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IoT Empowered Early Warning of transmission Line Galloping Based on Integrated Optical Fiber Sensing and Weather Forecast Time Series Data

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Computers, Materials & Continua 2025年第1期82卷 1171-1192页

作者： Zhe Li Yun Liang Jinyu Wang Yang Gao State Grid Henan Electric power company Electric power Scientific Research Institute State Grid Henan Electric Power CompanyZhengzhou450052China

Iced transmission line galloping poses a significant threat to the safety and reliability of power systems,leading directly to line tripping,disconnections,and power *** early warning methods of iced transmission line galloping suffer from issues such as reliance on a single data source,neglect of irregular time series,and lack of attention-based closed-loop feedback,resulting in high rates of missed and false *** address these challenges,we propose an Internet of Things(IoT)empowered early warning method of transmission line galloping that integrates time series data from optical fiber sensing and weather ***,the method applies a primary adaptive weighted fusion to the IoT empowered optical fiber real-time sensing data and weather forecast data,followed by a secondary fusion based on a Back Propagation(BP)neural network,and uses the K-medoids algorithm for clustering the fused ***,an adaptive irregular time series perception adjustment module is introduced into the traditional Gated Recurrent Unit(GRU)network,and closed-loop feedback based on attentionmechanism is employed to update network parameters through gradient feedback of the loss function,enabling closed-loop training and time series data prediction of the GRU network ***,considering various types of prediction data and the duration of icing,an iced transmission line galloping risk coefficient is established,and warnings are categorized based on this ***,using an IoT-driven realistic dataset of iced transmission line galloping,the effectiveness of the proposed method is validated through multi-dimensional simulation scenarios.

关键词： Optical fiber sensing multi-source data fusion early warning of galloping time series data IoT adaptive weighted learning irregular time series perception closed-loop attention mechanism

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Construction Concept and Innovative Practices of Virtual power Plants in Megacities Under Electricity Market Environment

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Dianwang Jishu/power System Technology 2025年第1期49卷 103-112页

作者： Tang, Jun Gao, Hongchao Yu, Tao Kang, Chongqing State Grid shanghai Municipal Electric power company Pudong New Area Shanghai 200122 China National Key Laboratory of New power System Operation and Control [Tsinghua University Haidian District Beijing 100084 China

With the accelerated construction of new power systems, the Virtual power Plant (VPP), a key component of the new energy framework, provides critical support for safe supply, energy conservation, and emission reduction for power systems. However, the increasingly diverse technological forms and application scenarios of VPPs present challenges for standardization in large-scale development. A timely summary and generalization of VPP development principles, construction pathways, and technical practices can promote technical synergy and drive industry growth. This paper takes the VPP in a megacity as a typical use case. It thoroughly discusses the top-level design of the VPP by reviewing and analyzing four perspectives of form, policy, market, and standards. Secondly, this paper examines a multi-spatiotemporal regulation technology system for VPPs from three dimensions precise response, regional coordination, and fast regulation, which supports the normalized operation of shanghai’s VPP. Then, this paper introduces the large-scale demonstration outcomes of shanghai’s VPP, offering a valuable reference for development constructions and innovative practices of VPPs at the megacity scale. Finally, by analyzing the construction and operational outlook of shanghai's VPP, this paper distills a clear pathway for its future development. © 2025 power System Technology Press. All rights reserved.

关键词： Virtual power Plants

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Prediction of Pollution Flashover voltage Based on Leakage Current Under AC Operating voltage

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高电压技术 2012年第8期38卷 1924-1929页

作者： MEI Hongwei WANG Liming GUAN Zhicheng MAO Yingke Graduate School at Shenzhen Tsinghua University Shenzhen 518055 China shanghai extra high voltage power transmission company Shanghai 200063 China

This paper presented a model to predict the AC flashover voltage of contaminated suspension *** prediction method is based on the maximum leakage current under AC operating *** kinds of widely used suspension insulators were tested in various contamination states such as pollution layers with different equivalent salt deposit density(ESDD),different composition of the conductive components,different non-soluble deposit density(NSDD) and different pollution distribution states to simulate the contamination states in *** effective ESDD was proposed and *** of contamination states to maximum leakage current and flashover voltage were ***,the relationships between flashover voltage and leakage current in these states were ***,considering the difference of insulator profiles,a new parameter is defined and a model to estimate the flashover voltage based on this parameter is *** model could be used in all kinds of suspension insulators in different contamination states and was validated by the test results.

关键词：局部放电射频信号放电量高电压技术

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A Grid Cell Based Distribution Network Planning Method Adapting to the Increasing Permeability of Distributed Resources

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Dianwang Jishu/power System Technology 2025年第1期49卷 306-315页

作者： Zhou, Yang Wang, Zhuding Zhang, Man Yang, Jie Shu, Dongsheng State Key Laboratory of power transmission Equipment & System Security and New Technology Chongqing University Shapingba District Chongqing 400044 China Chongqing Electric Energy Star Inc Jiulongpo District Chongqing 400039 China Economic Research Institute of State Grid Hubei Electric power company Hubei Province Wuhan 430000 China

Based upon the existing research findings of distribution network planning，and based on the optimization division of power areas (or grid cells), a heuristic method of distribution network planning, i.e., the grid cell based distribution network planning method, is proposed to adapt to the gradual increase in the penetration rate of distributed resources, wherein the power balancing method involves differential approaches of different space-time-resources and two typical operating modes. The optimization division of grid cells is carried out by the principles of nearby use for distributed power resources and "nearby backup supply", resulting in the regional grid cell, substation grid cell, medium-voltage and low-voltage grid cell in terms of space, and also the energy output type, energy input type and balance type in terms of resources. The real planning example shows that the proposed method has relatively strong operability. © 2025 power System Technology Press. All rights reserved.

关键词： power distribution planning

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Lightweight Intrusion Detection Using Reservoir Computing

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Computers, Materials & Continua 2024年第1期78卷 1345-1361页

作者： Jiarui Deng Wuqiang Shen Yihua Feng Guosheng Lu Guiquan Shen Lei Cui Shanxiang Lyu Joint Laboratory on Cyberspace Security China Southern Power GridGuangzhou510080China College of Cyber Security Jinan UniversityGuangzhou510632China Guangdong power Grid company Limited Guangzhou510663China School of Computer Science and Technology Guangdong University of TechnologyGuangzhou510006China China Southern power Grid Extra High Voltage Transmission CompanyGuangzhouChina

The blockchain-empowered Internet of Vehicles(IoV)enables various services and achieves data security and privacy,significantly advancing modern vehicle ***,the increased frequency of data transmission and complex network connections among nodes also make them more susceptible to adversarial *** a result,an efficient intrusion detection system(IDS)becomes crucial for securing the IoV *** IDSs based on convolutional neural networks(CNN)often suffer from high training time and storage *** this paper,we propose a lightweight IDS solution to protect IoV against both intra-vehicle and external *** approach achieves superior performance,as demonstrated by key metrics such as accuracy and ***,our method achieves accuracy rates ranging from 99.08% to 100% on the Car-Hacking dataset,with a remarkably short training time.

关键词： Echo state network intrusion detection system Internet of Vehicles reservoir computing

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Multi-agent-based Rolling Optimization Method for Restoration Scheduling of Distribution Systems with Distributed Generation

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Journal of Modern power Systems and Clean Energy 2020年第4期8卷 737-749页

作者： Donghan Feng Fan Wu Yun Zhou Usama Rahman Xiaojin Zhao Chen Fang IEEE Key Laboratory of Control of power transmission and Conversion of the Ministry of Education Department of Electrical EngineeringShanghai Jiao Tong UniversityShanghaiChina Electric power Research Institute State Grid Shanghai Municipal Electric Power CompanyShanghaiChina

Resilience against major disasters is the most essential characteristic of future electrical distribution systems(EDSs).A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this *** a blackout occurs,considering the risk of losing the centralized authority due to the failure of the common core communication network,the available agents after disasters or cyber-attacks identify the communication-connected parts(CCPs)in the EDS with distributed communication.A multi-time interval optimization model is formulated and solved by the agents for the restoration scheduling of a CCP.A rolling optimization process for the entire EDS restoration is *** the scheduling/rescheduling in the rolling process,CCPs in EDS are re-identified and the restoration schedules for CCPs are *** decentralized decision-making and rolling optimization,EDS restoration scheduling can automatically start and periodically update itself,providing an effective solution for EDS restoration scheduling in a blackout event.A modified IEEE123-bus EDS is utilized to demonstrate the effectiveness of the proposed method.

关键词： Electrical distribution system restoration scheduling multi-agent system rolling optimization

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Comprehensive review of modeling,structure,and integration techniques of smart buildings in the cyber-physical-social system

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Frontiers in Energy 2022年第1期16卷 74-94页

作者： Kai GONG Jianlin YANG Xu WANG Chuanwen JIANG Zhan XIONG Ming ZHANG Mingxing GUO Ran LV Su WANG Shenxi ZHANG Key Laboratory of Control of power transmission and Conversion of the Ministry of Education Shanghai Jiao Tong UniversityShanghai 200240China State power Investment Corporation Limited Wind power Innovation Center Shanghai 201100China State Grid shanghai Municipal Electric power company Shanghai 201100China

Smart buildings have been proven to be a kind of flexible demand response resources in the power *** maximize the utilization of the demand response resources,such as the heating,ventilating and air-conditioning(HVAC),the energy storage systems(ESSs),the plug-in electric vehicles(PEVs),and the photovoltaic systems(PVs),their controlling,operation and information communication technologies have been widely *** human behaviors and cyber space,a traditional power system evolves into a cyberphysical-social system(CPSS).Lots of new operation frameworks,controlling methods and potential resources integration techniques will be ***,these new techniques urge the reforming requirement of the techniques on the modeling,structure,and integration techniques of smart *** this paper,a brief comprehensive survey of the modeling,controlling,and operation of smart buildings is ***,a novel CPSS-based smart building operation structure is proposed,and the integration techniques for the group of smart buildings are ***,available busi-ness models for aggregating the smart buildings are ***,the required advanced technologies for well-developed smart buildings are outlined.

关键词： smart buildings cyber-physical-social-sys-tem optimization modeling demand response virtual power plant

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power Flow Calculation for VSC-based AC/DC Hybrid Systems Based on Fast and Flexible Holomorphic Embedding

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Journal of Modern power Systems and Clean Energy 2024年第5期12卷 1370-1382页

作者： Peichuan Tian Yexuan Jin Ning Xie Chengmin Wang Chunyi Huang Key Laboratory of Control of power transmission and Conversion(Ministry of Education) Shanghai Jiao Tong UniversityShanghai 200240China the State Grid Hangzhou power Supply company Hangzhou310009China

The power flow(PF)calculation for AC/DC hybrid systems based on voltage source converter(VSC)plays a crucial role in the operational analysis of the new energy *** fast and flexible holomorphic embedding(FFHE)PF method,with its non-iterative format founded on complex analysis theory,exhibits superior numerical performance compared with traditional iterative *** paper aims to extend the FFHE method to the PF problem in the VSC-based AC/DC hybrid *** form the AC/DC FFHE PF method,an AC/DC FFHE model with its solution scheme and a sequential AC/DC PF calculation framework are *** AC/DC FFHE model is established with a more flexible form to incorporate multiple control strategies of VSC while preserving the constructive and deterministic properties of original FFHE to reliably obtain operable AC/DC solutions from various initializations.A solution scheme for the proposed model is provided with specific recursive solution processes and accelerated Padé*** achieve the overall convergence of AC/DC PF,the AC/DC FFHE model is integrated into the sequential calculation framework with well-designed data exchange and control mode switching *** proposed method demonstrates significant efficiency improvements,especially in handling scenarios involving control mode switching and multiple *** numerical tests,the superiority of the proposed method is confirmed through comparisons of accuracy and efficiency with existing methods,as well as the impact analyses of different initializations.

关键词： AC/DC power flow holomorphic embedding numerical performance voltage source converter(VSC)

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Accommodating Uncertain Wind power Investment and Coal-fired Unit Retirement by Robust Energy Storage System Planning

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CSEE Journal of power and Energy Systems 2022年第5期8卷 1398-1407页

作者： Dundun Liu Shenxi Zhang Haozhong Cheng Lu Liu Zheng Wang Da Sang Ruijin Zhu Key Laboratory of Control of power transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China State Grid East China Branch Shanghai 200002China State Grid shanghai Municipal Electric power company Shanghai 200002China

Increasing wind power integration and coal-fired unit retirements increases the strain on the power system’s spinning reserve and increases the pressure on peak *** the ability to stock extra power generation and supply the peak load,the energy storage system(ESS)can alleviate the rising demand on the spinning reserve and play an increasingly important role in the power *** this paper,a trilevel robust ESS planning model is proposed to accommodate uncertain wind power investment as well as coal-fired unit *** upper-level of this model is to determine the planning scheme of ESSs,which iteratively takes the worst-case scenario of wind power investment and coal-fired unit retirement into *** middle-level and lower-level of this model are to make the optimal daily economic dispatch under the worst-case realizations of *** derive an equivalent reformulation of the proposed robust ESS planning model and solve it with a dual column-and-constraint generation *** studies are conducted using the IEEE RTS-79 *** results demonstrate the superiority of the proposed planning method in comparison with other ***,the effects of the capital cost of ESS,the expected proportion of wind power,and the uncertainty budget on the development of ESS are *** the uncertainties of unit retirement and wind power investment into consideration achieves a better trade-off between the ESS investment cost and the operational cost.

关键词： Coal-fired unit retirement energy storage system planning robust optimization uncertainty wind power

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Demand-side Response Strategy of Multi-microgrids Based on an Improved Co-evolution Algorithm

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CSEE Journal of power and Energy Systems 2021年第5期7卷 903-910页

作者： Yang Gao Qian Ai Key Laboratory of Control of power transmission and Conversion Shanghai Jiao Tong UniversityShanghai 200240China

An effective modeling and optimization method,which takes into account source-load-storage coordination,and full-time collaborative optimization within and outside micro-grids,is *** the operational conditions of various resources and their interactions,an energy management model for microgrids is proposed aiming at maximization of renewable energy utilization and minimization of overall system *** model is suitable for both real-time pricing and time-of-use *** microgrids,demand response and economic energy storage dispatch are introduced to enhance selfcoordination and self-balancing ability among different *** on whether there is still an imbalance between supply and demand after coordination within a niicrogrid,trade between it and external microgrids are optimized in a orderly manner by considering different transaction prices and usage ***,three different schemes are designed,where the Lagrangian multiplier method as well as a co-evolution algorithm are used to solve and analyze different examples,verifying the reliability and validity of the method proposed in this paper.

关键词： Terms—Co-evolution demand-side response multi-microgrids source-load-storage coordination.

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