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Research on Asymmetric Fault Location of Wind Farm Collection system Based on Compressed Sensing

Energy Engineering 2023年第9期120卷 2029-2057页

作者： Huanan Yu Gang Han Hansong Luo He Wang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Qinhuangdao Power Supply Company State Grid Jibei Electric Power Co.Ltd.Qinhuangdao066099China

Aiming at the problem that most of the cables in the power collection systemof offshore wind farms are buried deep in the seabed,whichmakes it difficult to detect faults,this paper proposes a two-step fault location method based on compressed sensing and ranging *** first step is to determine the fault zone through compressed sensing,and improve the datameasurement,dictionary design and algorithmreconstruction:Firstly,the phase-locked loop trigonometric functionmethod is used to suppress the spike phenomenon when extracting the fault voltage,so that the extracted voltage valuewillnot have a large error due to the voltage ***,theλ-NIM dictionary is designed by using the node impedancematrix and the fault location coefficient to further reduce the influence of pseudo-fault ***,the CoSaMP algorithmis improved with the generalized Jaccard coefficient to improve the reconstruction *** second step is to use the ranging equation to accurately locate the asymmetric fault of the wind farm collection system on the basis of determining the fault *** simulation results show that the proposedmethod ismore accurate than the compressedsensingmethod andimpedancemethod in fault section location and fault location accuracy,the relative error is reduced from 0.75%to 0.4%,and has a certain anti-noise ability.

关键词： Offshore wind farm convergence system compression sensing ranging equation fault location

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Model Predictive control Strategy of Multi-Port Interline DC power Flow controller

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Energy Engineering 2023年第10期120卷 2251-2272页

作者： He Wang Xiangsheng Xu Guanye Shen Bian Jing Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Marketing Department State Grid Jilin Electric Power Co.Ltd.Changchun130061China

There are issues with flexible DC transmission system such as a lack of control freedom over power *** order to tackle these issues,a DC power flow controller(DCPFC)is incorporated into a multi-terminal,flexible DC power *** recent years,a multi-port DC power flow controller based on a modular multi-level converter has become a focal point of research due to its simple structure and robust *** work proposes a model predictive control(MPC)strategy for multi-port interline DC power flow controllers in order to improve their steady-state dynamic ***,the mathematical model of a multi-terminal DC power grid with a multi-port interline DC power flow controller is developed,and the relationship between each regulated variable and control variable is determined;The power flow controller is then discretized,and the cost function and weight factor are built with numerous control *** module sorting method and nearest level approximation modulation regulate the power flow controller;Lastly,theMATLAB/Simulink simulation platformis used to verify the correctness of the establishedmathematicalmodel and the control performance of the suggestedMPC ***,it is demonstrated that the control strategy possesses the benefits of robust dynamic performance,multiobjective control,and a simple structure.

关键词： DC power flow controller model predictive control modular multi-level converter control strategy dynamic performance

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Optimization scheduling method for multiple flexibility resources considering electric vehicle cluster 5

Optimization scheduling method for multiple flexibility reso...

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2023 5th International Conference on Energy, power and Grid, ICEPG 2023

作者： Zhang, Xuan Zhao, Qianyu Wang, Shouxiang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Key Laboratory of Power System Simulation and Control Tianjin300072 China

To unleash the scheduling potential of flexible resources, an enhanced flexibility approach is proposed, which takes into account various flexible resources including electric vehicle (EV) clusters. Initially, the dispatch potential of individual EV users is predicted based on historical data regarding travel habits and charging station parameters. Subsequently, the power and energy-feasible regions are constructed to quantify the flexibility of the EV clusters. To enhance the overall system's operational efficiency and flexibility, various constraints related to flexibility resources are taken into consideration, including the source-grid-load-storage aspects. As a result, a multidimensional flexibility resource supply-demand model is established and the analysis target cascading method is applied to solve this sophisticated model. Finally, the modified system is used to test and analyze the proposed model and method. The results demonstrate the proposed model and method can enhance the operational flexibility of high-proportion new energy distribution networks. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Electric vehicles

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Adhesive surface-enhanced Raman scattering Cu-Au nanoassembly for the sensitive analysis of particulate matter

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Journal of Environmental Sciences 2023年第6期128卷 35-44页

作者： Ning Wang Zhiqiang Gan Fengkui Duan Hui Chen Chensheng Ma Jie Ji Zhenli Sun MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

Surface-enhanced Raman scattering(SERS)has been used in atmospheric aerosol detection as it enables the high-resolution analysis of particulate ***,its use in the detection of historical samples without damaging the sampling membrane while achieving effective transfer and the high-sensitivity analysis of particulate matter from sample films remains *** this study,a new type of SERS tape was developed,consisting of Au nanoparticles(NPs)on an adhesive double-sided Cu film(DCu).The enhanced electromagnetic field generated by the coupled resonance of the local surface plasmon resonances of AuNPs and DCu led to an enhanced SERS signal with an experimental enhancement factor of 10^(7).The AuNPs were semi-embedded and distributed on the substrate,and the viscous DCu layer was exposed,enabling particle *** substrates exhibited good uniformity and favorable reproducibility with relative standard deviations of 13.53%and 9.74%respectively,and the substrates could be stored for 180 days with no signs of signal *** application of the substrates was demonstrated by the extraction and detection of malachite green and ammonium salt particulate *** results demonstrated that SERS substrates based on AuNPs and DCu are highly promising in real–world environmental particle monitoring and detection.

关键词： Surfaced-enhanced Raman scattering Particulate matter Adhesive plasmonic coupling Electromagnetic enhancement

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Convolution Neural Network-based Load Model Parameter Selection Considering Short-term Voltage Stability

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CSEE Journal of power and Energy systems 2024年第3期10卷 1064-1074页

作者： Ying Wang Chao Lu Xinran Zhang School of Technology Beijing Forestry UniversityBeijing 100083China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua UniversityBeijing 100084China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China IEEE

The recently proposed ambient signal-based load modeling approach offers an important and effective idea to study the time-varying and distributed characteristics of power ***,it also brings new *** the load model parameters of power loads can be obtained in real-time for each load bus,the numerous identified parameters make parameter application *** order to obtain the parameters suitable for off-line applications,load model parameter selection(LMPS)is first introduced in this ***,the convolution neural network(CNN)is adopted to achieve the selection purpose from the perspective of short-term voltage *** begin with,the field phasor measurement unit(PMU)data from China Southern power Grid are obtained for load model parameter identification,and the identification results of different substations during different times indicate the necessity of ***,the simulation case of Guangdong power Grid shows the process of LMPS,and the results from the CNNbased LMPS confirm its effectiveness.

关键词： Ambient signal CNN field PMU data load model parameter selection short-term voltage stability

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A Study of Nanosecond Clock Synchronization Methods for Real-Time Transient simulation 6

A Study of Nanosecond Clock Synchronization Methods for Real...

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6th International Conference on Communications, Information system and Computer Engineering, CISCE 2024

作者： Guo, Qi Lu, Yuanhong Zhang, Jingyue Zhang, Jie Guo, Haiping Hu, Binjiang Electric Power Research Institute China Southern Power Grid State Key Laboratory of HVDC China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Electric Power Research Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Guangdong China

ISBN: (纸本)9798350353174

Conventional nanosecond clock synchronization protocols are generally target-type or content-type, the synchronization rate is low, which leads to the increasing of the mean value difference of synchronization, so we propose to study the design of nanosecond clock synchronization method for real-time transient simulation. Combined with the actual clock synchronization requirements, we first calculate the link congestion coefficient, adopt a multilevel approach to strengthen the synchronization rate, set up a multilevel clock synchronization protocol, based on which we determine the clock source quality coefficients and construct a nanosecond clock synchronization model for real-time transient simulation, and use redundancy processing to achieve clock synchronization. The test results show that compared with the high-efficiency phase-color clock synchronization method and the cross-clock synchronization method, the mean synchronization difference of the designed transient simulation nanosecond clock synchronization method is controlled to be less than 0.5, which indicates that the designed clock synchronization method is more efficient, stable, and targeted, and the synchronization effect is significantly improved. © 2024 IEEE.

关键词： Mechanical clocks

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Modeling of Large-Scale Hydrogen Storage system Considering Capacity Attenuation and Analysis of Its Efficiency Characteristics

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Energy Engineering 2024年第2期121卷 291-313页

作者： Junhui Li Haotian Zhang Cuiping Li Xingxu Zhu Ruitong Liu Fangwei Duan Yongming Peng Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Ministry of Science and Technology Electric Power Research Institute of State Grid Liaoning Electric Power Co.Ltd.Shenyang110006China Northeast Electric Power Dispatching Control Center Northeast Branch of State Grid Corporation of ChinaShenyang110180China

In the existing power system with a large-scale hydrogen storage system,there are problems such as low efficiency of electric-hydrogen-electricity conversion and single modeling of the hydrogen storage *** order to improve the hydrogen utilization rate of hydrogen storage system in the process of participating in the power grid operation,and speed up the process of electric-hydrogen-electricity *** article provides a detailed introduction to the mathematical and electrical models of various components of the hydrogen storage unit,and also establishes a charging and discharging efficiency model that considers the temperature and internal gas partial pressure of the hydrogen storage *** models are of great significance for studying and optimizing gas storage *** these models,the performance of gas storage units can be better understood and *** studies are very helpful for improving energy storage efficiency and sustainable *** factors affecting the charge-discharge efficiency of hydrogen storage units are *** integrating the models of each unit and considering the capacity degradation of the hydrogen storage system,we can construct an efficiency model for a large hydrogen storage system and power conversion *** addition,the simulation models of the hydrogen production system and hydrogen consumption system were established in MATLAB/*** accuracy and effectiveness of the simulation model were proved by comparing the output voltage variation curve of the simulation with the polarization curve of the typical hydrogen production system and hydrogen consumption *** results show that the charge-discharge efficiency of the hydrogen storage unit increases with the increase of operating temperature,and H2 and O2 partial voltage have little influence on the charge-discharge *** the process of power conversion system converter rectification operation,its efficiency decreases wi

关键词： Hydrogen storage system simulation modeling electrolyzer fuel cell capacity loss

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Optimal Scheduling for Agricultural Multi-Energy Park with Combined Wind-Solar-Biomass Energy Supply

Optimal Scheduling for Agricultural Multi-Energy Park with C...

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2023 International Conference on power system Technology, powerCon 2023

作者： Wang, Xuan Zhao, Qianyu Wang, Shouxiang Tianjin University Key Laboratory of Smart Grid of Ministry of Education Tianjin Key Laboratory of Power System Simulation and Control Tianjin China

ISBN: (纸本)9798350300222

Agricultural multi-energy park (AMEP) is an essential pathway for upgrading and transforming traditional agriculture, and the utilization of renewable energy can contribute to its sustainable development. In this context, this paper proposes an optimal scheduling method for AMEP with combined wind-solar-biomass energy supply. The biomass energy contained in waste from the user side can be reused and combined with wind and solar energy to achieve a diversified supply of renewable energy. Besides, a biogas heat-electricity cogeneration with adjustable thermoelectric ratio is introduced, enhancing the flexibility of electricity and heating supply for AMEP. In addition, an adder carbon tax mechanism is considered to incentivize energy conservation and emissions reduction of AMEP. simulation results demonstrate that the proposed optimal scheduling model can more effectively utilize renewable energy, leading to significant advantages in enhancing the flexibility, economy, and low carbon of AMEP. © 2023 IEEE.

关键词： Biomass

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Optimal Scheduling for Multi-energy system Considering Coupling of Molten Medium Hydrogen Production and Pipeline Energy Storage 3

Optimal Scheduling for Multi-energy System Considering Coupl...

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3rd New Energy and Energy Storage system control Summit Forum, NEESSC 2023

作者： Wang, Xuan Zhao, Qianyu Wang, Shouxiang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin Key Laboratory of Power System Simulation and Control Tianjin China

ISBN: (纸本)9798350309348

Existing hydrogen production technologies always have weakness of large carbon emission, and there are still many research gaps in coupling with multi-energy flow. To this end, this paper proposes an optimal scheduling model for multi-energy system (MES) considering coupling of molten medium hydrogen production (mmH2P) and pipeline energy storage (PES). The mmH2P is introduced into MES to achieve the in-situ green conversion of gas and the zero-carbon-emission hydrogen production while obtaining solid carbon. Further, a Refined PtGmmH2P mode is proposed combining mmH2P, power-to-gas and hydrogen storage. Besides, the PES due to different transmission inertia of energy flows is considered, and its coupling coordination promotion with Refined PtG-mmH2P is further analyzed. Case study proves that the proposed scheduling model of MES can achieve the win-win of economy, low carbon and high renewable energy consumption rate. ©2023 IEEE.

关键词： Pipelines

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Dynamic Economic Scheduling with Self-Adaptive Uncertainty in Distribution Network Based on Deep Reinforcement Learning

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Energy Engineering 2024年第6期121卷 1671-1695页

作者： Guanfu Wang Yudie Sun Jinling Li Yu Jiang Chunhui Li Huanan Yu He Wang Shiqiang Li State Grid Liaoning Electric Power Co. Ltd.Liaoyang Power Supply CompanyLiaoyang111000China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Jilin Northeast Electric Power University Science and Technology Development Co. Ltd.Jilin132012China

Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which aredifficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamicdecisions continuously. This paper proposed a dynamic economic scheduling method for distribution networksbased on deep reinforcement learning. Firstly, the economic scheduling model of the new energy distributionnetwork is established considering the action characteristics of micro-gas turbines, and the dynamic schedulingmodel based on deep reinforcement learning is constructed for the new energy distribution network system with ahigh proportion of new energy, and the Markov decision process of the model is defined. Secondly, Second, for thechanging characteristics of source-load uncertainty, agents are trained interactively with the distributed networkin a data-driven manner. Then, through the proximal policy optimization algorithm, agents adaptively learn thescheduling strategy and realize the dynamic scheduling decision of the new energy distribution network ***, the feasibility and superiority of the proposed method are verified by an improved IEEE 33-node simulationsystem.

关键词： Self-adaptive the uncertainty of sources and load deep reinforcement learning dynamic economic scheduling

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