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power Science and technology (ICPST), IEEE International Conference on

作者： Zhang Yin Wang Miao Lv Yan Li Li Ren Junzhi Cao Haosen Research and System Evaluation of Power Dispatching Automation Technology & China Electric Power Research Institute Beijing China Research and System Evaluation of Power Dispatching Automation Technology & Tianjin University Tianjin China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Online economic dispatch is one of the important means to ensure the safe and stable operation of power grids in uncertain environments. At present, reinforcement learning has shown good results in the field of economic dispatch, but its practical application in power grids still needs to address the lack of interpretability in the learning process. To this end, a Lagrangian relaxation reinforcement algorithm for online economic scheduling is proposed. Firstly, transform the mathematical model of online economic scheduling into a Markov decision process model suitable for deep reinforcement learning. Then, taking the deep deterministic policy gradient algorithm as an example, the fusion of constraint conditions and policy neural networks is achieved based on the Lagrange relaxation principle, and the constrained Markov decision process model is transformed into an unconstrained Markov decision process model. Finally, the effectiveness of the proposed algorithm was verified through actual power grid examples, which can ensure that the decision results strictly meet the constraints of power grid regulation while improving the training efficiency of the intelligent agent.

关键词： Economics Training Markov decision processes Neural networks Transforms power grids Mathematical models

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Version Control Method of power Dispatching Automatic Control Software based on Ladder Aggregation Encryption

Version Control Method of Power Dispatching Automatic Contro...

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IEEE Information technology, Networking, Electronic and automation Control Conference

作者： Zechen Wei Lixin Li Yijun Yu Xiaolin Qi Xuri Song Yujia Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

As the brain of power grid control, power dispatching automatic control software undertakes the dual tasks of optimizing power quality and improving grid security. The stable operation of software plays an important role in power system operation. However, due to the lack of safety awareness of R&D personnel, they frequently modify software code and change software configuration, and the problem of version confusion is prominent due to the random change of software on the project site. Aiming at the characteristics of dispatching automatic control software, such as complex code, different deployment environments, and the need for on-site compilation, this paper designs a version control framework of dispatching automatic control software, proposes a ladder aggregation encryption method and a multidimensional verification method, gives consideration to the difficulty and efficiency of software version encryption, solves the problem that consistency verification cannot be performed under different compilation environments, and effectively improves the reliability of automatic scheduling control software, It provides effective support for the safe and stable operation of software.

关键词： Codes Reliability engineering Software Dispatching Encryption Software reliability power system reliability

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

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

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International Conference on power and Energy technology (ICPET)

作者： Lv Yan Sun Lue Luo Yadi Li Li Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology (China Electric Power Research Institute) Beijing China

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.

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Intelligent Search and Recommendation of power Grid Based on Data Lineage

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

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IEEE Information technology and Mechatronics Engineering Conference (ITOEC)

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

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.

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

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

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IEEE Information technology, Networking, Electronic and automation Control Conference

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

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.

关键词： Cloud computing Architecture Soft sensors Computer architecture Standardization Big Data Control systems

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Security Constrained Dimensionality Reduction Strategy for Unit Commitment

Security Constrained Dimensionality Reduction Strategy for U...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Zhi Cai Qiang Li Qiang Ding Xiaojing Hu Shengnan Xu Muchen Yuan Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

With multiple and complicated security constraints of unit commitment problem in large grids, and the difficulty of considering the uncertainty of renewable energy output, this article proposes a fast solving method for long-term unit commitment based on the construction of an effective power flow constraint set using the 0–1 relaxation method. Firstly, obtain the rough unit commitment scheduling result by using 0–1 relaxation method to quickly identify the feasible region of unit commitment. Then, identify the line that will exceed the limit under such result and include it into the effective power flow constraint set. Secondly, identify the line that may exceed the limit by considering the change in allocation between units, load and wind power prediction errors, and include it into the effective power flow constraint set. Finally, solve the mixed integer programming problem of unit commitment, considering effective power flow constraints.

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The Theory and Method of power Grid Data Asset Modeling Based on Dispatching Cloud 5

The Theory and Method of Power Grid Data Asset Modeling Base...

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

作者： Feng, Chaohan Cui, Can Di, Fangchun Tao, Lei Song, Zhibin Qi, Huiwen Zhang, Xiangyu Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology Beijing100192 China State Grid Shanxi Electric Power Company Economic and Technological Research Institute Shanxi Taiyuan030602 China

ISBN: (纸本)9781665479677

power dispatching is an important link in the direct production, transmission and distribution of electric energy, and is one of the core components of the power system. It has the characteristics of many types of equipment, complex data structure attributes, and high data acquisition density. At present, the operation data of power grid dispatching and control has been gradually collected in the cloud, and the data assets have begun to take shape. However, the management and operation mode of these data is rough, and they are still used and managed by various business departments. As an intangible asset, the value of data has not been paid enough attention and deeply excavated. From inside and outside the industry, the concept of data as an asset has become a consensus, but in the field of power, the management and application of data assets is still in the exploratory stage. At the same time, in the construction of data capitalization, many methods of other industries are difficult to be directly applied in the field of dispatching and control, so it is urgent to integrate the characteristics of power grid dispatching and control business needs and propose a data capitalization mode with business characteristics. This paper gradually focuses on the scope of power data assets from the broad sense of data assets, and regulates the big data capitalization management. The planning method of dispatching data assets analyzes and summarizes the construction of dispatching data assets, and provides data asset management support for subsequent big data applications and data mining. © 2022 IEEE.

关键词： Big data

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Improvement Measures to Adapt to Cross-Subsidies across Various Consumer Categories in China's Electricity Spot Market

Improvement Measures to Adapt to Cross-Subsidies across Vari...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

Given the historical development of China's electricity market, this article proposes several improvement measures to adapt to cross-subsidies across various consumer categories in China's electricity spot market. The proposed improvements cover three key areas: Calculating theoretical transmission and distribution tariffs by voltage class and consumer category based on the electricity consumption profiles of various consumers; building a model for calculating cross subsidies in electricity tariffs by voltage class and consumer category, utilizing a price differential methodology; building a model for balancing transferred cross-subsidies given the macro landscape of China's spot market. Case studies are conducted on the balance model to verify its accuracy and effectiveness of proposed measures.

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Detecting and Exploiting Unit Commitment Structures in MIPs 6

Detecting and Exploiting Unit Commitment Structures in MIPs

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6th International Conference on power and Energy technology, ICPET 2024

作者： Su, Zhao-Gang Chen, Sheng-Jie Li, Yu-Fei Chen, Liang Kou, Caixia Cai, Zhi Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China Institute of Applied Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing China College of Sciences Beijing University of Posts and Telecommunications Beijing China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

ISBN: (纸本)9798350375855

The unit commitment (UC) problem has been extensively researched in the literature, which is typically formulated as a mixed integer programming (MIP) problem. However, current studies lack effective methods to identify potential UC problem structures within a general MIP problem, making it challenging to leverage well-established valid inequalities for UC problems to accelerate the solution process. In this paper, we present a novel detection method that automatically identifies UC structures within an MIP problem by analyzing the relationships between variables and constraints. Moreover, we enhance the MIP formulation by incorporating three well-studied classes of valid inequalities as cutting planes, based on the identified UC structures. Our experiments demonstrate that our proposed UC detection method greatly improves computational efficacy of a standard MIP solver compared to the default setting. © 2024 IEEE.

关键词： Mixed-integer linear programming

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Resilient Cooperative Control of Multiple DC Microgrids With Interconnection Networks Against Cyber Attacks

IEEE Transactions on Industrial Cyber-Physical Systems

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IEEE Transactions on Industrial Cyber-Physical systems 2025年 3卷 116-126页

作者： Xiao, Feng Liu, Shiyu Wei, Bo Fang, Fang Qin, Jiahu North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China North China Electric Power University School of Control and Computer Engineering Beijing102206 China North China Electric Power University New Energy Generation National Engineering Research Center Beijing102206 China University of Science and Technology of China Department of Automation Hefei230027 China

The two control objectives of voltage regulation and precise current sharing are conflicting in multi-bus DC microgrids. In this paper, a distributed control strategy is proposed, and it can achieve accurate current sharing and regulate the voltage of a critical node to the rated value. However, such a distributed control system is susceptible to potential cyber attacks that could deteriorate microgrids performances by corrupting communication links or actuators. To overcome these difficulties, we design the interconnected communication networks to establish a resilient cooperative system of multiple microgrids against unknown bounded injection attacks. The proposed resilient control strategy can achieve the control objectives of maintaining voltage regulation and current sharing within each microgrids under different operating conditions, and the interconnected system consisting of multiple microgrids cooperates to mitigate the adverse effect of cyber attacks. The dynamics and stability of the overall close-loop system of the DC microgrids are analyzed, in the present or absent of cyber attacks. Simulation results validate the effectiveness of the proposed approach in two 4-bus DC microgrids. © 2023 IEEE.

关键词： Cyber attacks

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