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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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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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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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A Disturbance Localization Method for power system Based on Group Sparse Representation and Entropy Weight Method

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energy Engineering 2024年第8期121卷 2275-2291页

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu Liu Minglei Jiang He Wang Shiqiang Li Changchun Power Supply Company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Economic and Technical Research Institute State Grid Jilin Electric Power Co.Ltd.Changchun130022China Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin132012China

This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight *** different electrical quantities are selected as observations in the compressed sensing *** entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance ***,by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances,an improved Joint Generalized Orthogonal Matching Pursuit(J-GOMP)algorithm is utilized for *** reconstructed sparse vectors are divided into three *** at least two parts have consistent node identifiers,the node is identified as the disturbance *** the node identifiers in all three parts are inconsistent,further analysis is conducted considering the weights to determine the disturbance *** results based on the IEEE 39-bus system model demonstrate that the proposed method,utilizing electrical quantity information from only 8 measurement points,effectively locates disturbance positions and is applicable to various disturbance types with strong noise resistance.

关键词： Disturbance location compressed sensing group sparse representation entropy power method GOMP algorithm

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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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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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Flexible linear clock-based distributed self-triggered active power-sharing secondary control of AC microgrids

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Global energy Interconnection 2024年第6期7卷 786-797页

作者： Yulin Chen Xing Huang Guangxin Zhi Shaohua Yang Hongxun Hui Donglian Qi Yunfeng Yan Fengkai Gao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012P.R.China Hainan Institute Zhejiang UniversitySanya572000P.R.China College of Electrical Engineering Zhejiang UniversityHangzhou310027P.R.China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao999078P.R.China

Traditional active power sharing in microgrids,achieved by the distributed average consensus,requires each controller to continuously trigger and communicate with each other,which is a wasteful use of the limited computation and communication resources of the secondary *** enhance the efficiency of secondary control,we developed a novel distributed self-triggered active power-sharing control strategy by introducing the signum function and a flexible linear *** continuous communication–based controllers,the proposed self-triggered distributed controller prompts distributed generators to perform control actions and share information with their neighbors only at specific time instants monitored by the linear ***,this approach results in a significant reduction in both the computation and communication ***,this design naturally avoids Zeno ***,a modified triggering condition was established to achieve further reductions in computation and *** simulation results confirmed that the proposed control scheme achieves distributed active power sharing with very few controller triggers,thereby substantially enhancing the efficacy of secondary control in MGs.

关键词： Active power sharing Distributed secondary control Self-triggered mechanism AC microgrid control efficiency

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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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