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检索条件"机构=Key Laboratory of Intelligent Dispatching and Control of Power Grid"

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Neural Network Technology Applied in Fault Detection and Simulation of power Systems 8

Neural Network Technology Applied in Fault Detection and Sim...

引用

8th International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Hong, Zeqi Huang, Libin Hu, Yufeng Guo, Haiping Lu, Yuanhong Hu, Binjiang Zhang, Jingyue Luo, Hui Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China National Energy Power Grid Technology R and D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Guangzhou China

ISBN: (纸本)9798331506230

With the escalating demand for power inspection and equipment maintenance, developing effective algorithms for power system fault detection is crucial for ensuring the safety and stability of power systems. This paper leveragesthe Trellis network, enhanced with an attention module, to significantly improve the Trellis network's capability in recognizing power fault images, thus better addressing fault identification tasks within power systems. Through testing on a self-constructed dataset and comparative experiments with models such as DCNN, RCNN, and DenseNet, the proposed attention mechanismenhanced Trellis network algorithm has demonstrated its effectiveness and superiority in fault detection. © 2024 IEEE.

关键词： power distribution faults

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Methodology for Regional Carbon Emission Projections and Scenario Analysis Based on the STIRPAT Model 25

Methodology for Regional Carbon Emission Projections and Sce...

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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Xu, Xihao Kong, Xiangyu Wang, Yang Liu, Jiancun Wang, Yubo Yu, Fanfan Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350366600

Analyzing the factors that influence carbon emission reduction and predicting the peak year of carbon emissions will help the region clarify the direction of emission reduction efforts and take the lead in achieving carbon peak and carbon neutrality. This paper proposes a regional dual-carbon target and path planning method. Firstly, an indicator system is established to explore the relationship between regional carbon emissions and factors such as the economy, population, and energy efficiency consumption. Indicators with higher correlation are selected through gray correlation analysis. Then, the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model is constructed to predict carbon emissions in the region. Lastly, a scenario design is conducted for the dual-carbon target, predicting carbon emissions under different scenarios while considering carbon sinks. The results are analyzed to finalize the regional dual-carbon target and path. © 2024 IEEE.

关键词： Carbon capture and utilization

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Optimization Method for Flexible Dispatch of Source, grid, Load and Storage Considering Different Photovoltaic Penetration Rates 25

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

引用

25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

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

ISBN: (纸本)9798350366600

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. © 2024 IEEE.

关键词： grid interaction between source load and storage new energy grid connection optimal power grid dispatching

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A High-Dimensional Spatio-Temporal Feature Extraction Method of Distributed PV and Load

A High-Dimensional Spatio-Temporal Feature Extraction Method...

引用

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

作者： Tao, Lidanlan Yang, Ming Shan, Shuaijie Wang, Xian Wang, Yao Zhang, Huiwen Sun, Donglei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China Econ & Technol Res Inst Power Grid Planning Research Department Jinan China

ISBN: (纸本)9798350352290

Distributed PV and load are closely related, in order to better achieve the balance and stable operation of the grid, in the daytime peak electricity consumption hours, the power generation of PV sites can provide additional power supply, thereby reducing the load pressure of the grid. However, there is a lack of effective methods to evaluate the relationship between regional PV and load. In order to achieve source-load feature matching, this paper presents a method of source-load feature matching. Initially, this paper identifies the wave characteristics of the curve through Fourier decomposition and constructs a spatio-temporal feature matrix, incorporating various additional features. Subsequently, it employs the combination of K-medoids clustering and the elbow method to categorize photovoltaic sites based on their distinctive traits, resulting in output curves that encapsulate a wide range of characteristics. Concludingly, the paper leverages derivative dynamic time warping (DDTW) for feature matching, determining the similarity between distributed photovoltaic output curves and load power curves by identifying the shortest path. The effectiveness of this feature matching approach is validated using actual data from photovoltaic sites and load, based on the aforementioned algorithmic model. © 2024 IEEE.

关键词： Fourier analysis

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Evaluation study of peak shaving potential of battery swapping stations factoring in service capacity and resource tunability

Evaluation study of peak shaving potential of battery swappi...

引用

2024 International Conference on Smart grid and Artificial Intelligence, SGAI 2024

作者： Han, Shuai Wu, Ning Ruan, Shiya Zhang, Longfei Sun, Leping Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning530000 China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning530000 China

Electric power demand response is an indispensable way to alleviate the pressure on the power system's supply service and optimize energy utilization. Battery swapping stations (BSSs) feature flexible energy storage resources and a certain degree of autonomy in their charging behaviors, conferring them with certain advantages in participating in the process of power grid regulation. If considering the participation of BSSs in an organized regulation as a means of grid adjustment to formulate a reasonable regulatory strategy, it is imperative to evaluate the potential for different BSSs to participate in grid regulation. Accordingly, commencing by collecting operational data related to these stations, this paper analyzes the key influencing factors for BSSs to participate in demand response for grid peak shaving from dimensions such as their service capacities, swapping demands, and tunable charging loads. This involves constructing a comprehensive evaluation system for the multi-dimensional peak-shaving potential of BSSs and developing corresponding algorithmic models. The aim is to identify and determine the tunability characteristics of BSS resources in peak shaving scenarios within the grid, thereby providing support for the precise formulation of demand response strategies. © Published under licence by IOP Publishing Ltd.

关键词： Energy utilization

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Analysis of the Resource Potential of Electric Vehicles Participating in Vehicle-to-grid Interaction 6

Analysis of the Resource Potential of Electric Vehicles Part...

引用

6th International Conference on Energy Systems and Electrical power, ICESEP 2024

作者： Chen, Weidong Wu, Ning Lu, Jianbin Han, Shuai Wu, Xiaorui Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning530000 China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning530000 China

ISBN: (纸本)9798350353563

The growing demand for charging significantly impacts the operation and dispatch of power systems with the continuous increase in the number of electric vehicles (EVs) and charging infrastructure. The importance of EVs participating in demand response is becoming increasingly apparent. Compared to other demand-side flexibility resources, EVs can provide more flexible and cost-effective demand response capabilities. Guiding and managing EV participation in ancillary services of the power system aids in ensuring grid security and promoting the integration of new energy sources. This paper calculates the significant potential of EVs participating in grid frequency regulation, expecting to become an essential supplement to power system dispatch and promote the broader application of clean energy. © 2024 IEEE.

关键词： Distributed Energy Storage Electric Vehicles power System Ancillary Services Vehicle-network interaction

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Comprehensive Performance Assessment of Energy Storage Plants Based on Integrated Fuzzy Evaluation Method for grid Peaking 6

Comprehensive Performance Assessment of Energy Storage Plant...

引用

6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Cai, Xinlei Ni, Binye Wang, Naixiao Xiang, Xiaoping Yu, Yang Power Dispatching Control Center of Guangdong Power Grid Co. Ltd Guangzhou China North China Electric Power University State Key Laboratory of New Energy Power System Baoding China

ISBN: (纸本)9798350348279

Energy storage power plant has good static characteristics, can weaken the peak-to-valley difference through low storage and high generation, effectively relieving the peak regulation pressure of the power grid, and has important application value in the new power system. The performance of energy storage power plant in power grid peaking is judged reasonably, so that it has high economic efficiency, clean environmental protection value and safer power grid operation. First, a comprehensive evaluation index system of energy storage is constructed by proposing indicators covering technical, economic, clean and safety aspects for peaking scenarios. Then, the fuzzy integrated evaluation method was used to calculate the above indicators, and the improved coefficient of variation method was used to assign weights to each evaluation indicator during the calculation. Then, the fuzzy comprehensive evaluation method was used to calculate the comprehensive assessment of the energy storage power plants under the peaking scenario, and the assessment level and the assessment score of the energy storage power plants were obtained. Finally, a regional power grid is used as the object for simulation, and the evaluation grade and evaluation score of each performance of the energy storage power plant under peak regulation are obtained to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Fuzzy set theory

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Design and Implementation of a Cross-Platform Real-Time power System Simulation Software for the New power system 4

Design and Implementation of a Cross-Platform Real-Time Powe...

引用

4th International Conference on intelligent power and Systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhang, Jingyue Zhan, Jie Zhao, Yanjun Hu, Yufeng China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid 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 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 National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangzhou CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou510663 China

ISBN: (纸本)9798331532765

With the rapid increase in renewable energy installation nodes and the substantial enhancement of switching frequencies in the new power system, this paper proposes a design scheme for a cloud simulation software that employs the Latency Insertion Method (LIM) to decompose large-scale new power system models into several subsystems, enabling multi-platform integrated parallel computing. The self-developed platform meets the demands of ultra-large simulation scales, ultra-small simulation time steps, and massive simulation computations in power systems. Experimental results demonstrate that the accelerated simulation technology, which integrates model segmentation using LIM with multi-core parallel execution, can enhance the simulation speed by up to 858 times while maintaining simulation accuracy. This significantly improves simulation efficiency and is suitable for large-scale simulations of new power systems. © 2024 IEEE.

关键词： power systems computer aided design

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Stochastic Optimal Scheduling Study of Virtual power Plant Based on Multiple Distributed Resources

Stochastic Optimal Scheduling Study of Virtual Power Plant B...

引用

2024 International Conference on Electronics and Devices, Computational Science, ICEDCS 2024

作者： Lu, Jianbin Meng, Wenchuan Han, Shuai Wu, Ning Yang, Zaimin Sun, Siyang Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning China Energy Development Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798331527624

In the realm of distributed energy operation research, the virtual power plant emerges as a potent strategy to account for system uncertainties and enhance profits for all stakeholders. This paper considers uncertainties related to cybersecurity constraints, electrical and thermal loads, wind speed variations, and market tariff fluctuations. Subsequently, the optimal scheduling challenge for a virtual power plant incorporating multiple distributed resources is formulated utilizing the Generalized Algebraic Modeling System (GAMS) within the IEEE 33 Bus Distributed Test System, and is resolved through the CLPEX solver. Simulation outcomes reveal that the integration of a photovoltaic solar thermal system bolsters the expected profitability of the system and diminishes the virtual power plant's reliance on boilers and cogeneration units. © 2024 IEEE.

关键词： Optimal scheduling Photovoltaic solar thermal system Virtual power plant

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An Integrated Energy Optimized Scheduling Strategy for VPPs Considering Electric Heating Conversion 2

An Integrated Energy Optimized Scheduling Strategy for VPPs ...

引用

2nd IEEE International Conference on Image Processing and Computer Applications, ICIPCA 2024

作者： Wu, Ning Sun, Siyang Lu, Jianbin Han, Shuai Meng, Wenchuan Yang, Zaimin Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China Energy Development Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350360240

This paper proposes an integrated energy optimized scheduling strategy for virtual power plants (VPPs) considering electric heating conversion to meet the needs of VPPs participating in multiple types of electricity market transactions. This strategy takes the regulation characteristics of energy conversion equipment, distributed energy, energy storage equipment, and user demand response as relevant constraints, with the objective function of minimizing the comprehensive operating cost of VPP, including operation, energy purchase, and demand response. The simulation results show that the proposed model can improve economic efficiency through load response strategy, and is a feasible method to solve the internal integrated energy optimization scheduling problem of virtual power plants. © 2024 IEEE.

关键词： Demand response

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