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检索条件"机构=Beijing Key Laboratory of Power Automation Technology Research and System Evaluation"

共 392 条记录，以下是11-20 订阅

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research and Design on Architecture for Big Data Platform in power Grid Dispatching and Control system 6

Research and Design on Architecture for Big Data Platform in...

引用

6th IEEE Information technology, Networking, Electronic and automation Control Conference, ITNEC 2023

作者： Feng, Qiong Di, Fangchun Ye, Ruili Xie, Lin Wang, Yan Tao, Lei Huang, Yunhao Li, Dapeng Feng, Chaohan Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665460033

With the increase of data sources, data types and service scope, the demand of building big data platform for power grid dispatching and control system is increasing. According to the characteristics of big data in power grid, this paper completes the architecture design of spatiotemporal big data platform, hierarchical architecture design of data warehouse for power grid regulation scenario and the execution flow of multi-source heterogeneous data in power grid. Meanwhile the design of platform data stream specification is completed, and the performance of different data storage design schemes is compared. © 2023 IEEE.

关键词： Big data

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A Service Chain Path Planning Method for the Dispatching and Control Cloud

A Service Chain Path Planning Method for the Dispatching and...

引用

作者： Sheng, Xinxin Li, Dapeng Tao, Lei Huang, Yunhao Xia, Wenyue Yang, Qingbo Ma, Xinxin Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

With the continuous expansion of the construction scale and business requirement of dispatching and control cloud, it is actually a service invoke a service chain with multiple services in service invocation. And two or more dispatching and control cloud sites may be involved at the same time in the service chain invocation. In view of the characteristics of dispatching and control cloud service chain invocation, a path planning technology for dispatching and control cloud service chain invocation is proposed in this paper. Each service load in the process of service chain invocation is taken into account, and the feasible service paths are comprehensively judged to realize the wide-area global planning of service invocation paths. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Motion planning

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Intelligent Search and Recommendation of power Grid Based on Data Lineage 7

Intelligent Search and Recommendation of Power Grid Based on...

引用

7th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2023

作者： Ning, Xin Li, Dapeng Wang, Jiaqi Feng, Qiong Xie, Lin Xia, Wenyue Ye, Ruili Yu, Ling Wang, Yan China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China

ISBN: (纸本)9798350334197

With the expansion of the power grid scale, the amount of power grid operation data is increasing rapidly. Faced with massive power grid data with complex relationships, how to judge the implicit relationship between data and quickly and accurately query the data required by users is an urgent problem to be solved. This paper proposes a set of intelligent search and personalized recommendation algorithms based on data lineage, uses power grid data to build knowledge graphs, manages data through data lineage analysis, and designs three modules: sentence intent classification, knowledge search matching, and result organization. Realize intelligent search of power grid data, and finally realize personalized recommendation for similar user groups by classifying users. According to the proposed method, this paper designs experiments to verify, and the results show that the proposed method is accurate and efficient, and can well meet the search needs of power grid users. © 2023 IEEE.

关键词： Electric power system control

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research on Complexity evaluation Method for Dispatch Automatic Generation Control Software Based on GRA 8

Research on Complexity Evaluation Method for Dispatch Automa...

引用

8th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2025

作者： Wei, Zechen Wang, Nanyang Zhang, Zexi Chen, Juntao Li, Yujia Qi, Xiaolin China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China

ISBN: (纸本)9798331517915

With the increasing complexity of dispatch automatic generation control (AGC) systems, evaluating the software complexity has become essential for optimizing performance and improving reliability. This paper investigates the complexity evaluation of AGC software by analyzing its operational and functional characteristics. A complexity evaluation model is constructed from the perspectives of code structure and software structure. The model introduces a structural complexity indicator based on functional network density and evaluates corresponding metrics using the grey relational analysis (GRA) comprehensive evaluation method. Case studies are conducted to verify the feasibility and applicability of the proposed method. The results demonstrate that this model and evaluation method can provide valuable support for improving software quality, optimizing software testing strategies, and guiding the development of more efficient AGC systems. © 2025 IEEE.

关键词： dispatch automatic generation control functional network density grey relational analysis software complexity evaluation

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Enhancing Online Load Model Parameter Identification with Deep Reinforcement Learning: A DDPG-Based Approach

Enhancing Online Load Model Parameter Identification with De...

引用

International Conference of Electrical, Electronic and Networked Energy systems, EENES 2024

作者： Li, Zihao Liu, Xingwei Huang, Yupeng Hu, Jianxiong Tang, Yi School of Electrical Engineering Southeast University Nanjing China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China China Electric Power Research Institute Beijing China

ISBN: (纸本)9789819620791

To cope with the complex dynamic characteristics brought about by the sharp increase in penetration of various power electronic devices, online dynamic security analysis in modern power systems has put forward higher requirements for the accuracy of simulation models. Traditional methods for load model parameter identification (PI) struggle with model complexity, computational pressure, and low generalization, which can hinder their effectiveness in online applications. To overcome these challenges, this paper proposes a novel online load model PI method utilizing the Deep Deterministic Policy Gradient (DDPG) algorithm. Initially, a composite load model incorporating various distributed energy resources (DERs) is developed as the model basis. Subsequently, a DDPG-based framework for online load model PI is designed, featuring meticulously crafted interface functions to improve both convergence and generalization capabilities. Case studies on the EPRI-36 buses test system demonstrate the proposed method's efficiency and accuracy compared to traditional heuristic optimization methods. © beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Deep reinforcement learning

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power Grid Fault Localtion Method Based on Graph Neural Network 3

Power Grid Fault Localtion Method Based on Graph Neural Netw...

引用

3rd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Liu, Xingwei Song, Xuri Yu, Yijun Zhang, Fengbin Fan, Shixiong Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665490788

With the improvement of the interconnection degree of the power grid and the massive grid-connected operation of new energy, the fault characteristics of power grid have changed. After the fault occurs, quickly locating the fault components will help improve the fault handling efficiency of the dispatchers. In this paper, a graph neural network used for fault component identification is designed. The fault label is classified and marked in multiple levels to facilitate the focus identification of fault components. The empirical constraints of dispatchers are integrated into the loss function to further improve the accuracy of fault identification. An IEEE30 example is used for simulation verification. The results show that the fault element identification method based on graph neural network proposed in this paper has the advantages of high accuracy and strong resistance to interference. © 2023 IEEE.

关键词： Graph neural networks

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Accelerated SCUC Solution: Integrating Cutting Planes, Interior Points, and Rounding Heuristics 5

Accelerated SCUC Solution: Integrating Cutting Planes, Inter...

引用

5th International Conference on power Engineering, ICPE 2024

作者： Cai, Zhi Hu, Xiaojing Chen, Yanguang Xu, Shengnan Automation Technology China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Beijing China Co. Ltd R&Development Department Beijing China

ISBN: (纸本)9798331531140

In this research contribution, we present a novel approach aimed at accelerating online mixed-integer optimization by leveraging heuristic ROUNDING techniques and interior point methods. The cornerstone of our method lies in the construction of a Cardinality cutting plane. This Cardinality cutting plane method effectively harnesses the solution of linear programming (LP) without incorporating the CROSSOVER procedure within the interior point method. It ingeniously forms a feasible area for the segmentation of cutting planes while meticulously configuring the relevant parameters to ensure their viability. Notably, our method seamlessly integrates into any Mixed-Integer Programming (MIP) solver. Our empirical findings decisively demonstrate the superior performance of the proposed algorithm compared to conventional direct solution methods, particularly in terms of its agility in rapidly exploring feasible regions. Additionally, our algorithm exhibits a remarkable acceleration in improving the lower bound. This enhancement significantly enhances the efficiency of solving optimization problems, offering a promising avenue for effectively addressing the complexities of energy system scheduling. © 2024 IEEE.

关键词： Mixed-integer linear programming

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A High Risk Operation Scenario Generation Method for High Renewable Energy Permeability Based on AND Operation 5

A High Risk Operation Scenario Generation Method for High Re...

引用

5th International Conference on power and Energy technology, ICPET 2023

作者： Yan, Lv Lue, Sun Yadi, Luo Li, Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Beijing China

ISBN: (纸本)9798350339673

With the increasing penetration rate of renewable energy, the uncertainty of power grid operation is enhanced and the potential operation risk of the power grid is also increasing. At the day-ahead stage, it is of great significance to analyze the possible high-risk operation scenarios of the power grid and make effective prevention and control strategies to ensure the power grid operation. In this paper, a high-risk scenario generation method based on AND operation is proposed, firstly, this paper uses GMM to fit the distribution of renewable energy prediction errors, then uses a combination of LHS sampling and random sampling to generate a large number of renewable energy scenarios, and uses k-medoids method to reduce the scenarios. And then generates high-risk operation scenarios with high penetration rate of renewable energy. Finally a simulation with 39 nodes system is carried out to verify the effectiveness of the proposed method in the paper. © 2023 IEEE.

关键词： AND operation Gaussian mixture model high penetration of renewables high-risk scenario k-medoids

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evaluation of Autonomous Controllability of Computer Equipment in Control system Based on FAHP 8

Evaluation of Autonomous Controllability of Computer Equipme...

引用

8th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2025

作者： Gong, Linglin Li, Wenzhuo Li, Yalei Liu, Xiaoping Zhang, Haiyan China Electric Power Research Institute Co. Ltd China Beijing Key Laboratory of Power Automation Technology Research and System Evaluation China

ISBN: (纸本)9798331517915

As the "brain"of power grid dispatching operation, the control system gradually requires higher levels of autonomy and controllability of the system and equipment. However, the localization level of computer equipment chips used in current system construction needs to be improved, and autonomous and controllable applications are subject to certain constraints. This article analyzes the necessity of autonomous and controllable evaluation of control system computer equipment, clarifies the scope and principles of evaluation, and constructs a complete set of indicators, methods, and processes for autonomous and controllable evaluation of computer equipment around multiple dimensions, comprehensively and accurately evaluating the autonomous and controllable capabilities of the entire equipment and its components. © 2025 IEEE.

关键词： Autonomous and controllable Computer equipment evaluation method regulatory system

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key Feature Mining Method for power-Cut Window Based on Grey Relational Analysis 5

Key Feature Mining Method for Power-Cut Window Based on Grey...

引用

5th IEEE Advanced Information Management, Communicates, Electronic and automation Control Conference, IMCEC 2022

作者： Zhang, Fengbin Liu, Xingwei Wei, Zechen Zhang, Jiali Yang, Nan Song, Xuri Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China

ISBN: (纸本)9781665479677

In the process of compiling the power-cut window period of the power grid equipment maintenance plan, problems such as omission of constraints are prone to occur due to excessive reliance on manual experience. In response to these problems, this paper proposes a method for mining key features of the power-cut window based on grey relational analysis. Through mining and analysis of the historical operation data of the power grid, the operation data of new energy, and the historical power-cut information of equipment, the indicators that play a key role in the arrangement of the outage window period of the equipment maintenance plan are found. Then use the key indicator information to formulate the window period. By mining the relationship between power grid operation data and equipment power outages, this paper can give full play to the big data advantages of the power grid, improve the accuracy and efficiency of the power-cut window period. © 2022 IEEE.

关键词： Data mining

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