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International Conference on power system Technology (powerCON)

作者： Cuiping Li Yang Liu Tianxun Zhang Zhiqiang Zhao Haojun Liu Xingxu Zhu Zhi Li Chenyu An Junhui Li Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Beijing Technology and Business University Beijing China State Grid Hami Power Supply Company Hami City Xinjiang Uygur Autonomous Region China Hami China

With the rise of the application of sharing economy in various fields of power system, As a typical application of shared economy in the field of energy storage, the optimal allocation of shared energy storage on the source-network-load side has been a great topic. The problem dealt with in this paper is the configuration result of the source-grid-load energy storage system under the same control strategy. This paper designs an optimization method for the source-network-load side configuration of generalized shared energy storage in regional power grid: Firstly, according to the extensional usage scenario and demand of energy storage, the alternative set of shared energy storage configuration is constructed. Secondly, based on the profit model of shared energy storage, a power system source-network-load optimization scheduling strategy is proposed. Finally, a numerical example is carried out to prove the feasibility and efficacy of the suggested method.

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Renewable Energy Forecast Considering Plateau Mountain and Ocean Climate Characteristics

Renewable Energy Forecast Considering Plateau Mountain and O...

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

作者： Weisi Deng Zhongfu Dai Haohuai Wang Siyu Lu Chonghao Li Ming Cheng Xianzhuo Liu Jiaqiu Hu Cong Lu Zichao Meng Ye Guo Hydropower and New Energy Department Power Dispatch and Control Center of China Southern Power Grid Guangzhou China New Power System Research Department State Key Laboratory of HVDC Electric Power Research Institute of China Southern Power Grid Company Limited Guangzhou China

This paper proposes a renewable energy prediction method adapted to the climate characteristics of plateau mountains and oceans in the southern region. The proposed approach contains four parts: data clearing, time-period data clustering, modeling for renewable forecasts, and feature-prediction accuracy correlation matrix calculation. Therein, the forecast algorithm is improved mainly from two aspects: 1) Time-period clustering for data is implemented before training the forecast models. Different forecast models are trained with clustered data sets for achieving overall higher performance in forecasts compared with the one directly trained based on the whole data set. 2) We analyze the impact of complicated climate features, such as plateau mountains and ocean climate, on model prediction results, and select critical climate features for different prediction tasks based on the feature-prediction accuracy correlation matrix, indicating great improvements in renewable energy prediction.

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Distributed Photovoltaic power Forecast Methods: A Review

Distributed Photovoltaic Power Forecast Methods: A Review

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

作者： Haohuai Wang Baorong Zhou Weisi Deng Zhongfu Dai Chonghao Li Siyu Lu Yanfeng Wang Hydropower and New Energy Department Power Dispatch and Control Center of China Southern Power Grid Guangzhou China New Power System Research Department State Key Laboratory of HVDC Electric Power Research Institute of China Southern Power Grid Company Limited Guangzhou China

Climate change and global warming threaten both nature and humanity. Renewable energy is an effective way to solve this problem. Distributed photovoltaics (DPV) have attracted much attention due to their low environmental impact. But the uncertainty of DPV output is putting pressure on the distribution network. Therefore, DPV power prediction is very important. In this paper, the factors affecting DPV yield are reviewed and the forecasting methods are summarized. The results show that geographical location, weather parameters, photovoltaic panel characteristics, and data noise will affect the prediction results. The main forecasting methods are statistical forecasting and principle forecasting. Statistical forecasting methods perform better in forecasting. In the future, prediction algorithms will need to be improved to adapt to different conditions, such as weather and time scales. Data preprocessing algorithms also help to improve the accuracy and stability of predictions.

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Analysis on Response Characteristics of control and Protection systems in Event of Measurement Anomalies for UHVDC Transmission system

Analysis on Response Characteristics of Control and Protecti...

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

作者： Shuai Yuan Gong Cheng Yiming Ren Qingsheng Zhao Dingkang Liang Minhong Yuan State Grid UHV Transmission CO.OF SEPC State Grid Power Supply Company Taiyuan China Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China State Grid Power Supply Company Taiyuan China

The measurement system in UHVDC systems mainly includes DC voltage measurement and DC current measurement, and the accuracy of its results is the key to ensure the reliable operation of the DC control and protection systems. In this paper, based on the analysis of the principle of the UHVDC transmission system, the ±800kV UHVDC transmission system model is constructed using PSCAD/EMTDC simulation software. The effects of rectifier-side DC current and DC voltage measurement faults on the response characteristics of the DC control and protection systems are investigated under different scenarios by superimposing different abnormal measurement values, and the simulation results are analyzed in conjunction with the control strategy and protection principles. The simulation results show that the DC system exhibits different response characteristics under different measurement anomalies. The deviation of rectifier-side DC current measurement affects the DC voltage, DC current and power transmission of the two stations and causes the protections to operate. And the abnormal DC voltage measurement causes the protections to operate falsely.

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Study on partial discharge of transformer based on wide frequency equivalent circuit

Study on partial discharge of transformer based on wide freq...

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IEEE International Conference on Energy Internet (ICEI)

作者： Changming Jiang Yuanxiang Zhou Ping Li Yunpeng Tang Zhiyang He Huan Li Jianning Chen Ka Mu North China Branch State Grid Corporation of China Bejing China Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University Bejing China State Grid Corporation of China Bejing China Electric Power Research Institute of State Grid Jibei Electric Power Company Limited Bejing China

ISBN: (数字)9798331523558

ISBN: (纸本)9798331523565

When partial discharge occurs in the transformer, it will produce higher frequency pulse current, high frequency phenomenon will enhance the circuit capacitance effect, making the circuit bandwidth, in order to detect the local discharge signal so as to realize the transformer for equipment monitoring, the establishment of the transformer broadband equivalent circuit model, the propagation law of partial discharge pulse current signal in the transformer is investigated, and the effects of four denoising methods are compared under different evaluation indexes; finally, a typical transformer partial discharge condition is studied, and the validity of the transformer partial discharge research based on the wide-band equivalent circuit is verified.

关键词： Partial discharges Grounding Windings Noise reduction Wavelet packets Frequency measurement Finite element analysis power transformers Integrated circuit modeling Equivalent circuits

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The staged optimal scheduling method for a multi-source industrial park with wind, solar, thermal, and energy storage 3

The staged optimal scheduling method for a multi-source indu...

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3rd International Conference on Smart Energy and Electrical Engineering, SEEE 2024

作者： Hao, Ling Xu, Hui Tan, Zhenlong Zheng, Zhibao Xu, Fei Yang, Ruixuan Xu, Zhenyu Dai, Xuhui State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China Co. Ltd. Beijing101199 China School of Economics and Management Tsinghua University Beijing100084 China State Key Laboratory of Power Transmission Equipment Technology Chongqing University Chongqing400044 China

The increase in the proportion of renewable energy generation capacity has placed significant pressure on thermal power operations. Constructing energy storage facilities within the metering output of thermal power plants, allowing them to participate in peak load regulation with generating units jointly, is one effective way to alleviate the operational pressure on thermal power. To achieve comprehensive scheduling of thermal power plants with energy storage, this paper first establishes an overall output model for the coupling operation of thermal power and energy storage. Secondly, a staged optimal scheduling method for a multi-source industrial park with wind, solar, thermal, and energy storage is proposed to solve the optimization scheduling problem for the industrial park involving thermal power plants with energy storage participation. Finally, the simulation results based on a specific regional power grid in Inner Mongolia validate the feasibility of the proposed method. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Thermoelectric power plants

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Fault Diagnosis of UHVDC Transmission system Based on Gated Recurrent Unit

Fault Diagnosis of UHVDC Transmission System Based on Gated ...

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power and Energy (PandaFPE), Panda Forum on

作者： Yiming Ren Shuai Yuan Gong Cheng Qingsheng Zhao Lei Wang Dingkang Liang Minhong Yuan Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China State Grid UHV Transmission CO.OF SEPC State Grid Power Supply Company Taiyuan China State Grid Power Supply Company Taiyuan China

The traditional method for detecting and classifying different types of faults in Ultra High Voltage Direct Current (UHVDC) has low accuracy rate and does not sufficiently exploit the information of timing characteristics in the electrical quantity signals, making it difficult to identify some system faults and measurement faults. This paper presents a fault diagnosis strategy which is based on Gated Recurrent Unit (GRU) to overcome these shortcomings. The study investigates three key GRU training factors, namely the amount of network layers, learning rate, and batch size, which may affect the training effect of GRU. And several sets of experiments are designed to determine the most suitable GRU network parameters. The classification effect of GRU is compared with that of RNN and LSTM, and the experimental results illustrate the high diagnostic accuracy of this approach. In addition, the method does not need to transform the data and can use the initial 1D time-series data as the network input, avoiding the loss of valid information and reducing the complexity of the fault diagnosis process.

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Design of Dual Band Microstrip Filter Based on SIR 19

Design of Dual Band Microstrip Filter Based on SIR

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19th International Conference on Optical Communications and Networks, ICOCN 2021

作者： Zheng, Xuemei Gao, Peng Han, Yaru Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China Jilin design department China Mobile Design Institute Co. Ltd Changchun China

ISBN: (纸本)9781665424462

As the core device in the field of communication, filter is developing towards miniaturization and high frequency. In this paper, a new dual frequency filter based on step impedance resonator is proposed. The resonant frequencies of the proposed stepped impedance resonator (SIR) dual frequency filter are 2.4GHz and 5.2GHz, and the isolation is greater than 20dB. © 2021 IEEE.

关键词： Microstrip filters

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Game Learning-Based Target Allocation of the UAV Confrontation system

Game Learning-Based Target Allocation of the UAV Confronta...

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International Conference on Guidance, Navigation and control, ICGNC 2024

作者： Hu, Yaxu Zhang, Yanling Xiao, Feng Key Laboratory of Intelligent Bionic Unmanned Systems School of Intelligence Science and Technology University of Science and Technology Beijing Beijing100083 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Control and Computer Engineering North China Electric Power University Beijing102206 China

ISBN: (纸本)9789819622313

Previous studies on the UAV swarm air combat decision-making problem lack consideration of uncertainty, intense confrontation, and high dynamics of aerial combat scenarios. This paper delves into the target allocation decision problem of the UAV attack and defense confrontation in a dynamic aerial combat environment. First, a dynamic game model is proposed to adapt changes in combat resources and adversaries’ behavior throughout multi-stage game processes. Then, the corresponding Nash equilibrium is solved based on a game learning algorithm- the Q-Learning algorithm. Finally, we consider the case where the UAV destructive probability is unknown, an uncertainty model is designed for predicting the UAV destructive probability based on the fuzzy comprehensive evaluation method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： fuzzy comprehensive evaluation game learning target allocation UAV swarm

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Combating air pollution significantly reduced air mercury concentrations in China

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National Science Review 2024年第9期11卷 202-212页

作者： Xinbin Feng Xuewu Fu Hui Zhang Xun Wang Longyu Jia Leiming Zhang Che-Jen Lin Jen-How Huang Kaiyun Liu Shuxiao Wang State Key Laboratory of Environmental Geochemistry Institute of GeochemistryChinese Academy of Sciences University of Chinese Academy of Sciences Air Quality Research Division Science and Technology BranchEnvironment and Climate Change Canada Center for Advances in Water and Air Quality Lamar University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University College of Environmental Science and Engineering North China Electric Power University

In the past decade, China has motivated proactive emission control measures that have successfully reduced emissions of many air pollutants. For atmospheric mercury, which is a globally transported neurotoxin,much less is known about the long-term changes in its concentrations and anthropogenic emissions in China. In this study, over a decade of continuous observations at four Chinese sites show that gaseous elemental mercury（GEM） concentrations continuously increased until the early 2010s, followed by significant declines at rates of 1.8%–6.1% yr-1until 2022. The GEM decline from 2013 to 2022（by38.6% ± 12.7%） coincided with the decreasing concentrations of criteria air pollutants in China and were larger than those observed elsewhere in the northern hemisphere（5.7%–14.2%）. The co-benefits of emission control measures contributed to the reduced anthropogenic Hg emissions and led to the GEM decline in China. We estimated that anthropogenic GEM emissions in China were reduced by 38%–50%（116–151 tons） from 2013 to 2022 using the machine-learning and relationship models.

关键词： atmospheric mercury long-term trend anthropogenic emission reductions co-benefits of clean air action

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