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2024 Boao New power system International Forum - power system and New energy technology Innovation Forum, NPSIF 2024

作者： Cao, Kangyangyong Xing, Hongquan Zhang, Yilin Xue, Chuan Li, Feiyi Gao, Ziyang State Grid Changchun Power Supply Company Changdian Group Cable Engineering Branch Jilin Changchun130000 China State Grid Changchun Power Supply Company Operation Maintenance Department Jilin Changchun130000 China Northeast Electric Power University Engineering Training and Teaching Center Jilin Jilin132011 China Jilin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132011 China

ISBN: (纸本)9798331504557

With the continuous improvement and development of urban power grid structures, it is inevitable that cable lines will need to be renovated and replaced. In the process of cable construction, the traditional cable cutting process involves independent operations, requiring a large amount of equipment and occupying a large area. Workers need to wear protective clothing when cutting, which is inflexible and inefficient. This approach is no longer adequate for the diverse and complex construction sites of today. To this end, a new type of integrated power cable cutting device is specially designed and developed, which combines testing and cutting, reducing the use of cable cutting tools. The newly developed circuit cutter is designed with features such as compact size, high structural strength, good cutting effect, strong adaptability, and remote control function. It can significantly improve the safety and convenience of cable cutting operations, which is of positive significance for improving construction quality and efficiency and ensuring the personal safety of operators. © 2024 IEEE.

关键词： Remote control

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Probabilistic power Flow Calculation of AC/DC Hybrid system Based on Cumulant Method

arXiv

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arXiv 2022年

作者： Sun, Yinfeng Xia, Dapeng Gao, Zichun Wang, Zhenhao Li, Guoqing Lu, Weihua Wu, Xueguang Li, Yang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China Global Energy Interconnection Research Institute Beijing102211 China Beijing Key Laboratory of DC Power Grid Technologies and Simulation Beijing102211 China

The operating conditions of the power system have become more complex and changeable. This paper proposes a probabilistic power flow calculation method based on the cumulant method for the voltage sourced converter high voltage direct current (VSC-HVDC) hybrid system containing photovoltaic grid-connected systems. Firstly, the corresponding control mode is set for the converter, including droop control and master-slave control. The unified iterative method is used to calculate the conventional AC/DC power flow. Secondly, on the basis of the probability model of load and photovoltaic output, based on the aforementioned power flow results, use correlation coefficient matrix of this paper will change the relevant sample into independent sample，the cumulants of the load and photovoltaic output are obtained;Then, the probability density function (PDF) and cumulative distribution function (CDF) of state variables are obtained by using Gram-Charlie series expansion method. Finally, the mean value and standard deviation of node voltage and line power are calculated on the modified IEEE 34-bus and IEEE 57-bus transmission systems. The algorithm can reflect the inherent uncertainty of new energy sources, and replace the complex convolution operation, greatly improving the calculation speed and the convergence. Copyright © 2022, The Authors. All rights reserved.

关键词： Electric load flow

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Planning of active power distribution network based on source-network-load collaborative optimization

Planning of active power distribution network based on sourc...

引用

The 16th IET International Conference on AC and DC power Transmission (ACDC 2020)

作者： Z. Jiang Q. Yu A. Li Y. Xiong G. Long Y. Liu Ministry of Education (Northeast Electric Power University) Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin 132012 China Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing China

With the fast development of renewable energy generation, the randomness and volatility seriously threaten the stability of the power system. In order to improve the consumption rate of renewable energy and the economic benefit, the source-network-load collaborative optimization is put forward and widely used in the power system. And the active power distribution network which consists of the energy storage devices and flexible load is the best carrier to realize it. Based on the active power distribution network planning, this paper firstly designs an economic index covering construction cost and operation cost as the optimization objective. Then with the physical constraints consisting of the physical features of generation units, energy storage devices and flexible load, the source-network-load collaborative optimization model of active power distribution network is established. Finally, a case of city distribution network is presented to verify the effect of source-network-load collaborative optimization and the efficiency of the optimization model.

关键词： power distribution planning power distribution reliability distributed power generation power distribution economics renewable energy sources optimisation energy storage

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Design of Slot Coupled Microstrip Bandpass Filter Based on Defected Ground Structure (DGS)

Design of Slot Coupled Microstrip Bandpass Filter Based on D...

引用

International Conference on Optical Communications and Networks (ICOCN)

作者： Xuemei ZHENG Xudong WANG Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education(Northeast Electric Power University) Jilin China College of Electrical Engineering Northeast Electric Power University Jilin China

In this paper, a slot-coupled microstrip line filter based on Defected Ground Structure (DGS) is designed. It is a band-pass filter. It is simulated by HFSS software. At the same time, the equivalent circuit of the designed filter is extracted by ADS software. The performance of the filter is verified by comparing the simulation results of the two filters.

关键词： Band-pass filters Microstrip filters Microwave filters Resonator filters Optical filters power harmonic filters Equivalent circuits

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Visual simulation Platform for Optimization Configuration and Coordinated control of Thermal-Storage Joint Frequency Regulation

Visual Simulation Platform for Optimization Configuration an...

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IEEE Conference on energy Internet and energy system Integration (EI2)

作者： Cuiping Li Ziyun Zong Zheng Fang Zhijun Li Ping Zhang Qinglin Sui Xingxu Zhu Junhui Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University China Huadian Electric Power Research Institute Co. LTD Hangzhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

First, analyze the frequency modulation demand situation and propose an optimized configuration method for coordinating the control strategy of a thermal-mixed energy storage system to assist thermal power units in frequency modulation. Then, based on the proposed optimized configuration method and coordination control strategy, develop a visualization simulation platform for the optimized configuration and coordinated control of thermal energy storage joint frequency modulation using Matlab App Designer. Finally, the case study is based on the measured data from a 300 MW thermal power unit in a certain region of China, and it conducts an analysis to verify the effectiveness of the visualization simulation platform.

关键词： Visualization Frequency modulation Data visualization Thermal conductivity Thermal analysis MATLAB Frequency control Optimization Thermal energy energy storage

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Design of Metamaterial Microstrip Array Antenna

Design of Metamaterial Microstrip Array Antenna

引用

International Conference on Optical Communications and Networks (ICOCN)

作者： Xuemei ZHENG Zhiqi RONG Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China College of Electrical Engineering Northeast Electric Power University Jilin China

In this paper, a new type of metamaterial structure based on open resonant ring is proposed. On this basis, a microstrip array antenna based on metamaterial is designed and simulated by HFSS.

关键词： Microstrip antenna arrays Microstrip antennas Metamaterials Microstrip Magnetic materials

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Long-Foresight-Term power Prediction Considering the Evolution of Significant Weather Information for Wind Farm Cluster

SSRN

引用

SSRN 2023年

作者： Yang, Mao Jiang, Renxian Zhang, Xiaobin Huang, Yutong Guo, Yunfeng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Gansu Electric Power Company Gansu730030 China

The current wind power prediction horizon extends up to 7 days, and the research on power prediction for the 8 to 15 day-ahead is still lacking. However, with the increasing proportion of renewable energy in novel power systems, breaking through the long-foresight-term power prediction barrier is crucial support for guaranteeing the secure and stable operation of the power system. To address the aforementioned issues, this study presents a power prediction method for wind farm cluster (WFC) in long-foresight-term, based on the poor availability of existing numerical weather prediction (NWP) in long-foresight-term. Firstly, a significant wind process identification method considering autocorrelation analysis is employed to predict future power trends, and an optimal method is explored for power generation (PG) prediction in the 8 to 15 day-ahead. Secondly, under the constraint of predicted PG, the power corresponding to the historical similar wind process is selected as the predicted value. Finally, the proposed methodology is applied to a WFC in Gansu Province, China. The results indicate that the proposed method reduces the average RMSE and MAE by 4.15% and 3.3%, respectively, effectively tracking the changing trends of wind power. Moreover, it achieves long-foresight-term prediction and enhances the reliability of the prediction. © 2023, The Authors. All rights reserved.

关键词： Numerical methods

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Partial Discharge Fault Diagnosis in power Transformer Based on Symplectic Geometry Mode Decomposition and Optimized Convolutional Neural Networks

SSRN

引用

SSRN 2023年

作者： Shang, Haikun Liu, Zhidong Huang, Tao Zhang, Ranzhe Li, Feng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Electric Power Research Institute Xinjiang830011 China

To address challenges in feature extraction, such as difficulty in accurately extracting valuable information and low recognition accuracy during pattern recognition, this paper proposes a novel method for power transformer PD fault diagnosis based on symplectic geometry mode decomposition (SGMD) and optimized Convolutional Neural Networks (CNN). First, three different types of power transformer PD fault signals are extracted, namely floating discharge (FD), corona discharge (CD), and bubble discharge (BD), in a laboratory environment. Second, PD signals are decomposed using SGMD to obtain different symplectic geometric components (SGCs). Afterwards, approximate entropy (ApEn) values of each SGC are calculated as PD feature parameters. Subsequently, the sparrow search algorithm (SSA) algorithm is utilized to optimize and configure the CNN parameters to enhance the diagnostic accuracy and stability. Finally, the obtained feature parameters are fed into the optimized CNN for fault diagnosis. simulation and experimental analysis verify the effectiveness of the proposed method. © 2023, The Authors. All rights reserved.

关键词： Mode decomposition

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Thermal power and energy Storage Combined Frequency Modulation Optimization control considering Frequency Modulation Loss Cost and Recovery of State of Charge

Thermal Power and Energy Storage Combined Frequency Modulati...

引用

power Science and technology (ICPST), IEEE International Conference on

作者： Yeping Yin Liang Zhang Zheng Fang Xiaolong Wang Diyang Wang Ziyun Zong Ping Zhang Junhui Li Huadian Electric Power Research Institute Co. LTD Hangzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Large-scale new energy grid-connected challenges the frequency modulation of the power grid. How to meet the needs of the system’s frequency modulation while taking into account the economic benefits of thermal power unit wear and energy storage life loss has become an urgent problem to be solved. Therefore, an optimal control strategy of thermal power and energy storage combined with frequency modulation loss cost and Recovery of State of Charge is proposed in this paper. Firstly, the optimal power distribution model of thermal power and energy storage is constructed. Then, taking the minimum frequency modulation loss cost and the minimum SOC offset as the optimization objectives, the remaining frequency modulation capacity and energy storage output constraints of the system were considered comprehensively to complete the frequency modulation power distribution between the thermal power-energy storage combined system. Finally, based on the measured data, the secondary frequency modulation strategy is simulated. The simulation results show that the proposed strategy has good economy, restores the SOC of energy storage, and reduces the frequency modulation loss of the system.

关键词： Frequency modulation Costs simulation power distribution State of charge Resource management Sustainable development

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Exergic Perspective of Low Carbon Economy Dispatch of Carbon Capture power Plant and power to Gas Synergistic Operation

SSRN

引用

SSRN 2023年

作者： Wang, Xiuyun Zhang, Wanyu Wang, Rutian Wen, Xiangyun Cui, Benwang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to improve the system economy and low carbon, the power to gas-carbon capture power plants joint operation system is introduced in the integrated energy system to reduce carbon emissions while increasing the consumption of renewable energy. From the perspective of exergy, both the quantity and quality of energy were taken into account, the calculation methods of different exergy values of energy flow were refined, and the sub-model of exergy flow calculation was established. To further achieve low carbon emission reduction, the costs of carbon emission trading, carbon capture energy consumption and carbon storage were included in the non-energy costs, and the exergoeconomic cost distribution model was established. Compared with the traditional pricing method, this paper considers the impact of carbon cost and energy grade difference on unit exergic cost of cooling, heating and electricity in the system, reflecting the principle of higher quality and higher price. Finally, the constructed model is solved with the total cost as the objective function. The simulation example shows that the proposed scheduling method can improve the low-carbon emission reduction capacity of the system and achieve reasonable cost distribution. © 2023, The Authors. All rights reserved.

关键词： Carbon capture

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