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

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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A Distributed Photovoltaics Ordering Grid-Connected Method for Analyzing Voltage Impact in Radial Distribution Networks

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energy Engineering 2024年第10期121卷 2937-2959页

作者： Cuiping Li Kunqi Gao Can Chen Junhui Li Xiaoxiao Wang Yinchi Shao Xingxu Zhu 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

In recent years,distributed photovoltaics(DPV)has ushered in a good development situation due to the advantages of pollution-free power generation,full utilization of the ground or roof of the installation site,and balancing a large number of loads ***,under the background of a large-scale DPV grid-connected to the county distribution network,an effective analysis method is needed to analyze its impact on the voltage of the distribution network in the early development stage of ***,a DPV orderly grid-connected method based on photovoltaics grid-connected order degree(PGOD)is *** method aims to orderly analyze the change of voltage in the distribution network when large-scale DPV will be ***,based on the voltagemagnitude sensitivity(VMS)index of the photovoltaics permitted grid-connected node and the acceptance of grid-connected node(AoGCN)index of other nodes in the network,thePGODindex is constructed to determine the photovoltaics permitted grid-connected node of the current photovoltaics grid-connected state ***,a photovoltaics orderly grid-connected model with a continuous updating state is constructed to obtain an orderly DPV grid-connected *** simulation results illustrate that the photovoltaics grid-connected order determined by this method based on PGOD can effectively analyze the voltage impact of large-scale photovoltaics grid-connected,and explore the internal factors and characteristics of the impact.

关键词： Radial distribution network distributed photovoltaics photovoltaics grid-connected order degree electrical distance photovoltaics action area

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

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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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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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Optimal Allocation Strategy of Frequency Modulation power for Multiple energy Storage systems Considering Dual Constraints of Frequency Modulation Cost and Frequency Modulation Capability

Optimal Allocation Strategy of Frequency Modulation Power fo...

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2023 IEEE International Conference on power Science and technology, ICPST 2023

作者： Peng, Yongming Si, Wenbo Zhao, Haiji Lv, Changlin Liu, Chengzhe Xu, Fei Hao, Ling Li, Junhui Northeast Branch of State Grid Corporation of China Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Beijing China

ISBN: (纸本)9798350311358

Aiming at the power allocation problem of multiple energy storage power stations distributed at different locations in the regional power grid participating in frequency modulation services, a frequency modulation power optimization allocation strategy for multiple energy storage systems considering the dual constraints of frequency modulation cost and frequency modulation capability is proposed. Firstly, a multi-objective optimization allocation model for frequency modulation power is constructed with the minimum frequency modulation cost and minimum deviation of the state of charge (SOC) for energy storage power plants. Secondly, using Pareto based multi-objective genetic algorithm (MOGA) to solve the model, introduce adaptive weight coefficients and fuzzy membership functions for each objective function regarding the frequency regulation demand of the power grid and the deviation of the SOC of energy storage stations, construct a comprehensive satisfaction function to make decisions on the most advantageous points on the Pareto frontier, in order to obtain the optimal output of each energy storage station that can adapt to the frequency regulation requirements of the power grid. Finally, simulation analysis was conducted on the proposed strategy in this article, and the results showed that: The proposed strategy not only enhances the frequency regulation economy of the regional power grid, but also helps to restore the SOC of the energy storage power station. © 2023 IEEE.

关键词： Frequency modulation

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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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A Joint Estimation Method of SOC and SOH for Lithium-ion Battery Considering Cyber-Attacks Based on GA-BP

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Computers, Materials & Continua 2024年第9期80卷 4497-4512页

作者： Tianqing Yuan Na Li Hao Sun Sen Tan Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Department of Electrical Engineering Northeast Electric Power UniversityJilin132012China College of Information and Control Engineering Jilin Institute of Chemical TechnologyJilin132022China Center for Research on Microgrids Department of EnergyAalborg UniversityAalborg9220Denmark

To improve the estimation accuracy of state of charge(SOC)and state of health(SOH)for lithium-ion batteries,in this paper,a joint estimation method of SOC and SOH at charging cut-off voltage based on genetic algorithm(GA)combined with back propagation(BP)neural network is proposed,the research addresses the issue of data manipulation resulting ***,anomalous data stemming fromcyber-attacks are identified and eliminated using the isolated forest algorithm,followed by data ***,the incremental capacity(IC)curve is derived fromthe restored data using theKalman filtering algorithm,with the peak of the ICcurve(ICP)and its corresponding voltage serving as the health factor(HF).Thirdly,the GA-BP neural network is applied to map the relationship between HF,constant current charging time,and SOH,facilitating the estimation of SOH based on ***,SOC estimation at the charging cut-off voltage is calculated by inputting the SOH estimation value into the trained model to determine the constant current charging time,and by updating the maximum available *** show that the root mean squared error of the joint estimation results does not exceed 1%,which proves that the proposed method can estimate the SOC and SOH accurately and stably even in the presence of false data injection attacks.

关键词： Lithium-ion batteries state of charge state of health cyber-attacks genetic algorithm back propagation neural network

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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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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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