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1st Electrical Artificial Intelligence Conference, EAIC 2024

作者： Ma, Jian Duan, Yu Zhu, Zimin Wang, Xiaoyun Deng, Xiaoyu Zao, Weihong Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. Urumqi830011 China Xinjiang Key Laboratory of Whole Process Simulation for Power System Urumqi830011 China

ISBN: (纸本)9789819640669

A flexible DC optimization control strategy is proposed to enhance grid interconnection across zones, addressing challenges such as inadequate supply capacity in layered and zonal grids, load imbalances, and low safety and reliability in the Southern Xinjiang region's power network. Firstly, based on the operational demands for grid security and economic performance, steady-state and transient optimization control objectives are established. Secondly, a comprehensive evaluation index is developed, covering load balancing, network losses, and voltage deviations. The optimal power of the flexible DC system is determined through a step-by-step approximation approach, ensuring optimal power flow control during the steady-state operation of urban power grids. A simplified model of the Southern Xinjiang urban power grid, featuring an outer 750 kV ring and an inner 220 kV ring grid structure, is developed for simulation. The simulation results validate the effectiveness and engineering practicality of the proposed method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Electric power system control

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Suppression of Phase Current Ripple and Torque Harmonics in Four-Module PMSM with Asymmetric Mutual Inductance

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IEEE Transactions on power Electronics 2025年

作者： Liu, Kaiyuan Li, Chi Zheng, Zedong Li, Yongdong Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Beijing100084 China

In N-module motors, uniform carrier phase shifting (UCPS) by 2π/N between modules can effectively suppress torque harmonics caused by high-frequency switching of power devices. In multi-module motors with fractional-slot concentrated winding, the mutual inductance between adjacent windings is higher than that between non-adjacent windings. Although the conventional UCPS can reduce the torque sideband harmonics synthesized by the four modules, this asymmetric mutual inductance (AMI) paradoxically increases phase current ripple in each sub-module, leading to higher system losses. Aiming at this problem, this paper derives the mathematical model of N-module motor with AMI, analyzes the limitations of the traditional UCPS method that increases the phase current ripple. For different optimization objectives, two carrier phaseshifting angle optimized strategies are proposed to achieve integrated suppression of torque sideband harmonics and intramodule phase current ripples, with a genetic algorithm improving optimization speed. A threshold coefficient is introduced to achieve a tradeoff between phase current ripple and q-axis current harmonics, which can be adjusted to prioritize objectives based on user requirements. To enhance algorithm adaptability, the paper further investigates model variations under uneven torque distribution in sub-healthy states and proposes an improved comprehensive optimization algorithm, limiting torque sideband harmonics and current ripple in both healthy and sub-healthy conditions. Finally, the proposed algorithm is validated experimentally by a four-module permanent magnet synchronous motor. © 2025 IEEE.

关键词： Genetic algorithms

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Application of photoelastic effect for excitation signal detection and optimization in laser-induced pressure propagation method

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IEEE Transactions on Dielectrics and Electrical Insulation 2025年

作者： Qi, Tianrun Ren, Hanwen Gao, Haoyu Li, Qingmin He, Xinjun Wang, Jian North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China Tokyo City University Measurement and Electric Machine Control Laboratory Setagaya158-8557 Japan

The crucial factor for ensuring space charge measurement resolution and signal intensity with the laser-induced pressure propagation method is the exceptional excitation performance. This study proposes a new approach for detecting high-frequency pressure pulse signals using the photoelastic effect. Based on the constructed pressure pulse optical detection system, the excitation characteristics and space charge measurement signals are investigated under different electrode materials and laser parameters. The experimental findings demonstrate that the selection of the target material, optimization of laser energy and spot diameter can significantly enhance the measurement resolution and signal intensity. Further, an optimized excitation scheme for the LIPP measurement device is proposed. The optimal spatial resolution and signal intensity are achieved when utilizing graphene as the target with laser energy of 340 mJ and spot diameter of 10 mm. Furthermore, the outcomes of the space charge evolution under intense electric field confirm the efficacy of the excitation optimization approach. Ultimately, the pressure pulse properties and generation process under distinct mechanisms are elucidated by integrating the developed simulation model of laser-induced pressure pulse. This study can offer valuable insights into the design of excitation scheme and investigation of the pressure wave generation mechanism in the LIPP method. © 1994-2012 IEEE.

关键词： Photoelasticity

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Ultrahigh alkali resistance and regeneration capacity of the birnessite deNOx catalysts: A recyclable extraction-insertion strategy

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Separation and Purification Technology 2025年 368卷

作者： Xuan, Yue Zhu, Xiao Wang, Bin Liang, Yanjie Gao, Chuan Li, Bing Wang, Dong Peng, Yue School of Energy and Power Engineering Shandong University Shandong Jinan250061 China State Key Joint Laboratory of Environment Simulation and Pollution Control National Engineering Laboratory for Multi Flue Gas Pollution Control Technology and Equipment School of Environment Tsinghua University Beijing100084 China

The selective catalytic reduction (SCR) of NOx with NH3 in biomass combustion flue gas confronts high-concentration alkali metal (K) poisoning. Herein, we propose a recyclable extraction-insertion strategy using acid-treated birnessite-based catalysts to achieve high alkali resistance. Compared to commercial MnO2 catalyst, which suffered severe deactivation after 1 wt% K+ poisoning, the OL-1(H) catalyst showed a surprising enhancement in SCR activity by 1 wt% K+ and only a modest 15.5 % decrease in NOx conversion at 225 °C with 7 wt% K+. Physicochemical characterizations and density functional theory calculations revealed that K+ deposition form K2O on the surface of commercial MnO2, disrupting Mn-O active sites. In contrast, K+ tended to migrate from the outer surface into the interlayer, spontaneously exchanging with H+ in the OL-1(H) catalyst. The inserted K+ coordinated with six O2–, attracting surrounding electron clouds and facilitating electron loss from Mn species with unsaturated outer coordination. This resulted in an enrichment of Mn5c4+-Lewis acid sites, enhancing NH3 adsorption and activation, thereby improving NOx removal via the Eley-Rideal (E-R) mechanism. Equally important, the extraction-insertion process between H+ and K+ further regenerated the K-poisoned catalyst efficiently, restoring the NOx conversion by 23.3 % at 150 °C. The recyclable extraction-insertion strategy provides a new paradigm for designing catalysts with ultrahigh alkali resistance and regeneration capacity, applicable across various environmental fields. © 2025

关键词： Nitrogen oxides

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Quantitative detection of alkali metal Na based on laser-induced breakdown spectroscopy technology

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Meitan Xuebao/Journal of the China Coal Society 2025年第4期50卷 2262-2270页

作者： Shen, Sijie Li, Chi Zhou, Wangzheng Wang, Zhenzhen Yan, Junjie Hou, Zongyu Wang, Zhe Deguchi, Yoshihiro School of Energy and Power Engineering Xi'an Jiaotong University Xi'an710049 China State Key Laboratory of Multiphase Flow in Power Engineering Xi'an Jiaotong University Xi'an710049 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China Institute for Carbon Neutrality Tsinghua University Beijing100084 China Department of Energy and Power Engineering Tsinghua University Beijing100084 China Shanxi Research Institute for Clean Energy Tsinghua University Taiyuan030032 China Graduate School of Technology Industrial and Social Sciences Tokushima University Tokushima770-8506 Japan

The alkali metal compounds released from high alkali fuels such as low-quality coal during thermal utilization can affect the normal operation of thermal equipment. Therefore, rapid online detection of alkali metal content in low-quality coal is of great significance for controlling alkali metal release during combustion. The alkali metal Na element is used as the detection object, and the mixed samples of graphite and sodium chloride powder with different ratios are used as experimental samples. The influencing factors of measuring Na element in samples using laser induced breakdown spectroscopy (LIBS) technology are studied. The impact of two signal strength calculation methods on signal stability is compared. The influence of experimental parameters on signal strength and signal-to-noise ratio is analyzed. The quantitative calculation models for Na element have been established. Research has shown that the characteristic spectral lines of Na element, Na I 588.995 nm and Na I 589.592 nm, are suitable as the main analytical spectral lines. Using the area intensity of the dual line characteristic spectral lines of Na element as the signal intensity can effectively improve signal stability. When the laser energy is 60 mJ and the delay time is 1 000 ns, the relative standard deviation of spectral signal intensity is low and the signal-to-noise ratio is high. The quantitative calculation models are established using traditional calibration method, partial least squares (PLS) method, and support vector machine (SVR) with spectral signal intensity as the input and Na element addition in the sample as the output. The accuracy of each model is compared and analyzed. The results indicate that the PLS model may exhibit overfitting when the sample size is small and the input quantity is large. The fitting accuracy of the SVR model is 0.978 3, the root mean square percentage error of the training set is 13.42%, and the root mean square percentage error of the test set is 13.51

关键词： Sodium chloride

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Holomorphic Embedding Searching Method for Voltage Stability Region Boundary of power systems

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Dianli Xitong Zidonghua/Automation of Electric power systems 2025年第10期49卷 123-134页

作者： Li, Xue Zhi, Menglei Jiang, Tao Li, Guoqing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

Static voltage stability region (SVSR) studies power system voltage stability from the perspective of"region", effectively addressing voltage stability issues caused by strong fluctuations and randomness of renewable energy output. To accurately and rapidly construct SVSR, a SVSR boundary (SVSRB) searching method is proposed based on the holomorphic embedding method (HEM). Firstly, a voltage amplitude-active power sensitivity holomorphic embedding function criterion for searching voltage saddle node bifurcation (SNB) points is proposed based on the HEM theory. Secondly, this criterion is combined with a variable step-size control strategy to achieve fast and accurate search of individual SNB point. Then, according to the topological characteristics of SVSRB and utilizing known SNB point information, adjacent SNB points are efficiently solved through fast and flexible holomorphic embedding, thereby realizing efficient multi-dimensional SVSRB search. Finally, cases on test systems such as WECC 9-bus and IEEE 118-bus systems verify that the proposed method enables rapid and accurate construction of SVSRB. © 2025 Automation of Electric power systems Press. All rights reserved.

关键词： Bifurcation (mathematics)

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Location of Subsynchronous Oscillation Source in power systems Using Multivariate Synchrosqueezing Generalized S-Transform

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Dianli Xitong Zidonghua/Automation of Electric power systems 2025年第9期49卷 135-145页

作者： Jiang, Tao Zhang, Peng Li, Xue Liu, Bohan Li, Guoqing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

Fast and accurate location of subsynchronous oscillation source is of great significance to the secure and stable operation of power system. The existing location methods for subsynchronous oscillation source are difficult to be applied to multi-mode time-varying subsynchronous oscillation scenarios, and the computational efficiency needs to be improved. Therefore, a location method for subsynchronous oscillation source in power systems using multivariate synchrosqueezing generalized S-transform (MSSGST) is proposed. First, the energy ratio coefficient is calculated in the adaptive sliding time window to detect the subsynchronous oscillation phenomenon in real time. For the detected subsynchronous oscillation phenomenon, the joint measurement information matrix is constructed with nodes as the unit, and the joint time-frequency matrix is obtained by synchronous decomposition of the joint measurement information matrix using MSSGST. Then, the MSSGST coefficient matrix, which can characterize the subsynchronous oscillation mode of the system, is screened and reassembled by ridge extraction technique. On this basis, the time-frequency domain transient energy flow calculation model based on MSSGST is derived, and the location index of oscillation source is constructed according to the energy characteristics in time-frequency domain during subsynchronous oscillation. Finally, the accuracy and effectiveness of the proposed method are verified by simulation data and measured data of subsynchronous oscillation of the actual power grid. © 2025 Automation of Electric power systems Press. All rights reserved.

关键词： Electric power transmission networks

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Research on frequency modulation of thermal power units combined with compressed air energy storage based on model predictive control

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International Journal of Electrical power and Energy systems 2025年 168卷

作者： Lv, You Sun, Hao Wu, Bin Shi, Yijun Fang, Fang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China School of Control and Computer Engineering North China Electric Power University Changping District Beijing102206 China

Amidst China's pursuit of carbon peaking and neutrality targets, there is a pressing need to establish a novel power system that primarily relies on renewable energy sources (RES). To tackle the challenges this transition poses to the existing power grid, it is imperative to fortify the power system's frequency modulation capabilities, which in turn calls for the exploration of diverse energy storage solutions. This research introduces, simulates, and evaluates an innovative charge–discharge control methodology designed to augment the frequency modulation capabilities of the thermal power unit (TPU) through the integration of the compressed air energy storage (CAES) system. Firstly, by considering the dynamic characteristics and operational mechanism, fundamental transfer function models for TPU and the CAES system are established;based these models, the frequency modulation model of a two-area power grid incorporating TPU and CAES is presented. Subsequently, a power adaptive allocation strategy is formulated with nonlinear signal decomposition techniques, enabling adaptive power distribution between TPUs and CAES. Furthermore, a control strategy utilizing model predictive control (MPC) is proposed, taking into account the state of charge (SOC) of CAES, to refine the energy charge and discharge process. The effectiveness is tested under two scenarios: step disturbance and continuous disturbance. Compared to TPU-only frequency modulation, the presented strategy achieves remarkable outcomes: a 21.9 % reduction in maximum frequency deviation following step disturbances, a 52.2 % decrease in steady-state frequency deviation, and a 37.5 % mitigation of TPU output power fluctuations under continuous disturbances. The results underscore the significant potential of the proposed strategy in alleviating the frequency modulation burden on TPUs, thereby contributing to their secure and stable operation within the evolving power system landscape. © 2025 The Author(s)

关键词： Compressed air energy storage

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PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency

arXiv

引用

arXiv 2025年

作者： Dong, Xintong Yuan, Zhengyi Lin, Jun Dong, Shiqi Tong, Xunqian Li, Yue College of Instrumentation and Electrical Engineering Jilin University Changchun130026 China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Northeast Electric Power University Jilin132012 China College of Communication Engineering Jilin University Changchun130012 China

Full-waveform inversion (FWI) is a method that utilizes seismic data to invert the physical parameters of subsurface media by minimizing the difference between simulated and observed waveforms. Due to its ill-posed nature, FWI is susceptible to getting trapped in local minima. Consequently, various research efforts have attempted to combine neural networks with FWI to stabilize the inversion process. This study presents a simple yet effective training framework that is independent of dataset reliance and requires only moderate pre-training on a simple initial model to stabilize network outputs. During the transfer learning phase, the conventional FWI gradients will simultaneously update both the neural network and the proposed adaptive residual learning module, which learns the residual mapping of large-scale distribution features in the network’s output, rather than directly fitting the target mapping. Through this synergistic training paradigm, the proposed algorithm effectively infers the physically-informed prior knowledge into a global representation of stratigraphic distribution, as well as capturing subtle variations in inter-layer velocities within local details, thereby escaping local optima. Evaluating the method on two benchmark models under various conditions, including absent low-frequency data, noise interference, and differing initial models, along with corresponding ablation experiments, consistently demonstrates the superiority of the proposed approach. Copyright © 2025, The Authors. All rights reserved.

关键词： Stratigraphy

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LiFePO4 Battery SOC Estimation under OCV-SOC Curve Error Based on Adaptive Multi-Model Kalman Filter

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IEEE Transactions on Transportation Electrification 2025年

作者： Paizulamu, Daniyaer Cheng, Lin Xu, Helin Zhuang, Yingrui Qi, Ning Ci, Song Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing100084 China Columbia University Department of Earth and Environmental Engineering New YorkNY10027 United States

LiFePO4 batteries are widely used in electric vehicles and energy storage systems due to long cycle life and high safety performance. However, the open circuit voltage-state of charge curve (OSC) of these batteries features a long plateau region, making state of charge (SOC) estimation highly sensitive to OSC error, which arises due to aging and temperature. To address this, we propose an SOC estimation method that accounts for error in OSC. First, we establish battery equivalent circuit model and introduce a parameters identification algorithm based on adaptive recursive least squares. Next, we derive the relationship between the innovation's cross-correlation matrix/auto-correlation matrix of the Kalman filter and the OSC error. We then develop an adaptive multi-model Kalman filter, which dynamically adjusts the measurement model parameters of each filter based on the sign of the OSC error. By assigning a probability to each filter according to its predicted voltage distribution function, the optimal filter is selected. The proposed method is tested under various OSC error types and operating conditions. Results demonstrate that the proposed method achieves high accuracy and robustness, with root mean square error of less than 0.03, also offers significant advantages in computational efficiency, interpretability, and generalizability. © 2015 IEEE.

关键词： Distribution functions

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