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Multi-Level Dynamic Weight Optimization Scheduling Strategy for Flexible Interconnected Distribution Substations Based on Three-Port SNOPs

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Energies 2025年第10期18卷 2421-2421页

作者： Pang, Dan Wang, Zhipeng Shi, Xiaomeng Ge, Jinming Wang, Zhenhao Yi, Hongyin Zhuang, Yan Yin, Yu Wang, Wei State Grid Changchun Power Supply Company Changchun130021 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Techn ogy Northeast Electric Power University ol Jilin132012 China

By using a soft normal open point (SNOP) to connect multiple distribution networks to form a flexible interconnected distribution system (FIDS), the power distribution can be flexibly and controllably regulated among distribution stations, but it is also necessary to ensure the system’s operational efficiency and maintain voltage quality when carrying out optimal scheduling. In this paper, a FIDS optimal scheduling strategy considering dynamic weight grading is proposed. By considering the voltage overrun status of each distribution station area, the voltage level of each distribution station area is divided into three voltage overrun situations, including normal operation, safe boundary, and protection boundary levels, and an optimal scheduling model applicable to the multi-level operation of the FIDS is constructed. In order to adapt to the coordinated optimal operation objectives under different overrun levels, an optimal operation strategy considering the dynamic weights of system operation cost, voltage deviation, customer satisfaction, and SNOP regulation capability is proposed and finally simulated and verified using the improved IEEE33 node arithmetic case. The results verify the effectiveness of the method proposed in this paper in improving the system’s operational efficiency and node voltage quality. © 2025 by the authors.

关键词： Scheduling algorithms

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Numerical simulation of surface discharge in oil paper insulation based on finite element method and cellular automata

Numerical simulation of surface discharge in oil paper insul...

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22nd International Symposium on High Voltage Engineering (ISH 2021)

作者： J. Chen Y. Zhou Y. Zhang X. Huang L. Zhang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing People's Republic of China

Surface discharge of oil paper insulation is one of the insulation defects in converter transformers. However, the mechanism of surface discharge in oil paper insulation remains unclear. A novel method of surface discharge in oil paper insulation based on finite element method (FEM) and cellular automata (CA) was proposed to study the mechanism and fractal characteristics. Firstly, the needle-plate electrode without normal component of electric field density was adopted as the geometric model, on which the unstructured triangular mesh generation was performed. Then, the FEM is applied to compute the distribution of potential, electric field and charge in the simulated field, which performed better than finite difference method (FDM) in accuracy and complexity of computation. Finally, the CA model was adopted to simulate the development of surface discharge with the electric field threshold. The results indicated that the numerical simulation model based on FEM-CA can simulate the dynamic process and fractal characteristics of surface discharge in oil paper insulation. According to the fractal dimension curve, the surface discharge can be obviously divided into three stages: inception, propagation and flashover. With the increase of applied voltage, the fractal dimension of surface discharge increases in inception stage, then decreases in propagation stage, and finally increases in flashover stage.

关键词： cellular automata electric fields electrodes finite difference methods finite element analysis flashover fractals mesh generation power transformer insulation surface discharges transformer oil

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Emerging strategies of anti-scaling cathodes for direct saline water electrolysis

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Separation and Purification Technology 2025年 374卷

作者： Xia, Fan Wu, Shuai Wang, Weilong Luo, Jiayi Zhao, Yuchen Sheng, Hongyi Zhao, Kun Li, Hongli Yu, Hongtao School of Environmental Science and Technology Dalian University of Technology Dalian116024 China Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China College of Environmental Science and Engineering North China Electric Power University Beijing102206 China Petrochina Lanzhou Petrochemical Company Lanzhou730060 China

Direct saline water electrolysis has potential applications in industrial wastewater treatment, circulating cooling water softening, hydrogen evolution from seawater, lithium extraction from salt lakes, and so on. However, direct electrolysis is getting into trouble with cathodic scaling. This review focuses on recent advancements of anti-scaling methods and their working mechanisms, such as isolating Ca2+ and Mg2+ from cathodes, confining OH− to cathodic Lewis-acid sites or repelling OH− away from cathodes, intensifying homogeneous nucleation of CaCO3 and Mg(OH)2 in solution, making automatic detachment of scale crystals from cathodes feasible. This review provides a comprehensive summary for how to endow cathodes anti-scaling function, which is expected to promote the practical application of direct saline water electrolysis. © 2025

关键词： Brines

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Wind power Forecasting Considering Data Privacy Protection: A Federated Deep Reinforcement Learning Approach

arXiv

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arXiv 2022年

作者： Li, Yang Wang, Ruinong Li, Yuanzheng Zhang, Meng Long, Chao The Key Laboratory of Modern Power System Simulation Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China The State Grid Jilin Electric Power Co. Ltd Jilin Power Supply Company Chuanying District Jilin132001 China The School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China The School of National Key Laboratory of Science and Technology Vessel Integrated Power System Naval University of Engineering Wuhan430033 China The School of Water Energy and Environment Cranfield University United Kingdom

In a modern power system with an increasing proportion of renewable energy, wind power prediction is crucial to the arrangement of power grid dispatching plans due to the volatility of wind power. However, traditional centralized forecasting methods raise concerns regarding data privacy-preserving and data islands problem. To handle the data privacy and openness, we propose a forecasting scheme that combines federated learning and deep reinforcement learning (DRL) for ultra-short-term wind power forecasting, called federated deep reinforcement learning (FedDRL). Firstly, this paper uses the deep deterministic policy gradient (DDPG) algorithm as the basic forecasting model to improve prediction accuracy. Secondly, we integrate the DDPG forecasting model into the framework of federated learning. The designed FedDRL can obtain an accurate prediction model in a decentralized way by sharing model parameters instead of sharing private data which can avoid sensitive privacy issues. The simulation results show that the proposed FedDRL outperforms the traditional prediction methods in terms of forecasting accuracy. More importantly, while ensuring the forecasting performance, FedDRL can effectively protect the data privacy and relieve the communication pressure compared with the traditional centralized forecasting method. In addition, a simulation with different federated learning parameters is conducted to confirm the robustness of the proposed scheme. Copyright © 2022, The Authors. All rights reserved.

关键词： Electric load dispatching

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Distribution system fault location method using reclosure-generating traveling waves

Distribution system fault location method using reclosure-ge...

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2020 IEEE power and Energy Society General Meeting, PESGM 2020

作者： Dong, Xinzhou Wang, Haozong Xin, Zeyu Shi, Shenxing Wang, Bin Tsinghua University State Key Lab. of Control and Simulation of Power System and Generation Equipment Dept. of Electrical Engineering Beijing China

ISBN: (纸本)9781728155081

Fault location in distribution systems includes 2 subtasks: fault distance estimation and fault section identification. This paper presents a fault location method based on reclosure-generating traveling waves and system topology. Firstly, the reclosure-generating traveling waves under normal and fault conditions are analyzed to find the traveling wave reflected by fault point, through which the fault distance could be estimated. Secondly, we propose a fault section identification method by comparing real measured traveling waves with simulated traveling waves with different potential fault points. Noticing that only time information of traveling waves rather than their magnitude is necessary, instead of using electromagnetic transient simulation, we also present a simplified simulation algorithm that only focuses on the arrival time of traveling waves based on priority queue. Experiments demonstrate that the proposed method can locate fault points in high accuracy with low computational burden. © 2020 IEEE.

关键词： Location

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Effect of carbon black contents on polypropylene-based semi-conductive shielding materials for power cables

Effect of carbon black contents on polypropylene-based semi-...

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Tsinghua University-IET Electrical Engineering Academic Forum 2024

作者： Cheng Tong Xiyu Zhang Shangshi Huang Si Qin Chi Yao Yong Liang Qi Li Jinliang He Yonggui Zhao Jianjian Xu School of Electrical Engineering Guangxi University Nanning Guangxi People's Republic of China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing People's Republic of China HJ Polymer China Co. Ltd Jiangyin Jiangsu People's Republic of China State Grid Linyi Power Company Linyi Shandong People's Republic of China

ISBN: (数字)9781837242139

Polypropylene-based semi-conductive shielding materials have emerged as significant areas of research in recent years. This paper has investigated the influence of carbon black contents on the properties of semi-conductive composites. Four specimens have been prepared that impact-resistant polypropylene as the matrix and conductive carbon black as the filler with varying carbon black mass fractions (10%, 20%, 30%, and 40%). The properties of semi-conductive composites have been evaluated including thermal, microstructural, mechanical, and electrical. The findings indicate that carbon black contents significantly influence the mechanical and electrical properties, while its effect on thermal properties are less pronounced. Overall, the semi-conductive composites exhibit optimal properties when the carbon black mass fraction is 30%.

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A New power system Flexibility Evaluation Method Considering Wind Curtailment

A New Power System Flexibility Evaluation Method Considering...

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Electrical Engineering (CIYCEE), IEEE China International Youth Conference on

作者： Junyi Tang Xuetao Dong Yanhui Qin State Grid Xinjiang Electric Power Research Institute Urumqi China Xinjiang Key Laboratory of Whole Process Simulation for Power System Urumqi China

ISBN: (纸本)9781665400657

Aiming at the problems of wind power casting and lack of flexibility in new power system after large-scale wind power integration, a flexibility evaluation method considering wind power curtailment means is proposed in this paper. Firstly, the flexibility demand of wind power system is reflected by the net load curve, and the flexibility supply of conventional units is evaluated by probabilistic production simulation. Then, based on the probability distribution model of effective capacity, the flexibility indicators are defined according to the supply and demand relationship. On the basis of the probability distribution of downward flexibility shortage, the distribution of wind power curtailment is completed, and the flexibility indicators considering the means of wind power curtailment are obtained through flexibility evaluation. Finally, based on the IEEE RTS-24 system data, the proposed indicators are simulated and analyzed to verify the effectiveness of the proposed evaluation method.

关键词： Wind Supply and demand simulation Production Wind power generation Probability distribution Regulation

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Adaptability Study on Out-of-Step Separation Devices of Complex Multiinfeed AC/ DC power systems

Adaptability Study on Out-of-Step Separation Devices of Comp...

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International Conference on power system Technology (powerCON)

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

ISBN: (纸本)9781665407380

The power flow distribution of the GuangxiGuangdong AC transmission section (GX-GD section) has changed greatly as Kunliulong and Lugaozhao three-terminal HVDC projects have been put into operation, and it is necessary to study on the adaptability of out-of-step separation devices. Based on the real primary system, an equivalent system model is proposed in this paper which can accurately locate the oscillation center and calculate the minimum voltage at the measuring point. Dynamic real-time simulation is carried out for various types and different principles of out-of-step separation devices. Typical problems such as unreliable out-of-step locking criterion in the fault process and device refusing to move when the oscillation center is located at the device installation point are found and solved At the same time, based on the power grid panoramic simulation test technology and the actual configuration of out-of-step separation devices, the problems in the coordination of out-of-step devices near the GX-GD section are comprehensively studied, and the suggestions of putting the wide area out-of-step separation system into operation as soon as possible are put forward. The improvement and optimization measures proposed in this paper have been applied in the real system.

关键词： Adaptation models Voltage measurement power measurement power system dynamics Stability criteria power system stability power grids

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Natural Gas Load Forecasting Based on Multi-Stage Model Identification

Natural Gas Load Forecasting Based on Multi-Stage Model Iden...

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IEEE International Conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Pengbin Zhang Hongrui Wang Kunpeng Xing Mingzhe Yuan State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China GUANGZHOU INSTITUTE OF INDUSTRIAL INTELLIGENCE Guangzhou China China Nuclear Power Engineering Co. Ltd. Shenzhen China

ISBN: (数字)9798331506056

ISBN: (纸本)9798331506063

Natural gas load forecasting is crucial for the safe operation of urban natural gas. Based on the system identification method, the short-term natural gas load forecasting is studied in the paper. Employing a multi-stage identification framework, the initial values of the model parameters using the least squares and the instrumental variables method, while the model parameters are further optimized by the prediction error method to improve the accuracy of the model identification. The proposed method is validated by the simulation based on the public natural gas data in the U.S., demonstrating the algorithm's effectiveness in forecasting the daily natural gas load effectively.

关键词： Load forecasting simulation Load shedding Predictive models Prediction algorithms system identification Reliability Forecasting Natural gas Load modeling

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A DC-DC converter anti-interference system based on T-S fuzzy sliding mode control

A DC-DC converter anti-interference system based on T-S fuzz...

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2021 International Conference on Energy, power and Electrical Engineering, EPEE 2021

作者： Yu, Siqi Zhao, Yan Wang, Yuri You, Fucai Bai, Jinyu Shenyang Institute of Engineering Shenyang China Key Laboratory of Regional Multi-energy System Integration and Control of Liaoning Province Shenyang China Benxi High-tech Industrial Development Zone Power Supply Branch State Grid Liaoning Electric Power Co. Ltd. Benxi China

With the wide application of switching power supply, the research on its control method has become a hot spot at present, and DC-DC converter is one of the switching power supplies with the highest frequency. However, in daily use, the input voltage of the converter may fluctuate greatly, so it is very important to obtain a stable DC output voltage. Therefore, this paper proposes a nonlinear composite control strategy method based on T-S fuzzy sliding mode control for the system disturbance problem of DC-DC converter. After establishing the T-S fuzzy model, the variable structure control theory is added, and the sliding mode surface and sliding mode control law are designed and their stability is proved by Lyapunov function. The simulation results show that the proposed control method has a good control effect and can keep the system robust. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： DC-DC converters

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