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Hierarchical Task Planning for power Line Flow Regulation

CSEE Journal of power and Energy Systems 2024年第1期10卷 29-40页

作者： Chenxi Wang Youtian Du Yanhao Huang Yuanlin Chang Zihao Guo the Ministry of Education Key Lab for Intelligent Networks and Network Security Xi'an Jiaotong UniversityXi'an 713599China the State Key Laboratory of Power Grid Safety and Energy Conservation China Electric Power Research InstituteBeijing 100192China

The complexity and uncertainty in power systems cause great challenges to controlling power *** a popular data-driven technique,deep reinforcement learning(DRL)attracts attention in the control of power ***,DRL has some inherent drawbacks in terms of data efficiency and *** paper presents a novel hierarchical task planning(HTP)approach,bridging planning and DRL,to the task of power line flow ***,we introduce a threelevel task hierarchy to model the task and model the sequence of task units on each level as a task planning-Markov decision processes(TP-MDPs).Second,we model the task as a sequential decision-making problem and introduce a higher planner and a lower planner in HTP to handle different levels of task *** addition,we introduce a two-layer knowledge graph that can update dynamically during the planning procedure to assist *** results conducted on the IEEE 118-bus and IEEE 300-bus systems demonstrate our HTP approach outperforms proximal policy optimization,a state-of-the-art deep reinforcement learning(DRL)approach,improving efficiency by 26.16%and 6.86%on both systems.

关键词： Knowledge graph power line flow regulation reinforcement learning task planning

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A Study on Short-Term Visibility Prediction Model in Jiangsu Province Based on Random Forest 9

A Study on Short-Term Visibility Prediction Model in Jiangsu...

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9th International Conference on Cloud Computing and Big Data Analytics, ICCCBDA 2024

作者： Niu, Wei Gong, Bo Mao, Xianyin Zhang, Hourong Wang, Huan He, Jinqiang Yang, Qi Zhang, Haipeng Electric Power Research Institute of Guizhou Power Grid Co.Ltd Guiyang China Key Laboratory of Ice Prevention and Disater Reducing of China Southern Power Grid Co.Ltd Guiyang China Electric Power Research Institute of China Southern Power Grid Co.Ltd Guangzhou China Key Laboratory of Ice Electric Power Research Institute of China Southern Power Grid Co.Ltd Guiyang China

ISBN: (纸本)9798350373554

Low visibility weather significantly impacts human life and property safety, making accurate visibility prediction of vital social significance. This study utilizes meteorological station observational data and environmental monitoring station data from 2017 to 2018. The mrmr algorithm is employed to select meteorological and environmental factors influencing visibility. Three methods, namely Random Forest, XGBoost, and LightGBM, are utilized to predict short-term visibility in Jiangsu. Results indicate that humidity and PM2.5 concentration are the most significant factors affecting visibility, and these factors vary across different stations. Among the three methods, Random Forest yields the best performance in predicting visibility in Jiangsu. Therefore, we choose the Random Forest method and establish distinct visibility prediction models for different stations, reducing input model parameters and enhancing the accuracy of visibility forecasts. © 2024 IEEE.

关键词： Visibility

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Research on Bidirectional Dynamic Wireless Charging System Based on Active Disturbance Rejection Control Strategy 6

Research on Bidirectional Dynamic Wireless Charging System B...

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6th IEEE International Conference on Civil Aviation Safety and Information Technology, ICCASIT 2024

作者： Wu, Xiaorui Xiao, Jing Mo, Yuhong Liu, Quan Wu, Ning Xiao, Jiang Electric Power Research Institute of Guangxi Power Grid Co Ltd Southern Power Grid Corporation Wireless Power Transmission Joint Laboratory Nanning China Chongqing University College of Automation Chongqing China

ISBN: (纸本)9798350389418

Bidirectional Wireless power Transfer (BWPT) technology, which possesses the capability for bi-directional energy transmission, significantly broadens the application scope of Wireless power Transfer (WPT) systems, particularly in sectors such as Vehicle-to-grid (V2G) and Vehicle-to-Vehicle (V2V) interactions. In BWPT systems, the relative positions of the primary and secondary sides are not fixed during dynamic wireless charging, leading to substantial fluctuations in mutual inductance coupling coefficients and circuit equivalent parameters. Consequently, ensuring stable and efficient energy transmission across a broad range of operational conditions emerges as a critical challenge that necessitates urgent resolution. To address this issue, this study exemplifies an LCCLCC magnetic coupling resonant BWPT system and proposes an Active Disturbance Rejection Control (ADRC) methodology predicated on active and reactive power considerations. A simulation model of the BWPT system based on ADRC has been constructed, and a comparative analysis of the control performance between the ADRC controller and a PID controller has been conducted under varied parameter conditions. The results indicate that the ADRC controller demonstrates superior dynamic regulation capabilities. © 2024 IEEE.

关键词： Inductive power transmission

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Security Region: An Intelligent Approach to Transportation Networks

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CSEE Journal of power and Energy Systems 2023年第4期9卷 1532-1539页

作者： Jun Xiao Menghao Long Guoqiang Zu Qisi Lin Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China State Grid Tianjin Chengdong Electric Power Supply Company Tianjin 300250Chin State Grid Tianjin Electric Power Research Institute Tianjin 300384China.

This paper proposes a security region of transporta-tion networks,which is defined as the set of flow states(operating points)satisfying the N-1 security in transportation *** boundary of the set is closed,inside all the operating points are N-1 secure;oppositely,outside all the operating points are ***,N-1 security of the transportation networks is defined,which means that when a road is blocked,vehicles on other roads within the networks can also reach their destination through different paths without being trapped on the ***,the security region of transportation networks is *** algorithm of a boundary calculation is studied and the boundary equations of security distances are ***,the proposed security of the transportation networks is presented in different *** paper demonstrates the following:1)the security region can be accurately predicted by the simulation of N-1;2)the boundary distance can show the necessary degree of security;3)security can be improved by a preventive control *** simulation on TransCAD is used to verify the correctness of the *** Terms-Boundary distance,evolution,security region,transportation network,TransCAD.

关键词： Boundary distance evolution security region transportation network TransCAD.

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Auction-Based Information Freshness in 5G power Communications Relay Networks 5

Auction-Based Information Freshness in 5G Power Communicatio...

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5th International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024

作者： Mai, Lifeng Suo, Siliang Lu, Guosheng Chen, Liming You, Zilin Li, Jianxue Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Power System Network Security Guangzhou China China Southern Power Grid EHV Transmission Company Guangzhou China

ISBN: (纸本)9798350368284

With the development of novel power systems, emerging scenarios such as real-Time power trading, and real-Time control of virtual power plants demand higher standards for the timeliness of power information. We consider a two-way relay network that consists of two users and one relay. Two users are the information sources and destinations of each other, which is cooperative communication. Two users can not connect directly, users finish the transmission through the relay. We propose the auction-based information freshness in two-way relay network. The relay is the auctioneer and users are bidders. We build up Cooperative Game to solve information freshness and prove that there is a unique Nash Equilibrium in relay network. Simulation results validate our theoretical analysis and the impact of information freshness in the system. © 2024 IEEE.

关键词： Relay control systems

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Technical Research on Simulation and Predictive Analysis of Wind Farms in power Systems 4

Technical Research on Simulation and Predictive Analysis of ...

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4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

作者： Guo, Tianyu Huang, Libin Zhao, Yanjun Guo, Haiping Lu, Yuanhong Zhang, Jie Luo, Hui Hu, Binjiang National Energy Power Grid Technology R&d Centre Guangzhou China Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China Electric Power Research Institute China Southern Power Grid Csg Key Laboratory for Power System Simulation Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (纸本)9798331518066

To address the issue of insufficient accuracy in wind power output forecasting, this paper proposes a Support Vector Machine (VSM) model based on similar day matching and kernel entropy component analysis for wind power prediction. The model effectively extracts similar day features through the similar day approach and optimizes feature representation by combining it with kernel entropy component analysis (KECA), ultimately employing the SVM model for wind farm power forecasting. Simulation results demonstrate that using this model for optimizing wind power generation predictions enhances the accuracy of wind power forecasts, surpassing the precision of single-method predictions. The Similar Day-KECA-SVM method leverages historical data from similar days and features extracted through KECA, with SVM performing the final prediction. This approach adeptly handles complex patterns and nonlinear relationships in wind power forecasting, thereby achieving superior predictive performance. © 2024 IEEE.

关键词： Wind forecasting

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Performance Analysis of Corroded Grounding Devices with an Accurate Corrosion Model

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CSEE Journal of power and Energy Systems 2023年第3期9卷 1235-1247页

作者： Yihua Dan Zhanlong Zhang Pengfei Gan Huarui Ye Qiaoyi Li Jun Deng State Key Laboratory of Power Transmission Equipment&System Security and New Technology Chongqing UniversityChongqing 400030China Test Centre of EHV Transmission Company China Southern Power GridGuangzhou 510663China

Grounding devices are significant to the operation of the power transmission line and power *** soil and leakage current can easily cause the corrosion of carbon steel grounding devices,resulting in power ***,most carbon steel grounding devices in service are already corroded,and the accurate calculation of grounding parameters for corroded grounding devices is ***,most existing methods for calculating the grounding parameters of corroded grounding devices usually have the following disadvantages:1)They only consider whether the grounding devices are broken or not,and cannot analyze the grounding parameters of grounding devices with different corrosion degrees;2)They assume that the corroded grounding device is a conductor with a smaller diameter,and ignore the impact of the corrosion product layer,resulting in calculation *** solve the above problems,this paper establishes an accurate corrosion model for grounding devices based on the volume expansion coefficient of corrosion *** grounding parameters calculation method for corroded grounding devices is proposed based on the boundary element method(BEM)and Galerkin’s *** the grounding performance of tower grounding grids with different corrosion degrees in different soils(uniform and layered)is ***,some features of grounding parameters of corroded grounding devices are *** study can accurately calculate the grounding parameters of the corroded grounding devices and has far-reaching engineering significance for the safety of power equipment.

关键词： Corroded grounding devices corrosion product layer grounding parameters volume expansion coefficient

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Design and Implementation of power System Simulation Platform Based on Cloud Computing 4

Design and Implementation of Power System Simulation Platfor...

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4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

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

ISBN: (纸本)9798331518066

power system simulation involves simulating the operating states and dynamic processes of power systems using mathematical models and computer technology to analyze and predict system behavior. Traditional simulation methods struggle to meet the needs of large-scale, complex power grids due to significant demands for computational resources. Cloud computing, with its high scalability, resource pooling, and on-demand services, is ideally suited for the extensive simulation calculations required by modern power systems. Despite its advantages, the application of cloud computing in power system simulation poses challenges related to data security and privacy, particularly in collaborative simulations involving multiple power entities. This paper presents the design and implementation of a cloud computing-based power system simulation platform. The proposed platform leverages the distributed computing capabilities of cloud computing, integrates federated learning to ensure data privacy, and utilizes advanced power system simulation technologies. This approach significantly enhances simulation efficiency and accuracy while providing data security and privacy protection. The platform offers reliable decision support for power system planning, operation, and control. © 2024 IEEE.

关键词： Cloud platforms

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Application of deep reinforcement learning in power system scheduling strategy simulation 4

Application of deep reinforcement learning in power system s...

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4th International Conference on Energy, power and Electrical Engineering, EPEE 2024

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

ISBN: (纸本)9798331518066

With the increasing scale and complexity of power system, the current scheduling strategy methods often have the problems of limited adaptability and unsatisfactory results. Therefore, a power system scheduling method using DQN (Deep Q Network) is introduced in this study. This method uses neural network model to learn and optimize scheduling strategy, and has strong adaptability and enhanced global optimization ability. Comparative evaluations with genetic algorithms and particle swarm algorithms on IEEE-118 and SG-126 datasets show that the proposed method has significant advantages in terms of cumulative reward and stable runtime. © 2024 IEEE.

关键词： Deep reinforcement learning

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Robust State Estimation of Active Distribution Networks with Multi-source Measurements

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Journal of Modern power Systems and Clean Energy 2023年第5期11卷 1540-1552页

作者： Zhelin Liu Peng Li Chengshan Wang Hao Yu Haoran Ji Wei Xi Jianzhong Wu Key Laboratory of Smart Grid of Ministry of Education Tianjin UniversityTianjin 300072China Digital Grid Research Institute of China Southern Power Grid Guangzhou 510670China Institute of Energy School of EngineeringCardiff UniversityCardiff CF243AAUK

The volatile and intermittent nature of distributed generators(DGs) in active distribution networks(ADNs) increases the uncertainty of operating states. The introduction of distribution phasor measurement units(D-PMUs) enhances the monitoring level. The trade-offs of computational performance and robustness of state estimation in monitoring the network states are of great significance for ADNs with D-PMUs and DGs. This paper proposes a second-order cone programming(SOCP) based robust state estimation(RSE) method considering multi-source measurements. Firstly, a linearized state estimation model related to the SOCP state variables is formulated. The phase angle measurements of D-PMUs are converted to equivalent power measurements. Then, a revised SOCP-based RSE method with the weighted least absolute value estimator is proposed to enhance the convergence and bad data identification. Multi-time slots of D-PMU measurements are utilized to improve the estimation accuracy of RSE. Finally, the effectiveness of the proposed method is illustrated in the modified IEEE 33-node and IEEE 123-node systems.

关键词： Active distribution network(ADN) robust state estimation(RSE) second-order cone programming(SOCP) multi-source measurement bad data identification

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