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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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Evaluation Method of Distributed Photovoltaic Admission Capability Based on Voltage Sensitivity and Multi-Scenario power Flow simulation 5

Evaluation Method of Distributed Photovoltaic Admission Capa...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Huangfu, Xiaowen Li, Qiuyan Ding, Yan Guo, Yong Zhao, Hanjie Li, Cuiping Sun, Dapeng Wang, Dongbo Hou, Xiangchen Fan, Jiangchuan Research Institute State Grid Henan Economic Zhengzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Under the Background of 'Carbon peaking and Carbon neutrality' goals, with the rapid development of clean energy, power system is gradually transforming to low-carbon. The proportion of distributed photovoltaic in the distribution network increases rapidly, and the uncertainty of its output and the randomness of the access scheme can easily lead to dramatic changes in line power flow and bring about operational safety problems. Aiming at the problem that high proportion of distributed photovoltaic access affects the safe and stable operation of distribution network, this paper proposes a distributed photovoltaic acceptance ability evaluation method based on voltage sensitivity and multi-scenario power flow simulation. The method uniformly generates the possible access scheme of distributed photovoltaic in the network and simulates the multi-power flow. Finally, by comparing the peak voltage of each scheme, the distributed photovoltaic carrying capacity of distribution network is evaluated. Taking IEEE 14-bus system as an example, the results show that the proposed method can effectively solve the calculation problem of distributed photovoltaic carrying capacity of distribution network. © 2022 IEEE.

关键词： Electric load flow

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Evaluation Method of Distributed Photovoltaic Carrying Capacity in Distribution Network Based on Voltage Sensitivity Ranking 5

Evaluation Method of Distributed Photovoltaic Carrying Capac...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Yu, Haozheng Li, Ke Guo, Xinzhi Quan, Shaoli Zhao, Hanjie Zhu, Xingxu Li, Cuiping Zhu, Wenchao Yan, Jiaqi Gao, Kunqi Research Institute State Grid Henan Economic Zhengzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With the increase of the proportion and dispersion of distributed PV connected to the distribution network, the possibility of extreme PV configuration is decreasing. However, the traditional bearing capacity evaluation includes a large number of extreme photovoltaic configuration scenarios, and the calculation results are too conservative. At the same time, the traditional evaluation method ignores the limitation of reverse power transmission to the main network at the time of large photovoltaic generation in the distribution network. For the above problems, a distributed photovoltaic carrying capacity evaluation method based on voltage sensitivity ranking is proposed. The method includes access scheme modification layer and index inspection layer: the voltage sensitivity ranking method is introduced into the access scheme modification layer to optimize the access scheme in each iteration and eliminate the extreme value distribution of photovoltaic. In the index inspection layer, the voltage deviation index and reverse power transmission of high proportion distributed photovoltaic distribution network are introduced to judge the rationality of the optimization scheme and feed back to the modification layer of the access scheme. The two-layer iteration finally obtains the calculation results of the distributed photovoltaic carrying capacity of the network. This method is closer to reality, reduces the conservatism of calculation and improves the adaptability of calculation. It has certain guiding significance for the photovoltaic planning and construction of the actual distribution network. © 2022 IEEE.

关键词： Bearing capacity

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Two-Stage Planning of Distributed power Supply and energy Storage Capacity Considering Hierarchical Partition control of Distribution Network with Source-Load-Storage

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energy Engineering 2024年第9期121卷 2389-2408页

作者： Junhui Li Yuqing Zhang Can Chen Xiaoxiao Wang Yinchi Shao Xingxu Zhu Cuiping Li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China State Grid Jibei Electric Power Co. Ltd.Electric Power Research InstituteBeijing100045China

Aiming at the consumption problems caused by the high proportion of renewable energy being connected to the distribution network,it also aims to improve the power supply reliability of the power system and reduce the operating costs of the power *** paper proposes a two-stage planning method for distributed generation and energy storage systems that considers the hierarchical partitioning of ***,an electrical distance structural index that comprehensively considers active power output and reactive power output is proposed to divide the distributed generation voltage regulation domain and determine the access location and number of distributed power ***,a two-stage planning is carried out based on the zoning *** the phase 1 distribution network-zoning optimization layer,the network loss is minimized so that the node voltage in the area does not exceed the limit,and the distributed generation configuration results are initially determined;in phase 2,the partition-node optimization layer is planned with the goal of economic optimization,and the distance-based improved ant lion algorithm is used to solve the problem to obtain the optimal distributed generation and energy storage ***,the IEEE33 node systemwas used for *** results showed that the voltage quality was significantly improved after optimization,and the overall revenue increased by about 20.6%,verifying the effectiveness of the two-stage planning.

关键词： Zoning control two-stage planning site selection and capacity determination optimized scheduling improved ant lion algorithm

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Visualization of CNN Transient Voltage Classification Based on Feature Recognition and Enhancement

Visualization of CNN Transient Voltage Classification Based ...

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2021 IEEE Sustainable power and energy Conference, iSPEC 2021

作者： Li, Zhendong Liu, Yutian An, Jun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781665414395

The deep learning algorithm represented by CNN has achieved remarkable results in complex feature extraction, classification and regression. Since the CNN adopts an end-to-end training process, the carrier of acquisition knowledge is a high-dimensional non-linear function, which is hard to understand by humans. Therefore, it is difficult to be widely used in online decision-making engineering scenarios such as the fast assessment of power system transient voltage stability. In this paper, the key input elements extracted by CNN are identified by Grad-CAM, and the key features captured by CNN in the assessment process are enhanced based on AM, so as to finally obtain the visual expression of key areas and variables of the original input data. Besides, a sample construction method based on single line diagram is proposed to improve the visualization effect of Grad-CAM and AM. simulation results and analyses of IEEE 39bus test system demonstrates the effectiveness of the proposed method. © 2021 IEEE.

关键词： Visualization

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Large-Scale Multi-Object Rearrangement

Large-Scale Multi-Object Rearrangement

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Huang, Eric Jia, Zhenzhong Mason, Matthew T. State Grid Liaoning Electric Power Co Ltd Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781538660263

This paper describes a new robotic tabletop rearrangement system, and presents experimental results. The tasks involve rearranging as many as 30 to 100 blocks, sometimes packed with a density of up to 40%. The high packing factor forces the system to push several objects at a time, making accurate simulation difficult, if not impossible. Nonetheless, the system achieves goals specifying the pose of every object, with an average precision of +/- 1 mm and +/- 2 degrees. The system searches through policy rollouts of simulated pushing actions, using an Iterated Local Search technique to escape local minima. In real world execution, the system executes just one action from a policy, then uses a vision system to update the estimated task state, and replans. The system accepts a fully general description of task goals, which means it can solve the singulation and separation problems addressed in prior work, but can also solve sorting problems and spell out words, among other things. The paper includes examples of several solved problems, statistical analysis of the system's behavior on different types of problems, and some discussion of limitations, insights, and future work.

关键词： Planning Task analysis Grasping Robots Annealing Trajectory Markov processes

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Distributed Coordinated Emergency Frequency control Strategy for renewables-Rich power systems Based on Multi-Agent Reinforcement Learning

SSRN

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SSRN 2025年

作者： Sun, Zhenglong Han, Junpeng Chen, Weihan Zhang, Rui Liu, Yong Levron, Yoash Belikov, Juri Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering Technion—Israel Institute of Technology Haifa3200003 Israel Department of Software Science Tallinn University of Technology Akadeemia Tee 15a Tallinn12618 Estonia

With the rapid growth of renewable energy in the power system and the implementation of large-capacity LCC-HVDC projects, the frequency support capability of the grid has been reduced. Simultaneously, the renewables-rich grid faces the risk of high-power shocks due to LCC-HVDC blocking. Existing centralized, single-measure approaches and the model-based emergency frequency control (EFC) methods are facing tremendous challenges. To fill this gap, this paper proposes a frequency emergency control method for renewables-rich grids that coordinates LCC-HVDC emergency power support and load shedding. The coordination of the two stabilization measures is modeled as a decentralized partially observable Markov decision process, and a multi-agent reinforcement learning (MADRL) approach is employed to optimize the power of measures for each stabilization control substation. An MADRL algorithm that integrates the system frequency response model is developed to overcome the problem of inaccurate evaluation of centralized action value in the MADRL algorithm used for EFC. This approach allows for the global optimization of the distributed coordination strategy through centralized training. The effectiveness and adaptability of the proposed method are demonstrated through simulations of the modified IEEE 39-bus system. © 2025, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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Comprehensive Evaluation of Distributed PV Grid-Connected Based on Combined Weighting Weights and TOPSIS-RSR Method

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energy Engineering 2024年第3期121卷 703-728页

作者： Yue Yang Jiarui Zheng Long Cheng Yongnan Zhu Hao Wu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Siping Suburban Power Supply Company State Grid Jilin Electric Power Co.Ltd.Siping136000China

To effectively quantify the impact of distributed photovoltaic(PV)access on the distribution network,this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution(TOPSIS)—rank sum ratio(RSR)(TOPSIS-RSR)*** on the traditional distribution network evaluation system,a comprehensive evaluation system has been *** fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid *** analytic hierarchy process(AHP)was used to determine the subjective weights of the primary indicators,and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment *** subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum *** the distance between the indicators to be evaluated and the positive and negative ideal solutions,the relative closeness ranking,and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different *** setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm,the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.

关键词： Distributed PV grid-connected comprehensive evaluation evaluation indicator system combined subjective and objective empowerment TOPSIS-RSR method

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Interface algorithm development for PHIL simulations of MMC-HVDC devices via real-time impedance matching

Interface algorithm development for PHIL simulations of MMC-...

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作者： Jiang, Shouqi Li, Guoqing Xin, Yechun Wang, Lixin Wang, Weiru Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

power hardware-in-the-loop (PHIL) simulation combines the advantages of digital and physical simulations, which is an effective method to study and analyse modular multi-level-converter-based high-voltage direct current (MMC-HVDC) technology. For the damping impedance method (DIM) interface algorithm, a real-time impedance matching method is proposed to improve the stability and accuracy of the PHIL simulation system. The equivalent impedance between the power interface and the MMC converter station is calculated according to the voltage difference and current between them, and the equivalent impedance parameters of MMC, in both de-blocking and blocking modes, are obtained by the Thevenin equivalent models;then the information of the hardware under test impedance is used to update the DIM interface algorithm. In addition, a compensation control method for interface delay is used to reduce the system error. The excellent performance of stability and accuracy is verified by digital simulation results, which show that the proposed DIM interface algorithm is able to keep the PHIL simulation system stable under different kinds of disturbances and the maximum relative error of the active power © 2019 Institution of Engineering and *** right reserved.

关键词： HVDC power transmission

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Economic Analysis of Peak Regulation of Fire Storage system Based on Northeast Electric Auxiliary Service Market 4

Economic Analysis of Peak Regulation of Fire Storage System ...

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4th International Conference on power and energy technology, ICPET 2022

作者： Zhao, Haiji Zhang, Jingxiang Yu, Jun Jin, Xuezhu Hou, Kaiyuan An, Chenyu Xu, Fei Li, Junhui Northeast Branch of State Grid Corporation of China 110180 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

With the proposal of 'dual carbon' goal, the installed capacity of new energy is increasing rapidly, but the randomness and unpredictability of new energy affect the security of power grid. The stability of power grid requires the thermal power plant to carry out the task of peak regulation, but the thermal power plant to undertake the task of deep peak regulation is not high income, poor enthusiasm. Based on the operation rules of auxiliary service market in Northeast China, this paper studies the deep peak shaving task of energy storage system auxiliary thermal power plant. At the same time, the cost of all-vanadium flow battery was modeled and calculated, and the control strategy of charge and discharge limit of energy storage was adopted based on the depth peak shaving benchmark. The cost model and profit model of the energy storage system are constructed, and the economic analysis of the energy storage system in the combined fire storage system is carried out. Further explore the feasibility of energy storage system combined with thermal power plant peak regulation. © 2022 IEEE.

关键词： Economic analysis

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