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power Science and Technology (ICPST), IEEE International Conference on

作者： Jing Wang Qinqin Ma Fei Xu Xi Chen Huaizhao Ji Information and Communication Company State Grid Shaanxi Electric Power Company Xi'an China Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

In order to more accurately describe the load changes in the power system and establish a suitable load model, a probabilistic statistical model of desk load based on improved cluster analysis and nonparametric kernel density estimation is proposed. Firstly, the shortcomings of ISODATA clustering algorithm are analyzed, based on which this algorithm is improved by optimizing the selection of initial clustering centers to enhance the effect of clustering and accelerate the convergence speed of the algorithm, and the improved algorithm is used to cluster the power users and analyze the characteristics of electricity consumption of different users. Then, the probability distributions of different loads in each quarter are calculated by using non-parametric kernel density estimation method, and their probability density curves are extracted. Combined with the actual analysis of the load data of a number of users in a station area, compared with the traditional clustering algorithm in terms of clustering effect, the results verified the superiority of the algorithm proposed in this paper and the application value of the proposed model.

关键词： Analytical models Electricity Clustering algorithms Estimation Predictive models Probabilistic logic Real-time systems

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An Auxiliary Decision-Making Model through Comprehensive Utilization of Multi-type Active power Adjustment Resources

An Auxiliary Decision-Making Model through Comprehensive Uti...

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International Conference on power and Energy Technology (ICPET)

作者： Zhengping Chen Fangdong Wang Xichen Tian Yan Lv Wenjian Wang Zhi Cai State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

As the construction of the new power system progresses, the marked increase in the penetration rate of renewable energy, the intensified coupling of multi-energy systems, the closer interconnection among regional power grids, and the accelerated advancement of electricity market reforms have significantly heightened the complexity and uncertainty of the system. These developments pose substantial challenges to the existing dispatching technologies. In this paper, an auxiliary decision-making model through comprehensive utilization of multi-type active power adjustment resources is proposed. Firstly, the paper presents the framework of the auxiliary decision-making model. Then, the paper proceeds meticulously to establish the auxiliary decision-making model, including variables, the objective and constrains. Finally the validity of the model is verified using actual grid data from a specific region.

关键词： Solid modeling Uncertainty power supplies Decision making Dispatching Regulation power grids Security Synchronization Load modeling

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Improvement of the Electrical Properties of Silicone Rubber Doped with Nano-zirconia Grafted by Voltage Stabilizer

Improvement of the Electrical Properties of Silicone Rubber ...

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International Conference on Electrical Materials and power Equipment (ICEMPE)

作者： Xiaoqian Zhu Yuanxiang Zhou Yunxiao Zhang Ming Chen Xuanhao Liu State Key Lab of Control and Simulation of Power System and Generation Equipment & Department of Electrical Engineering Tsinghua University Beijing China College of Electrical Engineering and Automation Fuzhou University Fuzhou China Xiamen Power Supply Company State Grid Fujian Electric Power Company Xiamen China The Wind Solar Storage Division of State Key Laboratory of Control and Simulation of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi China

Enhancing the electrical performance of silicone rubber (SiR) for cable accessories is noteworthy as they are almost the weakest parts of the cable system. Two types of voltage stabilizers were grafted onto the surface of nano-zirconia (ZrO 2 ) particles, and the grafted nanoparticles were added to the SiR. Measurements such as breakdown strength, and conductivity were carried out to evaluate the electrical performance of SiR nanocomposites. The electrical performance measurement results indicated that the breakdown strength of the nanocomposite SiR improved while the conductance current was reduced. The trap distribution showed that the improvement of the electrical performance of the nanocomposite SiR is mainly due to the decrease of the shallow trap density or the increase of the deep trap density.

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Intra-Day Rolling Optimal Strategy Considering Whole Dispatch Process and Multi-Type Adjustable Measures

Intra-Day Rolling Optimal Strategy Considering Whole Dispatc...

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IEEE International Conference on power and Energy Applications (ICPEA)

作者： Wenzhong Li Duanhong Zhang Xichen Tian Yan Lv Zhengqi Xu Jingfeng Liang State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

The current electric power system practices hierarchical and zonal administration to facilitate more effective monitoring of grid safety and event management. With an escalating integration of new energy sources on the generation side, the intrinsically variable nature of these resources introduces substantial uncertainties into grid operations. Meanwhile, on the demand side, load profiles are diversifying further, significantly influenced by weather conditions, market price signals, or incentive schemes, thereby adding another layer of unpredictability. Against this context, this paper proposes an intra-day rolling optimal strategy considering whole dispatch process and multi-type adjustable measures. By synthesizing regulating resources from both the source and load sides, it undertakes a series of intra-day rolling optimization decisions across the entire dispatch workflow. This strategy aims to harmonize and optimize the allocation of various resources, thereby ensuring the secure and stable functioning of the electrical grid amidst the complexities introduced by the integration of intermittent renewables and the dynamics of diversified loads.

关键词： Renewable energy sources power measurement Uncertainty power supplies Process control Robustness Safety power system reliability Resource management Optimization

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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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A Forecast Error Correction Method Based on Seq2Seq and Auto Encoder for Short-term Wind power Forecast Enhancement

A Forecast Error Correction Method Based on Seq2Seq and Auto...

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

作者： Haoyu Ma Ming Yang Zifen Han Bo Wang Jianfeng Che Menglin Li Key Laboratory of Power System Intelligent Dispatch Control Shandong University Jinan China State Grid Gansu Power Grid Corporation Lanzhou China National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

Accurate wind power forecast (WPF) is highly significant for the safe and economic operation of power systems, and implementing error correction is a common and effective manner to further enhance the forecasting performance. Nonetheless, existing error correction methods fail to consider temporal relationship and may inadvertently increase the error under certain circumstances, thereby compromising the local precision of forecast. In order to address these issues, this paper proposes an error correction model based on Seq2Seq and auto encoder (AE) to improve forecasting accuracy. Firstly, the seq2seq with attention mechanism is introduced to infer the probable error sequence through learning the temporal relationship between the numerical weather prediction sequence and the actual error sequence. Secondly, the samples that the seq2seq providing a positive error inference are collected and the AE model is employed to extract the meteorological features at these moments. Finally, on the basis of the above two models, the error correction method is constructed consisting of preliminary error inference and posterior correction determination. Using operational data from Ningxia province, the proposed method is validated for its remarkable superiority based on the evaluation metrics.

关键词： Accuracy Wind energy Heuristic algorithms Wind power generation Predictive models Feature extraction Error correction Numerical models Wind forecasting Forecasting

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Short-Term Prediction of Wind Farm Cluster power Based on Load Risk Scenarios and Improved Weighted Loss During Peak and Valley Load Periods

Short-Term Prediction of Wind Farm Cluster Power Based on Lo...

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

作者： Mao Yang Yunfeng Guo Bo Wang Zhao Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China National Key Laboratory of Renewable Energy Grid-Integration China Electric Power Research Institute Beijing China

Load peak and valley periods as the key scheduling scenarios, the effectiveness of wind power prediction becomes extremely important, in order to minimize the impact of wind power on the power system due to prediction errors, a short-term prediction method of wind farm cluster power considering risk scenarios and improved loss function is proposed. Firstly, the coupled correlation mechanism between meteorological type and load demand is explored, and the load risk scenario and meteorological correlation are derived. Second, according to the risk scenarios of load demand, the traditional loss function is improved and used to train the power prediction model under the risk scenarios. Then, a dynamic division strategy of wind farm clusters considering the meteorological similarity of the previous day is proposed to obtain the sub-clusters of similar output. Finally, the model with improved weighted loss function is used to predict the wind power for different regional sub-clusters and extended to wind farm clusters. The above method is validated using the wind farm clusters in West Inner Mongolia, China. And the results show that in the low-risk load scenario, the accuracy of the model with improved loss is higher, and the accuracy decreases with the increase of the load risk level, but the overall risk indexes are significantly lower than the method with traditional loss function, which proves the validity of the proposed method.

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Study of the Vibration Characteristics of 550 kV GIS Circuit Breaker Based on Rigid-Flexible Coupling Model*

Study of the Vibration Characteristics of 550 kV GIS Circuit...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Yanpeng Ge Bo Liu Shaoshuai Su Yiheng Xu Qiang Sun Weikai Zhang Wensheng Gao Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China Shandong Taikai High Voltage Switchgear Co. Ltd Tai’an China

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

High voltage circuit breakers (HVCBs) in the gas insulated switch gear (GIS) play an important role in the control and protection of power system. The mechanical faults account for the largest part of common faults in HVCBs. This paper establishes the rigid-flexible model of a 550 kV GIS HVCB, and experimentally studies the behavior characteristics of the HVCB under mechanical fault situation. Firstly, the fine 3D structure model of the 550 kV GIS HVCB is built and the arc-extinguishing principle of the HVCB is analyzed. Then, the rigid model and the rigid-flexible coupling model of the HVCB’s components and the whole system are established. The vibration signals of the two models are simulated and compared based on the finite element method. The component model mainly consists of the static arc contact and the dynamic arc contact. Furthermore, the mechanical fault is artificially set in the HVCB, and the vibration waveform are obtained. Finally, the simulation data is compared with the experimental results and the fault characteristics are analyzed. This research realizes the modeling, simulation and measurement of HVCB dynamic characteristics, which is of great significance to the diagnosis and prevention of HVCB mechanical faults.

关键词： Vibrations Couplings Solid modeling Three-dimensional displays Circuit breakers power system dynamics High-voltage techniques

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Risk Assessment of Inter-Provincial Electricity Spot Market Based on Market Correlation Characteristics

Risk Assessment of Inter-Provincial Electricity Spot Market ...

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IEEE Asia power and Energy Engineering Conference (APEEC)

作者： Guodong Huang Jiang Chang Zhi Cai Delin Wang Ruiwen Zhang Fangyu Wang Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute) Beijing China National Power Dispatching and Control Center Beijing China State Grid Beijing Electric Power Research Institute Beijing China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

With the deepening of the construction of the inter-provincial electricity spot market and its official operation, market risk assessment is becoming increasingly important. Based on the multi-level unified market structure, the differences between provincial and inter-provincial spot market are firstly analyzed. According to the operation characteristics and correlation characteristics of inter-provincial electricity spot market, the risk assessment index system is constructed from five aspects: market structure risk, market price risk, market member behavior risk, market operation efficiency risk, and market correlation risk, and the index weight is determined by using the analytic hierarchy process method and the improved entropy weight method, and the comprehensive calculation of market risk is carried out.. Finally, the evaluation and analysis of three typical scenarios in actual operation are carried out, and the examples show that the proposed evaluation method can accurately quantify the market risk and has good practicability.

关键词： Correlation Electricity Prevention and mitigation Process control Analytic hierarchy process Entropy power markets power system reliability Indexes Reliability

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Numerical investigation of the critical heat flux in a 5 × 5 rod bundle with multi-grid

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Nuclear Engineering and Technology 2022年第5期54卷 1914-1928页

作者： Liu, Wei Shang, Zemin Yang, Shihao Yang, Lixin Tian, Zihao Liu, Yu Chen, Xi Peng, Qian State Key Laboratory of Reactor System Design Technology Nuclear Power Institute of China Chengdu 610213 China School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing 100044 China

To improve the heat transfer efficiency of the reactor fuel assembly, it is necessary to accurately calculate the two-phase flow boiling characteristics and the critical heat flux (CHF) in the fuel assembly. In this paper, a Eulerian two-fluid model combined with the extended wall boiling model was used to numerically simulate the 5 × 5 fuel rod bundle with spacer grids (four sets of mixing vane grids and four sets of simple support grids without mixing vanes). We calculated and analyzed 11 experimental conditions under different pressure, inlet temperature, and mass flux. After comparing the CHF and the location of departure from the nucleate boiling obtained by the numerical simulation with the experimental results, we confirmed the reliability of computational fluid dynamic analysis for the prediction of the CHF of the rod bundle and the boiling characteristics of the two-phase flow. Subsequently, we analyzed the influence of the spacer grid and mixing vanes on the void fraction, liquid temperature, and secondary flow distribution. The research in this article provides theoretical support for the design of fuel assemblies. © 2021 Korean Nuclear Society

关键词： 5 × 5 rod bundle Critical heat flux Eulerian two-fluid model Flow boiling

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