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7th International Conference on power and Energy Applications, ICPEA 2024

作者： Liu, Xiyang Liu, Tianhao Liu, Yutian Li, Zhendong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Laiwu Power Supply Company State Grid Shandong Electric Power Company Laiwu China

ISBN: (纸本)9798350356113

The continuous increase of new energy generation and AC-DC interconnection make the transient voltage stability of the receiving-end power grid more and more complicated. In order to realize the rapid assessment of transient voltage stability, a one-dimensional Convolutional Neutral Network (CNN) for transient voltage stability assessment (TVSA) is constructed by selecting the features reasonably on the basis of using the Agglomerative Hierarchical Clustering (AHC) algorithm to partition the receiving-end grid. In order to enhance the assessment work, the Gradient-weighted Class Activation Mapping (Grad-CAM) algorithm is utilized to find out the concerns of the model to features, and the model knowledge of the neural network is analyzed on the basis of surveying on a large number of samples. Based on the transient voltage stability mechanism and the concerns of deep learning model, the factors that cause transient voltage instability are analyzed. The effectiveness of the proposed method is demonstrated by the case study of a provincial grid in eastern China. © 2024 IEEE.

关键词： Transient stability

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Simulation Analysis of EFDC of Oil-Paper Insulation under Typical Electrode Structures with the Influence of Harmonic Voltage 9

Simulation Analysis of EFDC of Oil-Paper Insulation under Ty...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Zhang, Ning Hao, Jian Xu, Jing Wang, Jixiang Chen, Houhe Liao, Ruijin Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin China Chongqing University State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing China

ISBN: (纸本)9798350309638

The primary sources of harmonic distortion in the new power system are a high percentage of access to power electronic equipment and a high percentage of renewable energy grid connections. These factors pose a major risk to the UHV converter transformer oil-paper insulation performance. However, the influence law of harmonic voltage on the electric field distribution characteristics (EFDC) of oil-paper insulation is still unclear;thus, the law of variation of spatial maximum electric field strength (SMEFS) under the action of harmonic voltage and the EFDC on the surface of oil-immersed insulating paper are investigated in this paper by building a two-dimensional simulation model of the electric field distribution of oil-paper insulation under ball-plate and cylinder-plate electrode structure. The results indicate that the two electrode structures' SMEFS are situated in the narrow oil gap between the oil-impregnated insulating paper and the high-voltage electrode;under the influence of the same harmonic components, the insulating paper's surface exhibits an inverse power function decay in the electric field distribution, with the cylinder-plate electrode decaying more quickly than the ball-plate electrode. Meanwhile, for both electrode structures, with the increase of the 5th and 13th harmonics, the SMEFS and the insulating paper surface field strength both increase linearly and are higher than that of the power frequency field strength, while for the 7th and 11th harmonics, the ball-plate electrode weakens the electric field and then increases it with the increase of the harmonic content, whereas the cylinder-plate electrode only increases the electric field. © 2024 IEEE.

关键词： Electric fields

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Overvoltage Suppression Strategy Based on Active control of Current for Half-Wave Commutated Modular Multilevel Converters 14

Overvoltage Suppression Strategy Based on Active Control of ...

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14th International Conference on power and Energy systems, ICPES 2024

作者： Liu, Bao Xu, Yunfei Zhao, Guoliang Fu, Nan Jia, Chen China Electric Power Research Institute State Key Laboratory of Advanced Power Transmission Technology Beijing China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China Electric Power Research Institute State Grid Liaoning Electric Power Co. Ltd. Shenyang China

ISBN: (纸本)9798350391329

Flexible low-frequency AC transmission technology combines the advantages of 50 Hz AC transmission and DC transmission, and has good application scenarios. High voltage and large capacity AC/AC converters are the core equipment of flexible low-frequency AC transmission systems. The proposal of half-wave commutated modular multilevel converters effectively reduces the number of components and improves system economy. In view of this, this paper proposes an overvoltage suppression strategy for active control of inductor current, which effectively reduces the overvoltage level during commutation. The article first introduces the sparse topology and mathematical model of the half-wave commutated modular multilevel converters. Secondly, the mechanism of overvoltage generation is analyzed. Then, overvoltage suppression strategies are proposed. Finally, a PSCAD simulation model is built to verify the effectiveness and feasibility of the proposed method through simulation. © 2024 IEEE.

关键词： Flexible AC transmission systems

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A Missing Data Imputation Method for Electricity Consumption Data Based on TCN-Attention with Mask Tokens 4

A Missing Data Imputation Method for Electricity Consumption...

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4th International Conference on Consumer Electronics and Computer Engineering, ICCECE 2024

作者： Mao, Yifeng Yang, Ming Li, Peng Ou, Zhujian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Nantong Power Supply Company State Grid Jiangsu Electric Power CO. LTD. Nantong China

ISBN: (纸本)9798350384062

With the popularization of smart meters, power companies can collect massive amounts of data from users for non-invasive load detection, electricity theft detection, etc. However, due to faults in smart meters and abnormal communication, the dataset often has missing values, making it difficult for data-driven methods to be widely applied. In this paper, we propose an unsupervised learning method based on TCN-Attention to fill in customers' electricity consumption data. Firstly, we extract electricity consumption features through TCN. In order to improve the feature extraction capability, we introduce a channel attention mechanism to TCN. The attention mechanism makes TCN focus on the effective features in the data by assigning weights. Meanwhile, we use mask tokens to cover a certain proportion of data, forcing the proposed model to learn potential feature representations of the data during the training process. Finally, the features are restored to data through feedforward neural networks. An example is given to verify the effectiveness of the proposed method. © 2024 IEEE.

关键词： Smart meters

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind systems Based on Particle Swarm Optimization and Neural Networks 4

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhao, Yanjun Hu, Yufeng Zhang, Jie Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Dynamic economic evaluation of hundred megawatt-scale electrochemical energy storage for auxiliary peak shaving

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Protection and control of Modern power systems 2023年第3期8卷 252-269页

作者： Junhui Li Gang Mu Jiahui Zhang Cuiping Li Gangui Yan Haotian Zhang Guohang Chen Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China State Grid Zhejiang Pinghu City Electric Power Supply Company.LTD. Pinghu 314200Zhejiang ProvinceChina.

With the rapid development of wind power,the pressure on peak regulation of the power grid is ***-chemical energy storage is used on a large scale because of its high efficiency and good peak shaving and valley fill-ing *** economic benefit evaluation of participating in power system auxiliary services has become the focus of attention since the development of grid-connected hundred megawatt-scale electrochemical energy storage systems(ESS).Based on the relationship between power and capacity in the process of peak shaving and valley filling,a dynamic economic benefit evaluation model of peak shaving assisted by hundred megawatt-scale electrochemi-cal ESS considering the equivalent life of the battery is *** model considers the investment cost of energy storage,power efficiency,and operation and maintenance costs,and analyzes the dynamic economic benefits of dif-ferent energy storage technologies participating in the whole life cycle of the power ***,according to the cur-rent ESS market environment,the auxiliary service compensation price,peak-valley price difference and energy stor-age cost unit price required to make the energy storage technology achieve the balance of payments are calculated,and the economic balance points of different energy storage types are ***,based on the measured data of different provincial power grids,the economies of six energy storage types applied to three provincial power grids are compared and analyzed,and the rationality and effectiveness of the relevant models proposed are *** work has theoretical guiding significance for the economic benefit evaluation of hundred megawatt-scale electro-chemical energy *** 1 A proportional relationship between grid filling power and capacity demand is *** is used to determine the energy storage configuration for auxiliary peak shaving.2 A dynamic economic evaluation model considering energy storage investment and mai

关键词： auxiliary valley electrochemical

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Compact Valve Hall Layout of DC Transformer for Offshore Wind Farm All-DC Collection Platform 7

Compact Valve Hall Layout of DC Transformer for Offshore Win...

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2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Huang, Junwei Chao, Wujie Deng, Chaoping Dai, Liyu Wang, Jinke Electric Power Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou350007 China Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou350007 China

To solve the problems of high investment cost, difficulty in improving AC collection efficiency, and broadband resonance in flexible DC transmission of offshore wind power, researchers have proposed an all-DC collection system. To further optimize the economic efficiency of offshore wind farm engineering, this paper studies on the compact valve hall layout of DC transformer for offshore wind farm all-DC collection platforms. The minimum air clearance inside the valve hall was determined based on the insulation level of the DC transformer, and a compact valve hall layout plan for the DC transformer was proposed, taking into account factors such as the electrical main wiring scheme, weight distribution, and symmetrical balance. The proposed compact valve hall layout scheme for DC transformers can reduce the volume of offshore all-DC collection platforms, save engineering construction costs, and improve the efficiency of offshore wind farms. This article can provide reference and guidance for subsequent research on all-DC collection and economic transmission of large-scale offshore wind farms. © Published under licence by IOP Publishing Ltd.

关键词： Offshore wind farms

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Research on 220kV Spare power Automatic Switching Equipment Standardized Application of Local functions Based on Real-Time Simulation∗ 5

Research on 220kV Spare Power Automatic Switching Equipment ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Huang, Zhida Wu, Wencong Cai, Haiqing Zhu, Yihua Huang, Libin Chang, Dongxu State Key Laboratory of Hvdc Electric Power Research Institute Csg National Energy Power Grid Technology R&d Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Csg Key Laboratory for Power System Simulation Guangzhou China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Currently, the power grid is carrying out the standardized design and application of 220kV spare power automatic switching equipment. It is more difficult to carry out the on-site standby automatic switching function test in the actual power grid. The power supply department urgently needs a simulation environment that can truly simulate the actual power grid to support the development of this functional test. Real-time simulation has the ability to carry out on-site automatic transfer function tests in terms of technical feasibility. To verify its effectiveness, this paper built a standardized closed-loop test system for 220kV spare power automatic switching equipment based on real-time simulation. A number of tests have been carried out for the automatic switch-on function of on-site equipment, and the device action events on the actual site have been inverted. The test results show that the established RTDS real-time simulation model has the ability to simulate the actual 220kV power grid. It has been verified that the action logic of the standby automatic input device in various modes meets the requirements of the standard specification, which strongly supports the standardized application of the 220kV spare power automatic switching equipment function of the power grid. © 2022 IEEE.

关键词： Switching

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Influence of Capacitive Voltage Transformer Parameters on Harmonic Transmission Characteristics 12

Influence of Capacitive Voltage Transformer Parameters on Ha...

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12th International Conference on Renewable power Generation, RPG 2023

作者： Li, Xindong Wu, Tonghua Lv, Yichao Jiang, Jiaheng Zhang, Chenhao State Key Laboratory of Smart Grid Protection and Operation Control State Grid Electric Power Research Institute Nanjing China Xi'an Jiaotong University Xi'an China

Capacitive voltage transformer (CVT) has the advantages such as low insulation cost, small size and large electric field strength margin, so it is widely used in voltage measurement, relay protection and high frequency communication. However, CVT has the capacitors and inductors in its structure, these components are sensitive to frequency, so it can not accurately measure harmonics. Considering the stray capacitance and coupling capacitance of capacitive voltage transformer, the broadband response equivalent circuit model of CVT is established, and a cascade hierarchical analysis method is proposed to deduce the complete transfer function. On this basis, the influence of key parameters of CVT on harmonic transmission characteristics is simulated and analysed. The simulation results show that the increase of compensation reactor stray capacitance will make the resistance band move to the low frequency direction, the stray capacitance of the primary side of the intermediate transformer affects the attenuation degree of the high frequency band, and the effect of secondary side of transformer stray capacitance on the frequency response of CVT can be ignored. The results have reference significance for accurate harmonic measurement and manufacturing of CVT. © The Institution of Engineering & Technology 2023.

关键词： Relay protection

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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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2024 IEEE IAS Industrial and Commercial power system Asia, I and CPS Asia 2024

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

ISBN: (纸本)9798350352290

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. © 2024 IEEE.

关键词： Wind forecasting

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