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International Conference on Renewable Energy and Power Engineering (REPE)

作者： Nan Fu Bao Liu Yunfei Xu Sitong Zhu Kui Wang Yongdong Li State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang China

ISBN: (数字)9798350375558

ISBN: (纸本)9798350375565

The offshore wind power has been gaining increasing attention in recent years. Low-frequency alternating current (LFAC) transmission is emerging as a promising technology with specific advantages for offshore wind power transmission. This paper discusses the structure and control of the offshore wind power transmission system based on LFAC. In order to enhance the support for the power system, grid-forming control can be implemented on both sides of the modular multilevel matrix converter (M3C) used in LFAC. Additionally, the capacitor voltage control of M3C is briefly introduced. Furthermore, power reserve control is utilized to enable wind turbines to participate in primary frequency regulation. Finally, the effectiveness of the designed control system is verified through simulation using PSCAD/EMTDC, further demonstrating the efficacy of the strategy.

关键词： Current control Capacitors Wind power generation Wind farms control systems Wind turbines Voltage control Matrix converters Frequency control grid forming

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Load Flexibility Evaluation Method for Industrial Parks Based on SPA and TOPSIS

Load Flexibility Evaluation Method for Industrial Parks Base...

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System Simulation Technology and its Application (CCSSTA), IEEE China Conference on

作者： Yubo Wang Xiangyu Kong Yang Wang Haixuan Zhang Shunyu Wu Shuai Luo Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid Tianjin University Tianjin China State Grid Tianjin Electric Power Company Tianjin China State Grid Tianjin Electric Power Company Economic and Technological Research Institute Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

With the requirement for an increased share of renewable energy, park load flexibility is needed to balance fluctuations between supply and demand. The factors affecting the load flexibility of the park are analyzed from four dimensions: high quality, high efficiency, security, and low carbon. The index system for evaluating the load flexibility of the park is constructed. Given the relevance of the load flexibility assessment indexes of the park, the grey entropy algorithm is improved, and the combined assignment method is proposed to enhance the assignment of the indexes’ weights. The quantitative assessment method of park flexibility is proposed based on the coupling of SPA (Set Pair Analysis) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). The simulation shows that this method can solve the shortcomings of traditional TOPSIS well and make the quantitative assessment results of park load flexibility more accurate, which can be a guide for evaluating the flexibility of other urban industrial parks.

关键词： Couplings Technological innovation Supply and demand Green products Systems simulation Indexes Security Carbon Sustainable development Load modeling

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ANovel SCUC Model Considering Area control Errors and Resulting Penalties 7

ANovel SCUC Model Considering Area Control Errors and Result...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Miao, Yuancheng Song, Bingbing Wang, Lifeng Teng, Xiaobi Li, Yutong Chen, Zijie Chen, Sijie East China Branch of State Grid Corporation of China Shanghai China College of Smart Energy Shanghai Jiao Tong University Shanghai China Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai China Shanghai Non-Carbon Energy Conversion and Utilization Institute Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350345094

The traditional Security Constrained Unit Com-mitment (SCUC) model focuses on minimizing the total cost of electricity generation while ensuring system security and reliability. However, this model does not consider the possibility that Independent System Operators (ISOs) can intentionally allow for area control errors (ACE) to reduce energy purchase costs. This article incorporates ACE and its associated penalties into the SCUC model. Given specific penalty prices, the model can reflect the impact of considering ACE on an ISOs' power pur-chasing decisions. Experimental results show that when penalty prices are relatively low, ISOs are more profitable by generating ACE and paying penalties than by purchasing electricity from other ISOs or purchasing demand response from flexible loads. Therefore a high-enough penalty price is necessary to ensure system reliability. © 2023 IEEE.

关键词： Errors

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Carbon Emission Calculation and Low Carbon Transition Path Optimization Method for Electric Power Industry

Carbon Emission Calculation and Low Carbon Transition Path O...

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System Simulation Technology and its Application (CCSSTA), IEEE China Conference on

作者： Fanfan Yu Xiangyu Kong Shuai Luo Shunyu Wu Yubo Wang Yi Gao Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid Tianjin University Tianjin China Electric Power Company Economic and Technical Research Institute of State Grid Tianjin Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

With economic development, the energy and power industry must balance power supply growth and carbon reduction requirements. To achieve the goal of“double carbon”, the power system needs to be transformed into green and low-carbon, and accurate carbon emission accounting has become a critical support. Due to the significant differences between cities and regions, emission reduction strategies vary. To this end, the article firstly clarifies the carbon emission accounting boundary of power generation enterprises, establishes a carbon emission accounting model for the power industry based on the IPCC inventory method of fuel consumption, and secondly constructs an enterprise low-carbon transition planning model by integrating technological, economic, environmental and other factors, researches and analyzes the path of power generation enterprises to achieve carbon-neutral transition by 2060, and simulates different low-carbon transition scenarios. The results show that achieving carbon neutrality appropriately in advance is beneficial to power generation enterprises to a certain extent, but advancing the process of carbon neutrality too early will lead to soaringcosts. In addition,future policies will push forward the scale of installed energy storage, and enterprises should make good use of technical and resource reserves. The power industry needs to formulate appropriate low-carbon transformation strategies according to its reality to ensure that it realize a win-win situation regarding economic and social benefits while realizing the goal of carbon neutrality.

关键词： Analytical models Costs Green products Carbon neutral Market research Power industry Planning Fuels Power generation Energy storage

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control Strategy of DC-DC Converter With Diode Rectifier for All-DC Offshore Wind Farms

Control Strategy of DC-DC Converter With Diode Rectifier for...

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IEEE General Meeting Power& Energy Society

作者： Guanghui Zheng Botong Li Xiangping Kong Zijun Bin Yan Tao The Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Relay Protection Automation and Communication Technology Electric Power Research Institute State Grid Jiangsu Electric Power Co. Ltd. Nanjing China

ISBN: (数字)9798350381832

ISBN: (纸本)9798350381849

This paper investigates the control strategy of a DC-DC converter with modular multilevel converter (MMC) and diode rectifier (DR) face-to-face connection structure applied in all-DC offshore wind power system. To address the uncontrollability of the diode rectifier, this paper proposes a grid-forming control strategy based on the interdependencies among active power, reactive power, AC voltage amplitude, and frequency within this topology. The control objective is to enable the MMCs to establish a stable voltage and frequency for the AC system inside the DC-DC converter. Furthermore, the proposed control strategy also realizes the fast regulation of AC voltage and frequency during power fluctuations, contributing to the regular operation of the system under unstable conditions. Simulation results in PSCAD demonstrate the effectiveness of the proposed control strategy under startup and power fluctuation scenarios.

关键词： Reactive power Fluctuations Simulation Rectifiers DC-DC power converters Wind power generation Wind farms Frequency conversion Voltage control Frequency control

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Online Network traffic anomaly detection method combining OS-ELM and SADE

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IEEE Access 2023年 1-1页

作者： Dai, Shiyong Zhao, Yufei Huang, Jinhua Wang, Xuxian Zhao, Guifei Zhang, Lei Xie, Ming Guo, Ziyue China Southern Power Grid Key Laboratory of Power Grid Automation Laboratory Guangzhou Guangdong China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd Beijing China Beijing Institute of Electronic Information Technology Beijing China Power Research Institute of State Grid Gansu Electric Power Company Gansu China Guangxi Power Grid Co. Ltd Nanning Guangxi China Qingyuan Power Supply Bureau of Guangdong Power Grid Co. Ltd Qingyuan Guangdong China

Network traffic anomaly detection methods can detect traffic that is significantly different from normal traffic by analyzing network traffic, and are seen as an effective means to detect unknown new attacks because they do not rely on static feature codes. However, most of the current network traffic anomaly detection methods have low accuracy and high false alarm rate. In this paper, an OS-ELM (Online Sequential Extreme Learning Machine) network traffic anomaly detection method is proposed. First, we use SMOTE to balance the data samples to improve the classification detection performance. In order to reduce the high dimensionality between data features and eliminate the redundancy, the Stacked Denoising Autoencoder (SDAE) network is adopt to reduce the dimension of the feature vectors. Finally, we test the real network traffic and analyze the effect of model structure and external noise on the detection performance, and the experimental results verify the correctness of our scheme. Compared with other detection methods based on data reconstruction, the proposed method has higher detection accuracy and better detection performance. Author

关键词： Intrusion detection

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Optimization Method for Flexible Dispatch of Source, grid, Load and Storage Considering Different Photovoltaic Penetration Rates

Optimization Method for Flexible Dispatch of Source, Grid, L...

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System Simulation Technology and its Application (CCSSTA), IEEE China Conference on

作者： Man Wang Chunjie Wang Xiangyu Kong Haoyang Yao Yuan Niu Chao Wang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid Tianjin University Tianjin China State Grid Tianjin Electric Power Company Ninghe Power Supply Branch Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

As the scale of grid connection of renewable resources such as wind and solar continues to increase, it is difficult to meet system needs by relying solely on the existing single fast peak-shaving power source. Therefore, this paper aims at the power system scheduling problem under different photovoltaic penetration rates. First, the multi-dimensional characteristics of photovoltaics are modeled. Then, a system scheduling model for the interaction of four types of resources: conventional units, grid elasticity, load response, and energy storage is established. Finally, to minimize the system peak-shaving cost, the optimal system scheduling strategy under different photovoltaic penetration rates is obtained, and the dynamic matching of different photovoltaic penetration rates with the peak-shaving capacity of the power system is completed. A system scheduling strategy that can meet different photovoltaic penetration rates is proposed to ensure the power system’s balance of supply and demand and improve resource utilization.

关键词： Photovoltaic systems Wind Renewable energy sources Supply and demand Power system dynamics Optimal scheduling Dynamic scheduling Systems simulation Resource management Load modeling

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Identification of key Transmission Lines Based on Super Efficiency Data Envelopment Analysis Model

Identification of Key Transmission Lines Based on Super Effi...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Lingxu Guo Yuan Zeng Cheng Yao Xin Wang Wenxu Zhang Waiying Guo Power Dispatching and Control Center State Grid Tianjin Electric Power Company Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Tianjin Key Laboratory of Internet of Things in Electricity Tianjin Research Institute of Electric Science Tianjin China

Transmission lines are an important part of the power system. The selection of key transmission lines is conducive to the stable and safe operation of the transmission system. With the application of new technologies such as regional grid interconnection, wind power grid integration, and demand response, the internal structure and operating status of the power system are becoming more and more complicated. In view of this, this paper focuses on the comprehensive analysis and evaluation of key transmission line equipment, and proposes a comprehensive index calculation method based on the super-efficiency data envelopment analysis model to improve the key transmission line in the calculation of evaluation indicators. This paper also takes wind power and interruptible loads into consideration, uses situational awareness theory to divide the identification of key transmission lines into three phases: awareness phase, understanding phase, and prediction and presentation phase to evaluate and screen key transmission lines. Finally, taking the IEEE 24-node system as an example, the correctness and effectiveness of the method proposed in this paper are verified. The research work can provide useful references for system operators.

关键词： Analytical models Power transmission lines Wind power generation Data models Safety Indexes Security

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Ultra-short-term forecasting method of demand-side resource response transaction scale based on GAT-Transformer

Ultra-short-term forecasting method of demand-side resource ...

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

作者： Haohui Zeng Ziteng Liu Jianli Zhao Zhenlan Dou Cheng Li Ruping Shao College of Electrical Engineering and Control Science Nanjing Tech University Nanjing China Shanghai Key Laboratory of Smart Grid Demand Response State Grid Shanghai Electric Power Company Shanghai China State Grid Shanghai Municipal Electric Power Company State Grid Shanghai Electric Power Company Shanghai China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the transformation from "source-load interaction" to "source-load interaction," demand-side resources can improve the flexibility of power grid and promote the efficient use of clean energy by participating in power grid regulation. Due to the wide variety and different characteristics of demand side resources, the management of demand side is becoming more and more important. The accuracy of demand side resource transaction scale measurement is one of the keys to improve the resilience of power grid. In order to solve this problem, this study proposes an ultra-short-term forecasting method of demand-side resource response transaction scale based on GAT-Transformer. Firstly, the demand side resource transaction data and meteorological data are input into the GAT network, and the graph feature representation is extracted. Secondly, the feature representation is enhanced by combining category labeling and location embedding, and the dropout operation is applied to reduce the risk of overfitting. Finally, the Transformer module is used to further process the enhanced features, and the Multi-Layer Perceptron ( MLP ) is used to classify and output the final results. The experimental results show that compared with other prediction methods, the prediction results of this method are at least 0.232 lower in RMSE, 0.247 lower in MAE and 5.702 lower in MAPE.

关键词： Accuracy Power measurement System integration Predictive models Feature extraction Transformers Power grids Regulation Forecasting Resilience

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Analysis of action mechanism of positive sequence fault component directional element considering energy storage access

Analysis of action mechanism of positive sequence fault comp...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Feng Xue Jiawei He Bin Li Rui Mu Cheng Yao Yongwu Zhang Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Electric Power Research Institute State Grid Tianjin Electric Power Company Tianjin China Electric Power Dispatching and Control Center State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798350373479

ISBN: (纸本)9798350373486

When the energy storage system is connected to the AC distribution network, the action characteristics of the fault component direction element are different from other new energy systems due to its special control strategies and working modes. Under the same fault condition, the different charging and discharging modes of the energy storage system will lead to different operating characteristics of the positive sequence fault component direction element. Based on the control strategies and working modes of the energy storage system, this paper focuses on the phasor characteristics of the positive sequence voltage and current before and after the symmetrical fault of the AC side line connected to the energy storage system, and analyzes the action mechanism of the positive sequence fault component direction element. Finally, the correctness of the theoretical analysis is verified by PSCAD simulation.

关键词： Lead acid batteries Electrical engineering Reactive power Simulation Asia Distribution networks Fault location

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