are developed based on low gain feedback approach. The convergence of the trajectories of all agents can be achieved by these proposed algorithms, if the communication topology has a directed spanning tree, and the intermittent communication period T and time rate ρ are larger than their associated threshold values. simulation examples are provided to verify the theoretical results.

关键词： agent directed communication

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PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency

arXiv

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arXiv 2025年

作者： Dong, Xintong Yuan, Zhengyi Lin, Jun Dong, Shiqi Tong, Xunqian Li, Yue College of Instrumentation and Electrical Engineering Jilin University Changchun130026 China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Northeast Electric Power University Jilin132012 China College of Communication Engineering Jilin University Changchun130012 China

Full-waveform inversion (FWI) is a method that utilizes seismic data to invert the physical parameters of subsurface media by minimizing the difference between simulated and observed waveforms. Due to its ill-posed nature, FWI is susceptible to getting trapped in local minima. Consequently, various research efforts have attempted to combine neural networks with FWI to stabilize the inversion process. This study presents a simple yet effective training framework that is independent of dataset reliance and requires only moderate pre-training on a simple initial model to stabilize network outputs. During the transfer learning phase, the conventional FWI gradients will simultaneously update both the neural network and the proposed adaptive residual learning module, which learns the residual mapping of large-scale distribution features in the network’s output, rather than directly fitting the target mapping. Through this synergistic training paradigm, the proposed algorithm effectively infers the physically-informed prior knowledge into a global representation of stratigraphic distribution, as well as capturing subtle variations in inter-layer velocities within local details, thereby escaping local optima. Evaluating the method on two benchmark models under various conditions, including absent low-frequency data, noise interference, and differing initial models, along with corresponding ablation experiments, consistently demonstrates the superiority of the proposed approach. Copyright © 2025, The Authors. All rights reserved.

关键词： Stratigraphy

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