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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cui, Yang Zhang, Jiarui Zhong, Wuzhi Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

With the rapid growth of Photovoltaic (PV) power capacity, how to improve the accuracy of PV output prediction becomes an intensive problem. This paper proposes a prediction model to reduce the error of prediction by combining gray correlation theory to select similar days with BP neural network. Firstly, the factors of weather between sample days selected as similar days and forecast days are calculated to find three similar days which have the highest relevance. After that, different weights are assigned to historical data of similar days according to the degree of relevance from large to small and back propagation (BP) neural network is combined to predict the output of PV. Finally, based on the actual measurement data of a photovoltaic power station in Northeast China, this paper validates the positive effects of this model on MATLAB simulation platform. Results show that selecting similar days by grey correlation and combining BP neural network can effectively improve the prediction accuracy of short-term PV output. © 2019 IEEE.

关键词： simulation platform

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Peaking Demand Analysis and Visualization simulation Platform Implementation of High Proportion of Wind power Infiltration Grid

Peaking Demand Analysis and Visualization Simulation Platfor...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Xiangyu Lv Dexin Li Junhui Li Changxing Ge Chunguang Tian Jiarui Wang Gangui Yan State Grid Jilin Electric Power Co. Ltd. Electric Power Research Institute Changchun 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)9781728143033

ISBN: (纸本)9781728143040

This paper proposes a analysis method of peak shaving demand for power grid, and analyzes the impact of wind power grid connection on power system peak shaving under different wind power permeability, and analysis the operational characteristics of energy storage assisted peak shaving to compare different energy storage systems. Finally, in order to facilitate the implementation and observation of the analysis results, a visual simulation platform was built. The results of the example show that the method described in this paper can accurately analyze the peaking shaving demand under different wind power permeability. At the same time, the total yield of lithium iron phosphate battery is the highest in the choice of energy storage type, which is 497 million yuan/year. All-vanadium redox flow batteries may benefit more than lithium iron phosphate batteries in the future due to battery characteristics. Finally, the visualization platform is true and effective and can fully express the method described in this paper.

关键词： Wind power generation Batteries Permeability power grids Lithium

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Optimizing the Homogeneity and Efficiency of an SOEC Based on Multiphysics simulation and Data-driven Surrogate Model

arXiv

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arXiv 2022年

作者： Chi, Yingtian Yokoo, Kentaro Nakajima, Hironori Ito, Kohei Lin, Jin Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Department of Hydrogen Energy Systems Graduate School of Engineering Kyushu University Fukuoka Japan Department of Mechanical Engineering Faculty of Engineering Kyushu University Fukuoka Japan Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

Inhomogeneous current and temperature distributions are harmful to the durability of the solid oxide electrolysis cell (SOEC). Segmented SOEC experiments reveal that a high steam utilization, which is favorable for system efficiency, leads to local steam starvation and enhanced the inhomogeneity. It is necessary to consider inhomogeneity and efficiency jointly in optimization studies. Three-dimensional (3D) multiphysics models validated with experiments can simulate the inhomogeneity in a reliable manner, but they are unsuitable for optimization due to the high computational cost. This study proposes a method that combines segmented SOEC experiments, multiphysics simulation, and artificial intelligence to optimize the inhomogeneity and efficiency of SOEC jointly. A 3D cell model is first built and verified by segmented SOEC experiments. Then, fast neural network surrogate models are built from the simulation data and integrated into a multi-objective optimization problem. Its solutions form a Pareto front reflecting the conflicting relationships among different objectives. It is found that the down-stream current is 60%-65% of the up-stream current when the steam utilization is 0.7. To increase the steam utilization to 0.8, the down-stream current will further drop to 50%-60% of the up-stream current. The Pareto fronts enable system operators to achieve a balance between efficiency and inhomogeneity. Copyright © 2022, The Authors. All rights reserved.

关键词： Multiobjective optimization

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Study on Subsynchronous Resonance Damping control for Series-Compensated DFIG-Based Wind Farm

Study on Subsynchronous Resonance Damping Control for Series...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Luo, Chao Guo, Qi Xiao, Xiangning Gole, A.M. Liao, Mengjun Electric Power Research Institute State Key Laboratory of HVDC China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China North China Electric Power University State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources Beijing China University of Manitoba Electrical and Computer Engineering Department Winnipeg Canada

ISBN: (纸本)9781728149301

Subsynchronous Resonance (SSR) is a potential threat for long distance power transmission from doubly fed induction generator (DFIG) based wind farms with fixed series compensation (FSC). In this paper, subsynchronous resonance damping control (SSRDC) strategy based on shunt voltage source converter is proposed. Taking account of different series compensation levels and wind speeds, several potential inputs to the SSRDC are investigated. SSRDC control parameters are determined via root locus techniques to ensure the system stability of subsynchronous modes. Considering implementation feasibility in practical project and stability of supersynchronous modes, an enhanced SSRDC is proposed. Impact of transmission line and DFIG parameters and the reactive power compensation to the mitigation effect is investigated. Time domain simulation using PSCAD/EMTDC are carried out to validate the effectiveness of the SSRDC. © 2019 IEEE.

关键词： Wind farm

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An Obstacles Avoidance Algorithm Based on Improved Artificial Potential Field 17

An Obstacles Avoidance Algorithm Based on Improved Artificia...

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17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Lu, SiXi Li, En Guo, Rui Yuquan Road Beijing100049 China Institute of Automation Chinese Academy of Science State Key Laboratory of Management and Control for Complex System 95 East ZhongGuanCun Road Beijing China State Grid Shandong Electric Power Company Jinan250001 China

ISBN: (纸本)9781728164151

Obstacle avoidance is one of the most important issue in the motion planning and control of robot. There are many algorithms to avoid obstacles, but obstacle avoidance algorithm for manipulator is needed consider not only end effector, but also all links of manipulator. In terms of real-time and speed of all system, the algorithm also should be easy as possible. In this paper, an algorithm based on the improved artificial potential field is proposed to solve the problem of the local optimum. The idea of improvement is to find a path by fitting curve with target point and critical oscillating points. There is also a comparison in this paper with planning a path by tangent line. The conclusion proves that the path is much smoother by the algorithm based on improved artificial potential field in this paper. Furthermore, the problem of judder on the trajectory of traditional artificial potential field is also solved in this paper by an improved repulsive potential field function. Finally, the algorithm is proved by planning a smooth path for obstacle avoidance on manipulator: KinovaGen3 in MATLAB. © 2020 IEEE.

关键词： Manipulators

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An Efficient Plasma Regeneration of As-Poisoned V2O5-Based Catalyst for Simultaneous Poison Removal and Activity Enhancement

SSRN

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SSRN 2024年

作者： Yin, Yong Li, Kezhi Jiang, Si Peng, Yue Zhu, Tianle Sun, Yifei Li, Junhua Li, Xiang School of Energy and Power Engineering Beihang University Beijing100191 China Institute of Engineering Technology Sinopec Catalyst Co. Ltd. Beijing101111 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China School of Materials Science and Engineering Beihang University Beijing100191 China School of Environmental Science and Engineering Hainan University Haikou570228 China Research Center for Advanced Energy and Carbon Neutrality Beihang University Beijing100191 China

Regeneration of highly toxic Arsenic (As) poisoned SCR catalysts is a huge challenge, because the strong interactions between As and the active component often leads to the loss or damage of active sites during the regeneration process. Herein, we develop a low-temperature plasma regeneration method that not only selectively removes As but also preserves the active components for commercial V2O5-WO3/TiO2 catalyst. More intriguingly, the catalyst after plasma regeneration achieves a significant catalytic performance enhancement, far surpassing the fresh V2O5-WO3/TiO2 catalyst. Under optimized regeneration conditions, the regenerated catalyst exhibits an As removal rate exceeding 99.5 ± 0.2% within 240 s, and a TOF value that was 11.1 and 2.4 times of the poisoned and fresh catalyst. Structural characterization reveals that the enhanced intrinsic activity of regenerated catalyst mainly stems from the As complete removal and subsequent transformation of monomeric VOx species into polymeric ones under H2 plasma environment. Multiple spectroscopic monitoring techniques unveil three stages in the plasma treatment process: (1) As reduction and removal, (2) surface polymerization of VOx species, and (3) vanadium embedded into TiO2 lattice. At low temperatures, the well regenerated catalysts with abundant polymeric VOx facilitate the nitrate-assisted dehydrogenation of adsorbed NH3 to key NH2 intermediates, thereby achieving superior NH3-SCR catalytic performance. This study not only provides a rapid regeneration strategy for poison selective separation from spent catalysts but also offers new insights into the precise control and design of active sites. © 2024, The Authors. All rights reserved.

关键词： Temperature

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Optimal capacity allocation method of energy storage system for increasing wind power integration

Optimal capacity allocation method of energy storage system ...

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International Conference on power Electronics and Motion control (IPEMC)

作者： Dexin Li Xiangyu Lv Junhui Li Pengcheng Yue Chunguang Tian Jiarui Wang Changxing Ge Gangui Yan Electric Power Research Institute State Grid Jilin Electric Power Co. Ltd. Changchun 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)9781728153018

ISBN: (纸本)9781728153025

This paper comprehensively needs to investigate the cost of energy storage system (ESS), the cost of equivalent charging and discharging, the economic benefits, and other factors to consider, aiming at comprehensive benefit maximization, setting the operation mode and configuration method of wind farm ESS when adapting to wind power generation capacity. Taking 2017 restricted wind farms in northeast China as an example, the ESS configuration method proposed in this paper can improve the degree of wind power integration. The example shows that the optimal configuration of ESS is closely related to the wind farm power fluctuation characteristics, the degree of limitation and the ESS cost. When too much capacity is allocated, the ESS is no longer economical.

关键词： Economics Vanadium Wind power generation Wind farms power electronics Resource management Motion control

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Modeling and Analysis of Industrial power Load Based on Measured Data

Modeling and Analysis of Industrial Power Load Based on Meas...

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作者： Zhang Yan Wang Huajia Yu Danwen Zhang Gaofeng Li Weichao State Grid Shandong Electric Power Research Institute Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

With the rapid development of electronic technology, the construction of smart grids has been accelerated. Establishing an accurate load model is of great significance to the stability of distribution network system. Some large-capacity installations with more harmonics and impact, such as electric arc furnaces and wind farm are connected to the grid, which has a serious impact on the power quality of the distribution network. This paper adopts a method of industrial load modeling based on the fitting of measured data, selects electric arc furnace and aluminum rolling mill as typical industrial loads, establishes its model through fitting the measured data,which proves the reliability and accuracy of the load model.

关键词： Modeling and Analysis of Industrial power Load Based on Measured Data

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Influence Analysis of Thermal states on Dynamic Frequency Response for power systems with High Renewables

Influence Analysis of Thermal States on Dynamic Frequency Re...

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Sustainable power and Energy Conference (iSPEC)

作者： Yongji Cao Hengxu Zhang Changgang Li Leshu Sun Chen Li Hao Qin Qi Guo Yihua Zhu Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Shandong University Jinan China State Key Laboratory of HVDC Electric Power Research Institute National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9781728191645

ISBN: (纸本)9781728191652

As thermal generators are substituted by renewables, the power reserves are decreasing and the influence of boiler thermal states on frequency dynamics becomes more severe. The variations of thermal states can aggravate dynamic frequency response, especially for power systems with high renewables. However, the system frequency response (SFR) model has been widely adopted, but in which the thermal states are neglected. This paper analyzes the influence of thermal states on dynamic frequency response quantitatively. The modified SFR models are built by extending the boiler models with different simplification degrees. Then, from the view of the response amplitude and time, the quantitative indices are established to measure the response trajectories of modified SFR models. And the characteristics of frequency dynamics and the statistic indices of data sequences are utilized to analyze the influences of thermal states and assess the performances of modified SFR models. According to the results of comparative analysis, the neglect of thermal states incurs more optimistic frequency dynamics and impairs the frequency stability of power systems with high renewables. Additionally, the accuracy of the SFR model can be enhanced even with the most simplified boiler model.

关键词： Analytical models power system dynamics power system stability Boilers Frequency response Thermal analysis Thermal stability

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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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