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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Yihua Zhu Dongxu Chang Qi Guo Hengdao Guo Binjiang Hu Mingkang Wu Yukun Zhu Duo Yu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665434263

Based on the design characteristics of the stability control system, the control strategies of each station in the system are abstracted and integrated, and classified into standardized logic and customized logic. Based on the real-time digital simulation system platform, a three-layer architecture of the real-time simulation platform for the large-scale stability control system is designed. The standardized simulator based on FPGA/DSP and the customized simulator using device virtualization technology are designed in detail. The design scheme of the real-time accurate simulation platform for large-scale stability control system is proposed. From the perspective of hardware requirements, simulation accuracy, and platform adaptability, the differences between the simulation platform and the existing real-time digital simulation test platform are compared and analyzed.

关键词： Adaptation models Analytical models Digital simulation power system stability control systems Stability analysis Real-time systems

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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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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Lv, Xiangyu Li, Dexin Li, Junhui Ge, Changxing Tian, Chunguang Wang, Jiarui Yan, Gangui 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 Jilin China

ISBN: (纸本)9781728143033

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. © 2020 IEEE.

关键词： Wind power

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Risk Assessment with Generic Energy Storage under Exogenous and Endogenous Uncertainty

arXiv

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arXiv 2022年

作者： Qi, Ning Cheng, Lin Wan, Yuxiang Zhuang, Yingrui Liu, Zeyu State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China Tianjin University China

Current risk assessment ignores the stochastic nature of energy storage availability itself and thus lead to potential risk during operation. This paper proposes the redefinition of generic energy storage (GES) that is allowed to offer probabilistic reserve. A data-driven unified model with exogenous and endogenous uncertainty (EXU & EDU) description is presented for four typical types of GES. Moreover, risk indices are proposed to assess the impact of overlooking (EXU & EDU) of GES. Comparative results between EXU & EDU are illustrated in distribution system with day-ahead chance-constrained optimization (CCO) and more severe risks are observed for the latter, which indicate that system operator (SO) should adopt novel strategies for EDU uncertainty. © 2022, CC BY.

关键词： Energy storage

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Nonlinear Modeling of the VSC Grid-Connected system with controller Saturation

Nonlinear Modeling of the VSC Grid-Connected System with Con...

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Electrical Engineering and control Technologies (CEECT), Conference on

作者： Jiawei Yu Yihua Zhu Chengxiang Li Chao Luo State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Center Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power Sytem Simiulation ELectic Power Reasearch institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665499002

With the development of power electronics technology, the power system is now evolving into a new-generation power system dominated by renewable energy. Due to the physical limitations of power electronics, controller saturation is widely adopted in wind turbines and photovoltaics. In this paper, a nonlinear system model considering output saturation is proposed in the view of general dynamic systems. By defining saturation-activation vector L, all the saturations of the system are uniquely represented. Then, the proposed modeling method is applied to a voltage source converter (VSC) grid-connected system. Based on RTDS simulation, this paper revealed that a class of oscillations at a specific frequency are caused by the activation of the phase-locked loop (PLL) saturation. The frequency of the oscillation depends on the top and bottom boundaries of PLL saturation.

关键词： Photovoltaic systems Electrical engineering Renewable energy sources power systems Wind turbines Phase locked loops Nonlinear systems

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Mechanism and Influencing Factor Analysis of High Frequency Oscillation in PMSG-Based Wind Farm With Grid-Connected system

Mechanism and Influencing Factor Analysis of High Frequency ...

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IEEE International Conference on Energy Internet (ICEI)

作者： Chao Luo Yihua Zhu Libin Huang Jiawei Yu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

Under the background of vigorously developing wind power, permanent magnet synchronous generator (PMSG)-based wind turbines have been widely used in offshore wind farms. However, the high frequency oscillations (HFOs) of PMSG-based wind farms with grid-connected system have occurred frequently in recent years, which have a bad impact on the safe and stable operation of the power system. And current researches only preliminarily reveal the mechanism, which are lacking in discussion on the key factors involved in HFOs. This paper establishes the high frequency impedance model of PMSG-based wind farm with grid-connected system. To identify the key factors involved in HFO, the impedance sensitivity method is used to obtain the quantitative relationship of the influence of each parameter on HFO. It can be concluded that the control delay, LCL filter parameters, collector lines parameters have the greatest influence on the HFO of the wind farm, but the characteristic of negative resistance caused by control delay is the root cause of HFO. Finally, this paper establishes the model of PMSG-based wind farm with grid-connected system on the PSCAD/EMTDC and verifies the correctness of the theoretical analysis. The conclusions of this paper can provide a reference basis for the mitigation strategies of HFOs.

关键词： Wind energy generation Analytical models Sensitivity Wind farms Hafnium oxide Synchronous generators Delays

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SO2 Poisoning, Regeneration, and Impact on Dimer-Cu Intermediates in the NH3-SCR Reaction over Cu-Zeolites

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Environmental science & technology 2025年第22期59卷 2025 May 29页

作者： Wenqing Ding Yu Fu Huibin Liu Tongliang Zhang Yu Sun Zhongqi Liu Sen Xue Xuewang Han Jinpeng Du Peirong Chen Yulong Shan Yunbo Yu Hong He School of Chemistry and Chemical Engineering Nanchang University Nanchang 330031 China. Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou 341119 China. State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China. Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control National Engineering Laboratory for VOCs Pollution Control Technology and Equipment School of Environment and Energy South China University of Technology Guangzhou 510006 China. Weichai Power Co. Ltd. Weifang 261061 China. State Key Laboratory of Engine and Powertrain System Weifang 261061 China. Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China.

This study demonstrates that Al-rich, high-Cu-loaded Cu-SSZ-13 exhibits superior resistance to SO poisoning under actual SCR conditions. The high Cu content mitigates the risk of SO-induced structural degradation. A key finding is that lower regeneration temperatures can lead to more severe secondary poisoning, while high temperatures induce hydrothermal aging. Thus, controlling the regeneration temperature is critical for maintaining long-term catalyst stability. Additionally, experimental results and DFT calculations show that SO preferentially reacts with dimer-Cu species, especially hydrogenated dimer-Cu ([Cu(NH)(OH)O]), resulting in significant sulfate accumulation. This interaction inhibits the redox cycle of Cu/Cu, thereby suppressing low-temperature activity. Overall, this work elucidates the mechanisms of SO-induced deactivation in Cu-zeolite SCR catalysts and provides valuable insights into designing Cu-SSZ-13 catalysts with enhanced sulfur resistance through Cu-Al co-optimization.

关键词： Cu-SSZ-13 DRUVS NH3-SCR SO2 poisoning dimer-Cu

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Short-Term Load Forecasting for Virtual power Plants Based on Improved Laguerre Orthogonal Neural Network Algorithm

Short-Term Load Forecasting for Virtual Power Plants Based o...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Yang Zhang Dong Zhang Jiayin Li Tong Liu Donglai Wang School of Electric Power Shenyang Institute of Engineering Shenyang China Engineering and Technology Research Institute Shenyang Institute of Engineering Shenyang China State Grid Chifeng Electric Power Supply Company State Grid Inner Mongolia East Electric Power Co. Ltd. Chifeng China Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

In this paper, a method for offline analysis of the short-term load method of virtual power plant based on the combination of AR-GARCH model and improved Laguerre neural network combination algorithm (LOBNN) is proposed. Firstly, the combination modelling of optimal AR-GARCH model and improved Laguerre neural network is established. The trained correlation matrix is screened to get the strong correlation factors affecting the load changes, and data preprocessing and correlation analysis are performed. Secondly, the LOBNN model is improved by improving the weights solving algorithm, which is used to enhance the flexibility of the model. Then, a new iterative algorithm is designed to further improve the prediction accuracy of the model, and the new LOBNN model is obtained. Finally, the data are adjusted by substituting the AR-GARCH model and the improved LOBNN model, obtaining two sets of predicted values for the input data, comparing the output multivariate load prediction results with the real values and calculating the loss function, and adjusting the network parameters according to the loss function generation by generation.

关键词： Training Analytical models Machine learning algorithms Load forecasting Neural networks Predictive models Virtual power plants Prediction algorithms Data models Load modeling

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Distributed Nash Equilibrium Seeking for Aggregative Games with Mismatched Disturbances

Distributed Nash Equilibrium Seeking for Aggregative Games w...

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Chinese control and Decision Conference, CCDC

作者： Qi Wang Feng Xiao Bo Wei State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (纸本)9781665478977

In this paper, we focus on the distributed Nash equilibrium seeking problem for aggregative games for players described by double-integrator dynamics. Each player in the game is subject to unknown mismatched time-varying disturbances. To solve the Nash equilibrium seeking problem with mismatched disturbances, a distributed Nash equilibrium seeking algorithm is proposed. In aggregative games, the proposed algorithm guarantees the convergence of strategies of players to the Nash equilibrium of aggregative games and suppresses the influence of mismatched disturbances.

关键词： Heuristic algorithms Games Nash equilibrium Convergence Lyapunov methods

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Boosting Co2 Absorption and Desorption of Biphasic Solvent by Nanoparticles for Efficient Carbon Dioxide Capture

SSRN

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SSRN 2023年

作者： Yuan, Bingling Zhan, Guoxiong Xing, Lei Li, Yuchen Huang, Zhoulan Chen, Zhen Wang, Lidong Li, Junhua MOE Key Laboratory of Resources and Environmental Systems Optimization Department of Environmental Science and Engineering North China Electric Power University Beijing102206 China State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

Introduction of nanoparticles (NPs) in the solvent was treated an efficient route to enhance mass and heat transfer, therefore, it was a promising strategy to boost carbon dioxide (CO2) absorption and desorption, especially for the biphasic solvent with weak absorption rate and low heat capacity. Herein, powder TiO2 and SiO2 with nanoscale was selected to prepare nanofluid for CO2 capture, based on DMPA-NHD biphasic solvent. The stability of nanofluid and the effect of NPs on CO2 absorption-desorption, phase-splitting was comprehensively explored in this work. Experimental results revealed that 0.06wt% 60nm TiO2 presented excellent performance for CO2 absorption. The liquid film resistance decreased by 11% after introducing NPs, therefore, the maximum mass transfer coefficient is 1.7×10-10 mol·cm-2·s-1·Pa (at 40 °C), increasing by 27% than the blank. In addition, 0.06wt% 50nm SiO2 leaded to significant promotion for CO2 desorption, with the maximum desorption rate at 3.9 mmol/min, and the desorption energy consumption reduced by 9.5% compared with blank case. Importantly, introduction of NPs had no significant effect on the phase splitting behavior, according to the time-profile phase-splitting measurements. The influence of NPs on biphasic solvent behavior was firstly explored to provide a reference for subsequent practice application. © 2023, The Authors. All rights reserved.

关键词： Carbon dioxide

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General Impedance Modeling for Modular Multilevel Converter with Grid-forming and Grid-following control

arXiv

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arXiv 2024年

作者： Sun, Chu Zhang, Fei Xiao, Huafeng Wang, Na Chen, Jikai The School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm11428 Sweden The School of Electrical Engineering Southeast University Nanjing210096 China The School of Automation Science and Electrical Engineering Beihang University Beijing100191 China The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

Modular multilevel converter (MMC) has complex topology, control architecture and broadband harmonic spectrum. For this, linear-time-periodic (LTP) theory, covering multi-harmonic coupling relations, has been adopted for MMC impedance modeling recently. However, the existing MMC impedance models usually lack explicit expressions and general modeling procedure for different control strategies. To this end, this paper proposes a general impedance modeling procedure applicable to various power converters with grid-forming and grid-following control strategies. The modeling is based on a unified representation of MMC circuit as the input and output relation between the voltage or current on the AC side and the exerted modulation index, while the control part vice versa, thereby interconnected as closed-loop feedback. With each part expressed as transfer functions, the final impedance model keeps the explicit form of harmonic transfer function matrix, making it convenient to directly observe and analyze the influence of each part individually. Thereby the submodule capacitance is found as the main cause of difference between MMC impedance compared to two-level converter, which will get closer as the capacitance increases. Effectiveness and generality of the impedance modeling method is demonstrated through comprehensive comparison with impedance scanning using electromagnetic transient simulation. Copyright © 2024, The Authors. All rights reserved.

关键词： Harmonic analysis

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