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第33届中国控制与决策会议

作者： Zhi Cai Guofang Zhang Yi Lu Yuxuan Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute State Grid Sichuan Electric Power Supply Company

ISBN: (纸本)9781665431293

With the increase of the number of cascade hydropower plants and the increase of the discrete number of state variables in the time period to obtain more high-precision solutions,the calculation time increases exponentially,which makes it difficult to optimize through physical ***,a data-driven cascade hydropower plant scheduling method with self-learning abilities is ***,perform cluster pre-processing of the historical dispatching data of hydropower plants in the scheduling scope with K-means algorithm;secondly,establish a deep learning model of cascade hydropower plant schedules based on long short-term memory(LSTM),and build the mapping model among system load,water regimen and hydropower plant schedule through historical data training,to make a decision,finally,continuously correct the model by accumulating the historical data,so that it has the ability of self-evolution and *** make case analysis based on the actual power grid data,and the calculation results show the effectiveness of the proposed method.

关键词： Cascade hydropower Generation schedule Deep learning Long short-term memory K-means cluster

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Survey and Practice on Architecture and Deployment Method of Digital Twin system for Intelligent Substation

Survey and Practice on Architecture and Deployment Method of...

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International Symposium on Computer Science and Intelligent Controls (ISCSIC)

作者： Wenzhuo Li Bei Li Haining Gao Cong Peng Wei Zhang Yalei Li Xin Ji Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China School of Automation Nanjing University of Aeronautics and Astronautics Nanjing China

This article studies the architecture and deployment of a digital twin system for intelligent substations. Firstly, the development status of smart grid digital twins was investigated and summarized from typical architectures, key technologies, and application directions. Then, based on modern information technology, we proposed the architecture and deployment method of the intelligent substation digital twin system. The proposed system consists of a data collection layer, a model driven layer, and a twin application layer, which respectively elaborate on the specific content and advantages, and supplement the complete deployment method of the system. The intelligent substation digital twin system effectively promotes the digitization and intelligence of substations, providing a new construction and management mode, and has potential application prospects in promoting equipment status perception, deterioration trend analysis, and fault handling in the power industry.

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An Auxiliary Decision-Making Model through Comprehensive Utilization of Multi-type Active Power Adjustment Resources

An Auxiliary Decision-Making Model through Comprehensive Uti...

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International Conference on Power and Energy technology (ICPET)

作者： Zhengping Chen Fangdong Wang Xichen Tian Yan Lv Wenjian Wang Zhi Cai State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

As the construction of the new power system progresses, the marked increase in the penetration rate of renewable energy, the intensified coupling of multi-energy systems, the closer interconnection among regional power grids, and the accelerated advancement of electricity market reforms have significantly heightened the complexity and uncertainty of the system. These developments pose substantial challenges to the existing dispatching technologies. In this paper, an auxiliary decision-making model through comprehensive utilization of multi-type active power adjustment resources is proposed. Firstly, the paper presents the framework of the auxiliary decision-making model. Then, the paper proceeds meticulously to establish the auxiliary decision-making model, including variables, the objective and constrains. Finally the validity of the model is verified using actual grid data from a specific region.

关键词： Solid modeling Uncertainty Power supplies Decision making dispatching Regulation Power grids Security Synchronization Load modeling

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Intra-Day Rolling Optimal Strategy Considering Whole Dispatch Process and Multi-Type Adjustable Measures

Intra-Day Rolling Optimal Strategy Considering Whole Dispatc...

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IEEE International Conference on Power and Energy Applications (ICPEA)

作者： Wenzhong Li Duanhong Zhang Xichen Tian Yan Lv Zhengqi Xu Jingfeng Liang State Grid Fujian Electric Power Dispatching and Control Center State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798350356113

ISBN: (纸本)9798350356120

The current electric power system practices hierarchical and zonal administration to facilitate more effective monitoring of grid safety and event management. With an escalating integration of new energy sources on the generation side, the intrinsically variable nature of these resources introduces substantial uncertainties into grid operations. Meanwhile, on the demand side, load profiles are diversifying further, significantly influenced by weather conditions, market price signals, or incentive schemes, thereby adding another layer of unpredictability. Against this context, this paper proposes an intra-day rolling optimal strategy considering whole dispatch process and multi-type adjustable measures. By synthesizing regulating resources from both the source and load sides, it undertakes a series of intra-day rolling optimization decisions across the entire dispatch workflow. This strategy aims to harmonize and optimize the allocation of various resources, thereby ensuring the secure and stable functioning of the electrical grid amidst the complexities introduced by the integration of intermittent renewables and the dynamics of diversified loads.

关键词： Renewable energy sources Power measurement Uncertainty Power supplies Process control Robustness Safety Power system reliability Resource management Optimization

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research and Application of Cluster Monitoring and Management technology of The dispatching and Control Cloud Based on Hybrid Architecture

Research and Application of Cluster Monitoring and Managemen...

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IEEE Advanced Information Management,Communicates,Electronic and automation Control Conference (IMCEC)

作者： Shuzhou Wu Yunhao Huang Lei Tao Wenyue Xia Qingbo Yang Yan Wang Zhoujie Zhang Qiong Feng Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Haidian District Beijing China

ISBN: (纸本)9781665479691

With the continuous expansion of the scale of control cloud construction, the application of the platform has gradually increased, and the calling relationship between application containers has become increasingly complex. Ensuring the safety and stability of the control cloud platform has become a key factor in maintaining the normal operation of power dispatching. Therefore, it is urgent to carry out research on monitoring and management technology for lightweight container clusters to regulate cloud platforms. This paper designs the overall architecture of a lightweight container cluster monitoring and management platform with a hybrid structure from the host dimension, container dimension and application dimension. On the premise of ensuring data accuracy, it reduces the proportion of resources in the monitoring system and improves the scalability of monitoring indicators. At the same time, simulation experiments are carried out in terms of index collection performance and dynamic expansion of monitoring indicators. The verification results show that the monitoring scheme based on the hybrid architecture can flexibly and dynamically monitor the cloud platform in real time and ensure the safe and stable operation of the cloud platform.

关键词： Process monitoring Scalability Stability criteria Containers dispatching Real-time systems Safety

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A Dynamic Price Zone Partitioning Strategy for Cross-Regional Market Transaction 5

A Dynamic Price Zone Partitioning Strategy for Cross-Regiona...

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5th International Conference on Energy, Electrical and Power Engineering, CEEPE 2022

作者： Cui, Hui Yang, Xiaonan Cheng, Dong Wang, Jianxiao Li, Jing Zhu, Junfei China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China North China Electric Power University School of Electrical & Electronic Engineering Beijing China State Grid Hunan Electric Power Company Changsha China

ISBN: (纸本)9781665479059

The reform of China's electricity market continues to deepen, the proportion of cross-regional transactions continues to increase, and the cross-regional power market needs to be further improved. Northern Europe has a relatively mature regional electricity price mechanism, which has great guiding significance for the construction of China's cross-regional and cross-provincial power market. This paper analyzes the applicability of the Nordic transnational electricity market clearing and congestion management model in China. The cross-regional market clearing method based on Locational Marginal Prices (LMP) and the flow-based (FB) model for cross-regional transmission capacity calculation are used for dynamic price zone partitioning and management. After considering the influence of geographical location and locational marginal electricity price, a k-means clustering model is used for price zone partitioning, and all transaction between price zones can be solved by FB model. A case study based on an IEEE 30-node system demonstrates the effectiveness of the proposed dynamic price zone partitioning strategy, which can better reflect the price signal and realize the optimal allocation of resources. © 2022 IEEE.

关键词： Economics Analytical models Power engineering Power system dynamics Europe Electricity supply industry Dynamic scheduling

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research on Recognition technology of Amphibians Ship in Optical Remote Sensing Image 5

Research on Recognition Technology of Amphibians Ship in Opt...

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5th IEEE Information technology, Networking, Electronic and automation Control Conference, ITNEC 2021

作者： Li, Lai Ma, Xinxin Liu, Xiaohui Unit 91039 of the PLA Beijing China China Beijing Key Lab of Research and System Evaluation of Power Dispatching Automation Technology Beijing China

ISBN: (纸本)9781665415989

In modern naval warfare, ship target is an important combat force on the battlefield of naval warfare. Different types of ship target have differences in combat mode and combat positioning. In order to accurately grasp the enemy combat ship movement, accurately analyze the enemy combat intention and firepower coverage in the naval battle field, the accurate identification of the ship target becomes a key problem. This paper mainly studies the method of type identification of amphibious ships (amphibious dock landing ship, amphibious assault ship and amphibious dock transport ship). The size and shape related features of the ship target are obtained by feature extraction from the collected ship target samples. By means of support vector machine model, different feature combinations of ship targets are classified, and the results are compared and analyzed to determine the best feature combinations. © 2021 IEEE.

关键词： Feature extraction

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Data Anomaly Detection in Modern Transmission Grids Based on GRU-Attention-VAE

Data Anomaly Detection in Modern Transmission Grids Based on...

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Smart Grid and Green Energy (ICSGGE), International Conference on

作者： Zilin Yang Hongda Liu Haiwei Fan Bin Chen Qiong Feng Lin Xie Lei Tao Yantai Research Institute Harbin Engineering University Yantai China State Grid Fujian Electric Power Company Fuzhou China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (数字)9798331542139

ISBN: (纸本)9798331542146

With the increasing proportion of renewable energy in power grids and the growing frequency of climate changes, traditional power system state estimation methods tend to misidentify sudden load changes as anomalies, thereby affecting the quality and speed of decision-making in subsequent energy management tasks. Conducting research on anomaly detection techniques for the power dispatch cloud to adapt to the multi-source nature, long time-scale, and high timeliness requirements of dispatch cloud data holds significant application value. This paper proposes a deep learning-based anomaly detection algorithm for electrical data. The model integrates the weakly supervised learning of Variational Autoencoders (VAE), the temporal feature extraction of Gated Recurrent Units (GRU), and the cost-effective extraction of core rules/characteristics in complex systems enabled by the Attention mechanism. The effectiveness and accuracy of the algorithm are verified through case studies, and comparisons with baseline algorithms demonstrate its cost-effectiveness.

关键词： Training Attention mechanisms Accuracy Weak supervision Power system dynamics Feature extraction Transformers State estimation Anomaly detection Climate change Renewable energy sources Power grids

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research on blockchain cross chain interaction technology suitable for power dispatching system 5

Research on blockchain cross chain interaction technology su...

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

作者： Wan, Xiong Guo, Lei Cui, Can Di, Fangchun Tao, Lei Feng, Qiong Liu, Dong Li, Liang State Grid Corporation of China Beijing China North China Branch of State Grid Corporation of China Beijing China China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing China State Grid Jibei Electric Power Company Limited Beijing China

ISBN: (纸本)9781665479677

With the construction and development of the new power system, the demand for the source network load storage coordinated control business is increasing. There are many kinds of object subjects participating in the power grid operation and power and electricity platform, which brings new challenges to the power grid regulation business. Blockchain technology provides a new idea to solve the problem of power regulation business. This paper studies the block chain cross chain interaction technology in the power dispatching system, analyzes the main block chain cross chain technology and its characteristics, proposes the block chain cross chain technology scheme in the dispatching field, and implements the data cross chain interaction between homogeneous and heterogeneous block chains. © 2022 IEEE.

关键词： Blockchain

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Explore the dominant factor in prime editing via a view of DNA processing

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Synthetic and systems Biotechnology 2023年第3期8卷 371-377页

作者： Zhimeng Xu Dacheng Ma Houzhen Su Xiaodong Jia Yinqing Li Yinying Lu Zhen Xie MOE Key Laboratory of Bioinformatics and Bioinformatics Division Center for Synthetic and System BiologyDepartment of AutomationBeijing National Research Center for Information Science and TechnologyTsinghua UniversityBeijing100084China Research Center for Biological Computation Zhejiang LaboratoryHangzhou311100China Comprehensive Liver Cancer Centre The Fifth Medical Center of PLA General HospitalBeijingChina School of Pharmaceutical Sciences IDG/McGovern Institute for Brain ResearchTsinghua UniversityBeijingChina

Prime editing is a revolutionary gene-editing method that is capable of introducing insertions,deletions and base substitutions into the ***,the editing efficiency of Prime Editor(PE)is limited by the DNA repair ***,we show that overexpression of the flap structure-specific endonuclease 1(FEN1)and the DNA ligase 1(LIG1)increases the efficiency of prime editing,which is similar to the dominant negative mutL homolog 1(MLH1dn).In addition,MLH1 is still the dominant factor over FEN1 and LIG1 in prime *** results help to further understand the relationship of proteins involved in prime editing and envisage future directions for the development of PE.

关键词： process. prime directions

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