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Virtual Inertia Enhancement of DC Microgrid Based on Adaptive Motor Load control 8

Virtual Inertia Enhancement of DC Microgrid Based on Adaptiv...

引用

8th International Conference on Power and Renewable Energy, ICPRE 2023

作者： Hu, Sizhe Li, Yong Fan, Cheng Feng, Zheng He, Yangyang Tai, Nengling Liu, Qi Shanghai Jiao Tong University Key Laboratory of Control of Power Transmission and Conversion Ministry of Education Shanghai China Xinjiang Silk Road Kunyuan Energy Co. Ltd China Shanghai Jiao Tong University College of Smart Energy Shanghai China State Grid Shanghai Electric Power Company Shanghai China

ISBN: (纸本)9798350328813

To enhance the dynamic stability and security of voltage and improve the inertial response of the DC microgrid after disturbances, this paper proposes a model predictive control (MPC) based method for regulating the speed of motor load, effectively utilizing controllable load resources without the need for additional energy storage devices. Firstly, a linear discrete model of the DC microgrid with motor load is established to predict the future trends of various system state variables. Secondly, a controller is designed with the objective of restraining the rate of DC voltage variation, and constraints are imposed on the rate of change of motor speed and their maximum response range. At each sampling time, the optimal speed adjustment is computed to achieve active response of the motor load. Finally, the feasibility and effectiveness of the proposed method are validated through MATLAB/Simulink simulation under typical operating conditions. © 2023 IEEE.

关键词： DC microgrid model predictive control motor load virtual inertia

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Research on Mapping Method Between smart Energy and Intelligent Sensing Terminal

Research on Mapping Method Between Smart Energy and Intellig...

引用

2022 IEEE International Conference on High Voltage Engineering and Applications, ICHVE 2022

作者： Liu, Siyang Mao, Yuxing Long, Yunfeng Pan, Jianyu Jiang, Tianyan Nie, Yongjie School of Electrical Engineering Chongqing University State Key Laboratory of Power Equipment & System Security and New Technology Chongqing China Electric Power Measurement Digitalization Control and Protection Yunnan Power Grid Co. Ltd. Yunnan Key Laboratory of Green Energy Yunnan Kunming China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

In the process of smart city construction, each city has its characteristics, so we should implement policies according to the city. smart energy is an important cornerstone of smart city construction. This paper proposes a mapping method between smart energy and Intelligent Sensing Terminal. Firstly, a typical application scenario design of the smart city is proposed. Then, the smart city application scenario fitness calculation model is given combined with the analysis of macro and micro scenes. Finally, Intelligent Sensing Terminal and scene mapping mechanism are proposed by a new two-dimensional coding method. This method can quickly and effectively calculate the location to be arranged and the optimal number of devices, so as to reduce resource consumption and improve the quality of perceived data. © 2022 IEEE.

关键词： smart city

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Optimization and Scheduling of Wind-Photovoltaic-Integrated Energy System Based on ISSA

Optimization and Scheduling of Wind-Photovoltaic-Integrated ...

引用

Clean Energy Storage and Power Engineering (CESPE), International Conference on

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

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

A multi-objective scheduling model of the park integrated energy system (PIES) with an improved Sparrow Search Algorithm (ISSA) is proposed for the problem of economy, stability, and environmental protection of PIES containing photovoltaic cells, wind turbines, and batteries. PIES includes three kinds of electricity, heat, and gas loads, as well as coal-fired units, gas units, wind, and photovoltaic power generation units. Aiming at the economic dispatching problem of PIES by dispatching model of PIES of the park is carried out. Economic cost and utilization rate of clean energy are taken as objective functions. The ISSA algorithm is used to solve the multi-objective function, and the example analysis shows that the proposed model is conducive to reducing the total cost of system operation. The result of the example verifies the feasibility, superiority, and applicability of ISSA in solving the multi-objective optimal scheduling store.

关键词： Green energy Costs Spirals Systems operation Optimal scheduling Wind power generation Dispatching Stability analysis Wind turbines Load modeling

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A Web Attack Detection Method Based on DistilBERT and Feature Fusion for Power Micro-Application Server

A Web Attack Detection Method Based on DistilBERT and Featur...

引用

Advanced Electronics, Electrical and Green Energy (AEEGE), International Conference on

作者： Li Nige Chen Lu Zhao Lei Teng Zhenning Wang Zhiqiang Shao Yiyang Gui Xiaolin State Grid Smart Grid Research Institute Co. Ltd. State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing China Shaanxi Province Key Laboratory of Computer Network Faculty of Electronic and Information Engineering Xi’an Jiaotong University Xi’an China

The widespread use of power micro-applications has significantly expanded the attack surface of their server side, thus increasing the risk of vulnerability attacks such as SQL injection, XSS, and CRLF injection. To ensure the security of power systems, these attacks must be detected precisely and timely. Therefore, this paper proposes a server-side web attack detection method based on DistilBERT and feature fusion for HTTP and HTTPS requests. The method treats HTTP and HTTPS requests as text data, specifically, extracts deep semantic features using DistilBERT, and fuses them with well-designed empirical features to comprehensively characterize and classify the request. Consequently, anomalous requests can be detected. The experimental results show that the accuracy, precision, recall, and F1 score of the method on HTTP CSIC 2010 and FWAF datasets are close to or higher than 99%. Compared with other methods as far as we known, this method has better performance and efficiency.

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Metallic Short Circuit Fault Location Algorithm Considering Capacitance Current based on Differential Equation

Metallic Short Circuit Fault Location Algorithm Considering ...

引用

International Conference on Power System Technology (POWERCON)

作者： Huirong Liu Yuping Zheng Tonghua Wu Feng Hong Wei Dai Xindong Li State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing China

ISBN: (纸本)9781665407380

Capacitance current has significant effect on long-distance fault of high-voltage transmission line, and the current single-ended quantity location algorithm can hardly eliminate the effect of capacitance current under the power frequency. To reduce capacitance current’s effect on location algorithm, this paper builds metallic grounding fault model based on RLC type circuit, takes fault location as the unknown variable, builds a mathematical location model within time domain applicable for taking account of capacitance current, and obtains the quadratic equation with one unknown for fault location. Then it substitutes the two independent variables for the linear term and quadratic term, solves independent variables through linear equation, and proves the solution exists and is unique. Then under analysis on the same difference error, it compares magnitude of error generated during calculation of the two independent variables, it corrects difference error first, and inversely solves fault location by selecting the numerically disturbed smaller independent variable. Simulation results indicate the algorithm can accurately take account of effect of capacitance current under different metallic fault conditions, and solve fault location in a stable and accurate manner.

关键词： Time-frequency analysis Power transmission lines Simulation RLC circuits Fault location Capacitance Mathematical models

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Analysis of the Impact of Urban and Electric Power Big Data Economy on Pollution Reduction and Carbon Reduction Based on Benchmark Regression Model

Analysis of the Impact of Urban and Electric Power Big Data ...

引用

Clean Energy Storage and Power Engineering (CESPE), International Conference on

作者： Zixuan Qi Xiangyu Kong Yang Wang Yi Gao Shuai Luo Tianchun Xiang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China China State Grid Tianjin Electric Power Company Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

Currently, in promoting ecological civilization construction in China, the coordinated governance of pollution and carbon reduction is regarded as the core strategy and implementation focus. As a new economic transformation and upgrading model, the Electric power big data economy is becoming essential in promoting this process. The entropy method is used to construct evaluation indicators for the Electric power big data economy, pollution reduction, and carbon reduction. Subsequently, a benchmark regression model was built for testing based on carefully considering other variables that may affect pollution reduction and carbon reduction through benchmark regression analysis. Finally, exploring the diversity and specificity of the impact of the Electric power big data economy on pollution reduction and carbon reduction from different dimensions - regional economic differences, Electric power size classification, and specific backgrounds of each city's development stage aims to provide targeted strategic recommendations for policymakers, ensuring the coordinated promotion of the healthy development of Electric power big data economy and environmental protection goals.

关键词： Economics Analytical models Pollution Biological system modeling Urban areas Carbon dioxide Big Data Benchmark testing Data models Power systems

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Comprehensive Evaluation Index System and Method for Reactive Power Support Capability of Wind/Photovoltaic/Storage Power Stations

Comprehensive Evaluation Index System and Method for Reactiv...

引用

IEEE International Conference on Cyber Technology in Automation, control, and Intelligent Systems

作者： Jinyuan Fang Kai Hou Yingwei Jiang Bingtuan Gao Guozhong Zhang Xuewei Shi School of Electrical Engineering Southeast University Nanjing Jiangsu China State Key Laboratory of Smart Grid Protection and Control Nanrui Group Co. Nanjing Jiangsu China State Grid Hebei Zhangjiakou Scenery Storage and Transmission New Energy Co. Ltd Zhangjiakou Hebei China

High proportion of renewable energy integrated into the power grid results in lower system inertia and deterioration of voltage characteristics. Understanding the reactive power support characteristics of wind/photovoltaic (PV) /storage power station is critical for achieving coordinated control of their reactive power. In this regard, the paper proposes a comprehensive evaluation index system that considers voltage, reactive power support, and reactive power control to evaluate the reactive power support capability of wind/photovoltaic/storage power station. To validate the effectiveness of the index system, this paper constructs a simulation scenario of a wind/photovoltaic/storage power station connected to the regional power grid and calculates the corresponding indices. The fuzzy membership function is used to normalize the indicators. The subjective and objective combination weighting method is used to assign values to the indicators, and the reactive power support capability ratings of each power station are calculated. Finally, the reactive power support capability of the wind/photovoltaic/storage power plant was analyzed in combination with simulation scenarios, and the effectiveness of the comprehensive evaluation index system and method was verified.

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A Simplified Matching Algorithm of the Carbon Neutrality Path for the Industry Zones

A Simplified Matching Algorithm of the Carbon Neutrality Pat...

引用

IEEE Innovative smart grid Technologies - Asia (ISGT Asia)

作者： Jingqi Jin Nan Li Yening Lai Jie Huang Xuetong Chen State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China State Grid Qinghai Electric Power Company Economic and Technological Research Institute Xining China

ISBN: (纸本)9798350399677

After the carbon peaking and carbon neutrality goals were determined, industrial zones with high energy consumption began investigating their own carbon emission paths and formulating carbon emission reduction strategies. According to the zone's carbon emission projections, a reasonable estimate of the long-term carbon neutrality curve can be made, which has significant research implications for describing the carbon emission path and formulating carbon emission reduction measures. This paper uses the modified Kaya identity to build a model of the zone's carbon emissions. It proposes an algorithm for the zone's carbon-neutrality path matching the carbon peak path and determines the carbon emission peak year and carbon budget of the zone for achieving carbon peaking and carbon neutrality goals.

关键词： Industries Energy consumption Asia Carbon neutral smart grids

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Research on Dead-Time Compensation Method for Low Voltage Delta Connected Induction Motor 1

引用

17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Yong, Tao Liu, Jing Liu, Yechun Tang, Mengyang Qiao, Hui Miao, Yiru Key Laboratory of Smart Grid and Intelligent Control of Nanchong Southwest Petroleum University Nanchong637001 China State Grid Jiangsu Electric Power Co. LTD. Extra-High Voltage Branch Company Nanjing211002 China College of Electrical and Information Engineering in Hunan University Changsha410082 China The Sixth Design Institute of Machinery Industry Co. Ltd. Zhengzhou450007 China

ISBN: (数字)9789819904082

ISBN: (纸本)9789819904075

Low voltage as 48 V and large power induction motor will be largely used in hybrid and pure electric vehicle (EV) because of its very high safety. But the winding cables are so thick that assembly of neutral point is very inconvenient and delta connection has to be applied. However, some new problems such as loop current, harmonics, dead-time arise with delta connection. Aiming at the dead-time problem of this induction motor, the characteristics of dead time effect were analyzed in detail, and the two phases average voltage compensation method was derived. Analysis indicate that voltage error caused by snubber circuit under small current leads to the current to be clamped in the vicinity of zero, and presents a compensation method for this error. The earlier crossing zero compensation and a simple method to determine the direction of current are presented to solve zero current clamping effect and the complicate algorithms are avoided. The simulation and experiment results verify the validity and feasibility of these methods. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Induction motors

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Short-Term Power Forecasting for Wind Power Generation Under Extreme Weather Conditions

Short-Term Power Forecasting for Wind Power Generation Under...

引用

IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)

作者： Yuexin Song Yizhi Chen Chenghong Tang Wei Wang Hao Xiao Wei Pei Yanhong Yang Grid Technology Research Group Institute of Electrical Engineering Chinese Academy of Sciences Beijing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China Chinese Academy of Sciences Institute of Electrical Engineering Beijing China

Extreme weather poses a great challenge to the safe operation of wind power and new power systems dominated by wind power. Providing accurate wind power prediction will be an effective response. For this reason, this paper proposed a short-term power forecasting for wind power generation under extreme weather conditions. Firstly, the relationship between wind speed and wind turbine output power is analyzed and a wind power generation model is established. Then, the Long Short-Term Memory Neural Network (LSTM) is applied to construct a short-term power prediction model for wind turbines, and establishes three models for wind turbine decommissioning under extreme weather. Moreover, the climbing control strategy of wind turbine is also investigated to guarantee the system safety, stability and operation economy. Finally, the numerical analysis is carried out on the wind farm consists of 28 wind turbines, the results verify the effectiveness and superiority of the proposed method.

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