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Energy, power and Electrical Engineering (EPEE), International Conference on

作者： Qianqian Xu Qihui Liu Xipeng Cai Yihua Zhu Chao Luo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

Full DC of offshore wind farms is the future development trend of large-scale offshore wind farms, however, the probability of DC line faults is high, and the use of DC circuit breakers can realise the fault ride-through of offshore full DC wind farms, improve the safe operation of the system during faults, and is one of the mainstream solutions to realise DC fault isolation. In this paper, a capacitive DC circuit breaker suitable for offshore full DC grid is proposed, which can effectively suppress the fault current by introducing a current limiting device. The topology and working principle of this circuit breaker are analysed, and the circuit breaker fault handling process is theoretically analysed. Finally, for the single-end equivalent system using capacitor-type DC circuit breaker, a simulation model is established in Matlab/Simulink software for verification, and the simulation results show that the proposed circuit breaker has a better current limiting effect and has the ability to isolate faults quickly.

关键词： Thyristors Limiting Circuit breakers simulation Wind farms Software Topology Circuit faults Fault currents Switching circuits

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Research on Current Balance control of Off-Grid Inverter with Asymmetric Load

Research on Current Balance Control of Off-Grid Inverter wit...

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China International Conference on Electricity Distribution, CICED

作者： Tongfei Cui Fang Fang Xiaojun Li Tengkai Yu Qi Zhang Jingyuan Dong Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute Shijiazhuang China Operation and Maintenance Department Pingxiang County power supply branch company State Grid Xingtai Power Supply Company Xingtai China

ISBN: (数字)9798350368345

ISBN: (纸本)9798350368352

Off-grid inverters can maintain the current output balance even when the load is asymmetrical, which is very important for the efficient and economical operation of the micro-grid system composed of new energy. In this paper, a single three-phase voltage source inverter with unbalanced load is taken as an example to study the unbalanced mechanism, and a simple and effective current balance control strategy is proposed. Firstly, the current output characteristics of off-grid inverter are analyzed when the load is asymmetric. Then, a negative sequence component extraction method based on SOGI is adopted, and an unbalanced current suppression method is designed on the basis of this extraction method. Finally, the PLECS simulation model is used to verify the results. The results show that this strategy can effectively suppress the output current distortion caused by load asymmetry, and obtain high quality current output waveform.

关键词： Current control Fluctuations Voltage source inverters Distortion Voltage control Frequency control Load modeling

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A Data-driven Method for Transient Stability Margin Prediction Based on Security Region

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Journal of Modern power systems and Clean Energy 2020年第6期8卷 1060-1069页

作者： Jun An Jiachen Yu Zonghan Li Yibo Zhou Gang Mu the Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology(Northeast Electric Power University) Ministry of EducationJilin 132012China China Electric Power Research Institute Beijing 100192China

Transient stability assessment(TSA)based on security region is of great significance to the security of power *** this paper,we propose a novel methodology for the assessment of online transient stability *** with a geographic information system(GIS)and transformation rules,the topology information and pre-fault power flow characteristics can be extracted by 2 D computer-vision-based power flow images(CVPFIs).Then,a convolutional neural network(CNN)-based comprehensive network is constructed to map the relationship between the steady-state power flow and the generator stability indices under the anticipated contingency *** network consists of two components:the classification network classifies the input samples into the credibly stable/unstable and uncertain categories,and the prediction network is utilized to further predict the generator stability indices of the categorized samples,which improves the network ability to distinguish between the samples with similar *** proposed methodology can be used to quickly and quantitatively evaluate the transient stability margin of a power system,and the simulation results validate the effectiveness of the method.

关键词： Security region computer-vision-based power flow image(CVPFI) transient stability margin convolutional neural network(CNN) comprehensive network

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An Optimized control Strategy for Distributed Energy Storage system to Reduce the Peak-valley Difference of Distribution Network 4

An Optimized Control Strategy for Distributed Energy Storage...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Saren, Gaowa Sun, Zhebin Liang, Tao Li, Hengzhen Liu, Pengxuan Ma, Dexuan Zhang, Hao Sun, Dapeng Yan, Jiaqi Li, Cuiping Li, Junhui Inner Mongolia Power Technology Research Institute Hohhot China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Jilin China

ISBN: (纸本)9781728171494

Accompanied by energy structure transformation and the depletion of fossil fuels, large-scale distributed power sources and electric vehicles are accessed to distribution network that result in the load peak-valley gap increasing. Energy storage system (ESS) possessed the characteristics such as quick response, precise control and energy bidirectional flow. Therefore, the configuration of ESS in grid is a feasible measure to reduce the difference between peak load and valley load. This paper presents a superior control strategy that uses distributed energy storage to smooth load fluctuation of grid. Set the time scale to one day, constraints such as energy storage capacity, power and state of charge are taken into account, and the calculation examples are designed based on the proposed the evaluation index compares the effect of optimized control strategy given in this paper with the current common constant power strategy, which proves the feasibility and effect of the presented method. © 2021 IEEE.

关键词： simulation platform

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Modelling and Analysis of Damping Characteristics of Grid Following Converter

Modelling and Analysis of Damping Characteristics of Grid Fo...

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2022 IEEE power and Energy Society General Meeting, PESGM 2022

作者： Shen, Qian Li, Guanqun Ye, Hua Xie, Yongsheng Chen, Junru State Grid Jinan Power Supply Company Jinan250012 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China State Grid Xinjiang Electric Power Co. Ltd Urumqi830002 China Xinjiang University Urumqi830046 China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

The synchronization instability is one of the main issues for the operation of grid-following converter (GFL). Analogizing to the synchronous generator mechanism, GFL synchronism can be modelled in the form of swing equation. Thus, under the assumption that the damping is negligible, the equal area criterion (EAC) method is used to determine the GFL synchronization stability. However, in practice the damping is significant and inconstant during the transients. Sometimes, the damping becomes negative during the transients even is positive in the pre-fault, and resulting in the instability. The effect of the damping on the synchronization stability has not been thoroughly investigated. This paper visually reveals this effect. The simulation results show that the negative damping of GFL may lead to an optimistic prediction of synchronization stability by EAC method. © 2022 IEEE.

关键词： Damping

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Carbon-oriented Local Integrated Energy system Multi-energy Coupling Market Design 5

Carbon-oriented Local Integrated Energy System Multi-energy ...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Li, Jifeng Li, Jinghua He, Xingtang Luo, Hao Dalian Electric Power Supply Company State Grid Liaoning Electric Power Supply Co. Ltd Dalian China Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

ISBN: (纸本)9781665434256

Under the background that countries all over the world constantly advocate energy conservation and emission reduction and seek to deepen the reform of power systems and introduce new energy trading policies, this study constructed a carbon-oriented local integrated energy system multi-energy coupling market architecture. This construct was aimed at problems that current multi-energy coupling market research has not considered, including multi-energy substitution characteristics and carbon emission factors. First, taking the local integrated energy system as the main physical architecture, a multi-energy coupling market architecture was constructed combining the main market participants of different energy subsystems. Second, a model of the subsystem markets in the energy coupling market, and the joint clearing method were proposed. Finally, the guiding role of the energy coupling market was analyzed by simulation for reasonable pricing and carbon emission reductions of different energy market operators. © 2021 IEEE

关键词： Carbon

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power system Transient Stability Analysis Based on Transformer and Supervised Contrastive Learning

Power System Transient Stability Analysis Based on Transform...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Tinghui Zhou Ligang Zhao Hongyue Zhen Yuankang Li Tannan Xiao Ying Chen CSG Electric Power Research Institute China Southern Power Grid Guangzhou China Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

Transient stability analysis (TSA) is crucial for maintaining the stability of power systems. Compared to traditional dynamic simulations, neural network-based power system TSA models have been widely applied in recent years due to their strong nonlinear mapping capability and fast prediction speed. In this paper, a new TSA approach is proposed based on the Transformer neural network, which combines the encoder-decoder architecture and the attention mechanism. A multi-channel feature extraction structure and a supervised contrastive learning algorithm are utilized to mitigate the overfitting phenomenon and enhance the generalization capability of the proposed model, resulting in competitive performance. The efficacy of the proposed TSA method is validated by the superior performance in the standard IEEE 39-bus test case.

关键词： Renewable energy sources Contrastive learning power system stability Predictive models Transformers Feature extraction Stability analysis Transient analysis Standards Overfitting

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A New power system Flexibility Evaluation Method Considering Wind Curtailment 2

A New Power System Flexibility Evaluation Method Considering...

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2nd IEEE China International Youth Conference on Electrical Engineering, CIYCEE 2021

作者： Tang, Junyi Dong, Xuetao Qin, Yanhui State Grid Xinjiang Electric Power Research Institute Urumqi830001 China Xinjiang Key Laboratory of Whole Process Simulation for Power System Urumqi830001 China

ISBN: (纸本)9781665400640

Aiming at the problems of wind power casting and lack of flexibility in new power system after large-scale wind power integration, a flexibility evaluation method considering wind power curtailment means is proposed in this paper. Firstly, the flexibility demand of wind power system is reflected by the net load curve, and the flexibility supply of conventional units is evaluated by probabilistic production simulation. Then, based on the probability distribution model of effective capacity, the flexibility indicators are defined according to the supply and demand relationship. On the basis of the probability distribution of downward flexibility shortage, the distribution of wind power curtailment is completed, and the flexibility indicators considering the means of wind power curtailment are obtained through flexibility evaluation. Finally, based on the IEEE RTS-24 system data, the proposed indicators are simulated and analyzed to verify the effectiveness of the proposed evaluation method. © 2021 IEEE.

关键词： Wind power

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Equivalent Value Evaluation of Wind Coal Based on Multi-Scenario Stochastic Programming

Equivalent Value Evaluation of Wind Coal Based on Multi-Scen...

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International Conference on power system Technology (powerCON)

作者： Zhi Li Yuanyuan Wang Xinyan Su Xiangzhen Ji Guannan Bao Juncheng Si Li Zhang Power Dispatching Control Center State Grid Shandong Electric Power Company Jinan China Dongying Power Supply Company State Grid Shandong Electric Power Company Dongying China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

The diversity of power supply structure increases the diversity of power generation resources, but it also brings the problem of how to correctly understand the value of power supply. In particular, to implement the carbon peaking and carbon neutrality goals, not only the power generation cost but also its carbon reduction effect should be considered in the value of power generation resources. In view of the conversion of wind-coal value, this paper refers to the concept of the water-coal conversion coefficient, proposes the wind-coal value conversion coefficient, and establishes its analysis method, so as to realize the reasonable evaluation of the value of wind power and coal power in new power system dispatching. Based on the analysis of the technical characteristics of wind power generation, the prediction error of wind power was modeled using the scenario generation method, and carbon cost and green certificate revenue were introduced to construct a multi-scenario stochastic planning and scheduling model with the minimum total cost of electricity purchase. The model was solved based on the KKT condition, and the explicit expression of the wind-coal value conversion coefficient was derived by the Lagrange multiplier. Finally, a 4-unit system is taken as an example to verify that the proposed wind-coal value conversion coefficient can realize the equivalent value evaluation of wind coal, and the influence of the inequality constraint reaching the limit on the wind-coal value conversion coefficient is further discussed.

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A Preliminary Study on the Application of Large Language Models in power system simulations

A Preliminary Study on the Application of Large Language Mod...

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International Conference on power and Energy Technology (ICPET)

作者： Xinwei Sun Yunyang Xu Tannan Xiao Han Diao Shaowei Huang Bo Zhou Wei Wei State Grid Sichuan Electric Power Research Institute Chengdu China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The digital update of power systems requires the support of intelligent application systems. Therefore, this paper investigates the utilization of a cutting-edge artificial intelligence technology called the Large Language Model (LLM) in power system simulations. The study provides a comprehensive overview of the key techniques employed in developing advanced simulation applications using LLMs, including retrieval-augmented generation and chain-of-thought prompting. Moreover, the paper showcases the development of two intelligent simulation applications on the CloudPSS, which is a high-performance cloud simulation platform for energy internet. The process of application development is described in detail, and the operational outcomes are presented to demonstrate the initial validation of the LLM's ability to initiate simulation tools and generate simulation codes.

关键词： Cloud computing Codes Large language models power system simulation power system dynamics Retrieval augmented generation Robustness power industry Security Protection

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