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Multistage power generation planning approach for new power systems with high renewable energy integration considering flexibility constraints

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International Journal of Electrical Power and Energy systems 2025年 169卷

作者： Li, Danyang Liu, Hongpeng Zhang, Jingwei Han, Xu Zhang, Shuxin The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin Province Jilin 132012 China State Grid Jilin Electric Power Co. Ltd. Baicheng Power Supply Company Jilin Province Baicheng 137000 China State Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company Jilin Province Jilin 132000 China

Under the “dual-carbon” goals, the integration of high-proportion renewable energy has amplified operational uncertainties in new power systems, posing novel challenges to the economic planning of generation system expansion. However, existing power planning methodologies suffer from static modeling defects, incomplete constraint systems, and oversimplified cost structures, rendering them inadequate to support the low-carbon transition of emerging power systems. This necessitates a comprehensive consideration of system variability and flexibility to establish a multi-stage generation planning model. Addressing these limitations, this paper develops a fundamental multi-stage planning framework based on scenario tree structures, further incorporating carbon emissions and penalty costs for curtailed renewable energy. A flexibility-constrained multi-stage generation planning model is formulated, which resolves nonlinearity through auxiliary variable linearization and Benders decomposition algorithm. Case studies demonstrate that the proposed model achieves a 47.3% reduction in total 10-year planning costs for a typical regional system, comprising 39.5% operational cost savings and 46.3% carbon emission cost reduction, while elevating renewable energy accommodation rate to 80%. The model fulfills economic-environmental requirements and ensures system reliability. © 2025

关键词： Efficient use of energy High proportion of new energy Multistage generation planning New power system system flexibility requirements

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Analysis of the influence of wind farms in full operating conditions on the torsional vibration of the shaft system of synchronous generators

Analysis of the influence of wind farms in full operating co...

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International Conference on Power system Technology (POWERCON)

作者： Qi Jia Wenchao Zhai Qiang Zhang Feng Sun Mohan Shen State Grid Liaoning Electric Power Research Institute Shenyang China Ministry of Education Key Laboratory of Modern Power System Simulation Control and Green Power Technology Northeast Electric Power University Jilin China

ISBN: (纸本)9781665407380

The power oscillation induced by the large-scale integration of wind power into the power grid has become one of the important issues affecting the safe and stable operation of the power grid. Aiming at the dynamic interaction between wind farms and synchronous generators, based on the additional excitation signal injection method, the influence of DFIG and PMSG wind farms on the damping characteristics of each torsional vibration mode of synchronous generators under full operating conditions is analyzed. By applying an AC voltage signal at both ends of the field winding to stimulate rotational speed oscillation, observe the difference in the free response characteristics of rotational speed disturbances, identify the electromechanical coupling characteristics between the wind farm and the synchronous generator set, and reveal the influence of the wind farm type and operating conditions on the shaft system of the synchronous generator set. The mechanism of torsional vibration. Finally, the validity of the theoretical analysis is verified based on time-domain simulation.

关键词： Vibrations Damping Shafts Fans Wind speed Power system dynamics Wind farms

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Space Charge Transport of $\boldsymbol{\text{Al}_2 \mathrm{O}_3}$ /Silicone Rubber Composites Under Thermal Aging

Space Charge Transport of $\boldsymbol{\text{Al}_2 \mathrm{O...

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International Conference on High Voltage Engineering and Application, ICHVE

作者： Yunxiao Zhang Chenning Yan Kai Wu Yuanxiang Zhou Tianfeng Zhang College of Electrical Engineering and Automation Fuzhou University Fuzhou Fujian China Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi China Electric Power Research Institute Anhui Electric Power Company of State Grid Hefei China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407519

Silicone rubber (SIR) has been widely used in the insulation of cable accessories due to its excellent performance. In this paper, pure SIR and nano $\boldsymbol{\text{Al}_2 \mathrm{O}_3 / \text{SIR}}$ composites are thermally aged for 0–80 days at $\boldsymbol{200^{\circ} \mathrm{C}}$ . The effects of long-term thermal aging on the space charge transport are analyzed. The results show that with the increase of thermal aging time, the accumulation of heteropolar charge of pure SIR and nano $\boldsymbol{\text{Al}_{2}\mathrm{O}_{3}/\text{SIR}}$ composites gradually decreases and changes to the accumulation of homopolar charge. Compared with pure SIR, the space charge accumulation of $\boldsymbol{\text{Al}_{2}\mathrm{O}_{3}/\text{SIR}}$ composites decreases significantly and changes little with the increase of thermal aging time. It is believed that when doped nano $\boldsymbol{\text{Al}_{2}\mathrm{O}_{3}}$ in SIR, the increase of carrier mobility and the introduction of metal oxides reacting with fallen free radicals to form stable compounds both lead to less space charge accumulation of $\boldsymbol{\text{Al}_{2}\mathrm{O}_{3}/\text{SIR}}$ composites.

关键词： Nanocomposites Impurities Metals High-voltage techniques Aging Space charge Thermal analysis

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MAE-GAN: A Novel Strategy for Simultaneous Super-resolution Reconstruction and Denoising of Post-stack Seismic Profile

arXiv

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arXiv 2024年

作者： Yu, Wenshuo Dong, Shiqi Lu, Shaoping Dong, Xintong The College of Instrumentation and Electrical Engineering Jilin University Jilin Changchun130026 China The Key Laboratory of Modern Power System Simulation and the Control and Renewable Energy Technology Ministry of Education Jilin Jilin City132012 China Department of Communication Engineering College of Electric Engineering Northeast Electric Power University Jilin Jilin City132012 China School of Earth Sciences and Engineering Sun Yat-Sen University Guangdong Guangzhou510275 China Guangdong Zhuhai519000 China Guangdong Provincial Key Lab of Geodynamics and Geohazards Sun Yat-Sen University Guangdong Guangzhou510275 China

Post-stack seismic profiles are images reflecting containing geological structures which provides a critical foundation for understanding the distribution of oil and gas resources. However, due to the limitations of seismic acquisition equipment and data collecting geometry, the post-stack profiles suffer from low resolution and strong noise issues, which severely affects subsequent seismic interpretation. To better enhance the spatial resolution and signal-to-noise ratio of post-seismic profiles, a multi-scale attention encoder-decoder network based on generative adversarial network (MAE-GAN) is proposed. This method improves the resolution of post-stack profiles, and effectively suppresses noises and recovers weak signals as well. A multi-scale residual module is proposed to extract geological features under different receptive fields. At the same time, an attention module is designed to further guide the network to focus on important feature information. Additionally, to better recover the global and local information of post-stack profiles, an adversarial network based on a Markov discriminator is proposed. Finally, by introducing an edge information preservation loss function, the conventional loss function of the Generative Adversarial Network is improved, which enables better recovery of the edge information of the original post-stack profiles. Experimental results on simulated and field post-stack profiles demonstrate that the proposed MAE-GAN method outperforms two advanced convolutional neural network-based methods in noise suppression and weak signal recovery. Furthermore, the profiles reconstructed by the MAE-GAN method preserve more geological structures. Copyright © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Accelerated performance degradation test and analysis of high-temperature strain gauges

Accelerated performance degradation test and analysis of hig...

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13th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2023)

作者： L. Li Z. Wang N. Yang Q. Wu H. Wang Z. Mao K. Ren Q. Wang Y. Wang National Key Laboratory of Strength and Structural Integrity School of Aeronautic Science and Engineering Beihang University Beijing People's Republic of China Shenyang Aircraft Design and Research Institute Shenyang People's Republic of China Institute of Spacecraft System Engineering China Academy of Space Technology Beijing People's Republic of China Navigation Instrument Research Institute Tianjin People's Republic of China Beijing Institute of Control Engineering Beijing People's Republic of China

ISBN: (数字)9781839539275

With the extension of the service time of the structure and the worse service temperature conditions, the drift problem of hightemperature strain gauges gradually becomes prominent. This research aims to address the issue of the drift of measurement results because of the performance degradation of high-temperature strain gauges, and investigate the drift law under different temperatures considering complex service environments. In this paper, a combination of experimental research and theoretical analysis is utilized to design and conduct the accelerated performance degradation test on high-temperature strain gauges. Based on the result of the test, an accelerated performance degradation model is developed using the Wiener process and Arrhenius model. Finally, estimation curves for the average value and percentile value of the performance parameters of the hightemperature strain gauges are obtained, which demonstrates that the established accelerated performance degradation model can reasonably describe the degradation law. Additionally, the established accelerated performance degradation model enables effective analysis and compensation of gauge drift at any temperature.

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Optimization Scheme for the SSC Discrimination Logic of Xinsong-Dongfang HVDC under Small Islanded Operation Mode

Optimization Scheme for the SSC Discrimination Logic of Xins...

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IEEE International Conference on Power and Energy systems (ICPES)

作者： Yukun Zhu Chengxiang Li Yihua Zhu Dongxu Chang Shengnan Li Yong Chen State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation China Southern Power Grid Electric Power Research Institute Guangzhou China Electric Power Research Institute Yunan Power Grid Co Ltd Kunming China

ISBN: (纸本)9781665413268

The sending end of HVDC in islanded operation mode is a weak AC system, the security and stability control (SSC) system is very important for the operation of the islanded system. In this paper, the SSC strategy of Xinsong-Dongfang HVDC under islanded mode is deeply analyzed, and the defects and risks of the SSC discrimination logic for the small islanded operation mode is exposed during the RTDS simulation tests, as a result, some of the generators cannot be cut off. In addition, Then the research of the action sequence of SSC reveals the improper time coordination between the small islanded mode signal and the cut-off command. Based on the above work, an optimized scheme to discriminate the small islanded operation mode is proposed, and the correctness and effectiveness are verified through the same RTDS tests. This new method has great significance in the SSC design and implementation in HVDC transmission project with similar techniques.

关键词： HVDC transmission Standardization Power system stability control systems Stability analysis Generators Power grids

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Coordination and Optimization of Multi-controller Parameters in Power system Based on a Sphere Artificial Immune Algorithm

Coordination and Optimization of Multi-controller Parameters...

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第40届中国控制会议

作者： Yu Miao Du Weijie Li Jinglin School of Mechanical-electronic and Automobile Engineering Beijing University of Civil Engineering and Architecture Beijing Engineering Research Center of Monitoring for Construction Safety State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University

Interconnected power system is becoming more and more complex, in order to improve the performance of power system, the number and type of controllers are increasing. The interaction among controllers may be detrimental to the performance of power system, which would weak the performance of controllers. The purpose of this paper is to solve the problem of coordination control among controllers, firstly, a multi-controller parameter coordination model is given. Then, a spherical artificial immune algorithm is proposed to coordinate and optimize parameters among multi-damping controllers. This algorithm can reduce the computational complexity and optimize parameters globally. Finally, this algorithm is verified by the simulation of the four-machine two-area system. Compared with one similar method, simulation results show that this algorithm can effectively realize the coordination control among multi-damping controllers.

关键词： Sphere artificial immune system power system coordination control parameter optimization

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食品系统与气候变化、空气污染之间的相互作用综述（英文）

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Engineering 2025年第1期 215-233页

作者： Chaopeng Hong Rui Zhong Mengyao Xu Peidong He Huibin Mo Yue Qin Danna Shi Xinlei Chen Kebin He Qiang Zhang Shenzhen Key Laboratory of Ecological Remediation and Carbon Sequestration Institute of Environment and Ecology Shenzhen International Graduate School Tsinghua University State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex College of Environmental Sciences and Engineering Peking University Institute of Data and Information Shenzhen International Graduate School Tsinghua University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Ministry of Education Key Laboratory for Earth System Modeling Department of Earth System Science Tsinghua University

Food systems are deeply affected by climate change and air pollution, while being key contributors to these environmental challenges. Understanding the complex interactions among food systems, climate change, and air pollution is crucial for mitigating climate change, improving air quality, and promoting the sustainable development of food systems. However, the literature lacks a comprehensive review of these interactions, particularly in the current phase of rapid development in the field. To address this gap, this study systematically reviews recent research on the impacts of climate change and air pollution on food systems, as well as the greenhouse gas and air pollutant emissions from agri-food systems and their contribution to global climate change and air pollution. In addition, this study summarizes various strategies for mitigation and adaptation, including adjustments in agricultural practices and food supply chains. Profound changes in food systems are urgently needed to enhance adaptability and reduce emissions. This review offers a critical overview of current research on the interactions among food systems, climate change, and air pollution and highlights future research directions to support the transition to sustainable food systems.

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Optimal capacity allocation of integrated agricultural energy network with enhanced geothermal system considering seasonal differences 4

Optimal capacity allocation of integrated agricultural energ...

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4th IEEE Conference on Energy Internet and Energy system Integration, EI2 2020

作者： Si, Yang Chen, Laijun Zhang, Xuelin Chen, Xiaotao Dan, Handing Mei, Shengwei Qinghai University Qinghai Key Lab of Efficient Xining810016 China Qinghai Xining Power Generation Branch of Huanghe Hydropower Xining811600 China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Power Generation Equipment Electric Machinery Department Beijing100091 China

ISBN: (纸本)9781728196060

As an essential direction of agricultural development in the future, the energy demand for facility agriculture varies significantly in different seasons. In this paper, an integrated energy network structure for independent facility agriculture with combined heat and power enhanced geothermal system (CHP-EGS) is proposed. Based on the CHPEGS cogeneration model and stochastic optimization method, the optimal analysis model for capacity allocation of independent facility agricultural integrated energy network is established. Taking the energy supply of facility agriculture in the hot dry rock resource-rich area of the Gonghe basin in China as an example, the optimal allocation scheme and operation characteristics of integrated energy networks for facility agriculture are analyzed considering the difference of seasonal energy consumption. The results show that, under the same capacity configuration, facility agriculture has sufficient energy support in summer, and its income can be increased by expanding the area of greenhouse or developing product processing. In winter, if the basic energy supply-demand of facility agriculture is to be ensured, the emergency heating system should be configured according to about 30% of the maximum heating demand. The optimization model and case analysis can provide meaningful guidance for seasonal energy sources planning of facility agriculture. © 2020 IEEE.

关键词： Agriculture

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Corrigendum to “Hierarchical evaluation framework for coupling effect enhancement of renewable energy and thermal power coupling generation system” [Int. J. Electr. Power Energy Syst. 146 (2023) 108717]

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International Journal of Electrical Power & Energy systems 2024年 158卷

作者： Yao Zou Qianggang Wang Bo Hu Yuan Chi Guiping Zhou Fei Xu Niancheng Zhou Qinqin Xia State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University China State Grid Liaoning Electric Power Company Limited Shenyang Liaoning China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

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