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Journal of Modern power Systems and Clean Energy 2023年第3期11卷 907-916页

作者： Yadong Liu Zichang Li Yingjie Yan Guanghui He Jian Fang Kejun Li Xiuchen Jiang institute of intelligent power transmission and distribution.shanghai jiao tong university Shanghai 201100China Electric power Test institute of Guangzhou power Supply Bureau Co. Ltd.Guangzhou 510420China IEEE

The single-line-to-ground faults with line breaks(SLGFs-LBs)occur more and more frequently in distribution networks and can cause major safety accidents.It is difficult to distinguish the single-line-to-ground faults(SLGFs)in resonant grounding systems and ungrounding systems due to the same electrical characteristics on the source side and uncertain operation conditions of distribution networks.This paper proposes a method for distinguishing SLGFs-LBs and SLGFs.First,the source-side and load-side voltage characteristics of SLGFs and SLGFs-LBs are analyzed,and the phase difference between the voltages of the fault phase and non-fault phase on the load side is selected as the identification criterion.Phasor measurement units(PMUs)are selected as measuring devices.Then,the effects of operation conditions and external devices in distribution networks on the proposed method are discussed,and the phase errors caused by them are calculated to correct the identification method.Finally,the field testing and simulation experiments are conducted to verify the effectiveness and robustness of the proposed method.

关键词： distribution network phase measurement unit single-line-to-ground fault(SLGF) identification method influencing factor

Electric Vehicle Charging Situation Awareness for Ultra-Short-Term Load Forecast of Charging Stations

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Journal of shanghai jiaotong university(Science) 2023年第1期28卷 28-38页

作者：史一炜刘泽宇冯冬涵周云张开宇李恒杰 Key Laboratory of Control of power transmission and Conversion(Ministry of Education) Shanghai Jiao Tong UniversityShanghai 200240China Electric power Research institute State Grid Shanghai Municipal Electric Power CompanyShanghai 200122China School of Electrical Engineering and Information Engineering Lanzhou University of TechnologyLanzhou 730050China

Electric vehicles(EVs)are expected to be key nodes connecting transportation-electricity-communication networks.Advanced automotive electronics technologies enhance EVs’perception,computing,and communication capacity,which in turn can boost the operational efficiency of intelligent transportation systems(ITSs).EVs couple the ITS to the power system,providing a promising solution to charging congestion and transformer overload via navigation and forecasting approaches.This study proposes a privacy-preserving EV charging situation awareness framework and method to forecast the ultra-short-term load of charging stations.The proposed method only relies on public information from commercial service providers.In the case study,data are powered by the Baidu LBS cloud and EV-SGCC platform,and the experiment is conducted within an area of Pudong New District in shanghai.Based on the results,the charging load of charging stations can be adequately forecasted more than 1 min ahead with low communication and computing power requirements.This research provides the basis for further studies on operation optimization and electricity market transaction of charging stations.

关键词： electric vehicle(EV) intelligent transportation system(ITS) situation awareness charging load forecast

Automatic infrared image recognition method for substation equipment based on a deep self-attention network and multi-factor similarity calculation

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Global Energy Interconnection 2022年第4期5卷 397-408页

作者： Yaocheng Li Yongpeng Xu Mingkai Xu Siyuan Wang Zhicheng Xie Zhe Li Xiuchen Jiang School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University200240 ShanghaiP.R.China State Grid Shandong Electric power Company Jinan power Supply Company 250001 ShandongP.R.China Maintenance&Test Center of EHV power transmission Company China Southern Power Grid510000 GuangdongP.R.China

Infrared image recognition plays an important role in the inspection of power equipment.Existing technologies dedicated to this purpose often require manually selected features,which are not transferable and interpretable,and have limited training data.To address these limitations,this paper proposes an automatic infrared image recognition framework,which includes an object recognition module based on a deep self-attention network and a temperature distribution identification module based on a multi-factor similarity calculation.First,the features of an input image are extracted and embedded using a multi-head attention encoding-decoding mechanism.Thereafter,the embedded features are used to predict the equipment component category and location.In the located area,preliminary segmentation is performed.Finally,similar areas are gradually merged,and the temperature distribution of the equipment is obtained to identify a fault.Our experiments indicate that the proposed method demonstrates significantly improved accuracy compared with other related methods and,hence,provides a good reference for the automation of power equipment inspection.

关键词： Substation equipment Infrared image intelligent recognition Deep self-attention network Multi-factor similarity calculation

Dual Interval Optimization Based Trading Strategy for ESCO in Day-ahead Market with Bilateral Contracts

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Journal of Modern power Systems and Clean Energy 2020年第3期8卷 582-590页

作者： Shengmin Tan Xu Wang Chuanwen Jiang Key Laboratory of Control of power transmission and Conversion Ministry of EducationShanghai Jiao Tong UniversityShanghai 200240China

Being capable of aggregating multiple energy resources, the energy service company(ESCO) has been regarded as a promising alternative for improving power system flexibility and facilitating the consumption of renewable resources in the electricity market. Considering the uncertain variables in day-ahead(DA) market trading, an ESCO can hardly determine their accurate probability distribution functions. Traditional interval optimization methods are used to process these uncertain variables without specific probability distribution functions.However, the lower and upper bounds of the intervals may change due to extreme weather conditions and other emergent events. Hence, a dual interval optimization based trading strategy(DIOTS) for ESCO in a DA market with bilateral contracts(BCs) is proposed. First, we transfer the dual interval optimization model into a simple model consisting of several interval optimization models. Then, a pessimistic preference ordering method is applied to solve the derived model. Case studies illustrating an actual test system corroborate the validity and the robustness of the proposed model, and also reveal that ECSO is critical in improving power system flexibility and facilitating the ability of absorbing renewable resources.

关键词： Dual interval optimization energy service company(ESCO) day-ahead market bilateral contract market

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 paper.When 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 proposed.During the scheduling/rescheduling in the rolling process,CCPs in EDS are re-identified and the restoration schedules for CCPs are updated.Through 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

Ontology-Based Semantic Multi-agent Framework for Micro-grids with Cyber Physical Concept

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Journal of Donghua university(English Edition) 2015年第2期32卷 203-208页

作者：许少伦冯冬涵孙弢白荣静赵静波雷金勇 Key Laboratory of Control of power transmission and Conversion Ministry of EducationDepartment of Electrical EngineeringShanghai Jiao Tong University Electric power Research institute Jiangsu Electric Power Company Electric power Research institute China Southern Power Grid

The distributed hierarchical control based on multi-agent system(MAS) is the main control method of micro-grids.By allowing more flexible interactions between computing components and their physical environments,cyber physical system(CPS) presents a new approach for the distributed hierarchical engineering system,with micro-grids included.The object of this paper is to integrate the CPS concept with MAS technology and propose a new control framework for micro-grids.With the analysis of the operating mode and control method of micro-grids,the cyber physical control concepts of ontologybased semantic agent are discussed.Then an MAS-based architecture of cyber physical micro-grid system and an intelligent electronic device(IED) function structure are proposed.Finally,in order to operate and test the cyber physical micro-grid concept,an integrated simulation model is presented.

关键词： cyber physical system(CPS) hybrid control microgrid multi-agent system(MAS) smart grid integrated simulation

Cyber-physical power System Modeling for Timing-driven Control of Active distribution Network

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Journal of Modern power Systems and Clean Energy 2020年第3期8卷 549-556页

作者： Yun Wang Dong Liu Xiaochun Xu Hui Dai Electrical Engineering Department of shanghai jiao tong university China State Grid shanghai Electric power Research institute China State Grid Jiangsu Huai’an power Supply Company China

In a cyber-physical power system, active distribution network(ADN) facilitates the energy control through hierarchical and distributed control system(HDCS). Various researches have dedicated to develop the control strategies of primary devices of ADN. However, an ADN demonstration project shows that the information transmission of HDCS may cause time delay and response lag, and little model can describe both the ADN primary device and HDCS as a cyber-physical system(CPS). In this paper, a hybrid system based CPS model is proposed to describe ADN primary devices, control information flow, and HDCS. Using the CPS model, the energy process of primary devices and the information process of HDCS are optimized by model predictive control(MPC) methodology to seamlessly integrate the energy flow and the information flow. The case study demonstrates that the proposed CPS model can accurately reflect main features of HDCS, and the control technique can effectively achieve the operation targets on primary devices despite the fact that HDCS brings adverse effects to control process.

关键词： Active distribution network(ADN) cyber-physical system(CPS) hybrid system hierarchical and distributed control system

Ultra-low-loss multi-layer 8×8 microring optical switch

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Photonics Research 2023年第5期11卷 712-723页

作者： XIN LI WEI GAO LIANGJUN LU JIANPING CHEN LINJIE ZHOU State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Laboratory of Navigation and LocationServicesShanghai Institute for Advanced Communication and Data ScienceDepartment of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China SJTU-Pinghu institute of intelligent Optoelectronics Pinghu 314200China

Microring-based optical switches are promising for wavelength-selective switching with the merits of compact size and low power consumption.However,the large insertion loss,the high fabrication,and the temperature sensitivity hinder the scalability of silicon microring optical switch fabrics.In this paper,we utilize a three-dimensional(3D)microring-based optical switch element(SE)on a multi-layer Si_(3)N_(4)-on-SOI platform to realize highperformance large-scale optical switch fabrics.The 3D microring-based SE consists of a Si∕Si_(3)N_(4) waveguide overpass crossing in the bottom and the top layers,and Si_(3)N_(4) dual-coupled microring resonators(MRRs)in the middle layer.The switch is calibration-free and has low insertion loss.With the 3D microring-based SEs,we implement an 8×8 crossbar optical switch fabric.As the resonance wavelengths of all SEs are well aligned,only one SE needs to be turned on in each routing path,which greatly reduces the complexity of the switch control.The optical transmission spectra show a box-like shape,with a passband width of~69 GHz and an average on-state loss of~0.37 dB.The chip has a record-low on-chip insertion loss of 0.52-2.66 dB.We also implement a non-duplicate polarization-diversity optical switch by using the bidirectional transmission characteristics of the crossbar architecture,which is highly favorable for practical applications.100 Gb/s dual-polarization quadrature-phase-shift-keying(DP-QPSK)signal is transmitted through the switch without significant degradation.To the best of our knowledge,this is the first time that 3D MRRs have been used to build highly scalable polarization-diversity optical switch fabrics.

关键词： polarization microring optical

Application status and development trends for intelligent perception of distribution network

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High Voltage 2021年第6期6卷 938-954页

作者： Yingjie Yan Yadong Liu Jian Fang Yuefeng Lu Xiuchen Jiang Department of Electrical Engineering Shanghai Jiao Tong UniversityShanghaiChina power Test Research institute of Guangzhou power Supply Bureau of Guangdong power Grid Co. Ltd.GuangzhouChina China Southern power Grid GuangzhouChina

intelligent perception is the cornerstone of digitalisation of power grid.Due to the closest connection with users,the information perception ability of distribution network directly affects the reliability of power supply.distribution network has a wide range of geographical distribution and equipment types.The application of intelligent perception is with high complexity and dynamics under the limitation of both technology and management.Therefore,the study first sorts out the current application status of intel-ligent perception technology and equipment in distribution network from three appli-cation fields including distribution automation,metering systems,and inspection.Then,the constraints of existing intelligent perception applications and the key points of further research are pointed out.Finally,the development trends of intelligent perception technology in distribution network are presented from the three aspects of basic tech-nology,perception equipment,and advanced applications.With the improvement of sensing,communication,energy acquisition,chips and perception equipments,the depth and breadth of advanced applications in distribution network will be expanded.The research results can provide references for the follow‐up research and practice of intel-ligent perception in distribution networks.

关键词： network distribution perception

Continuous-variable quantum key distribution with on-chip light sources

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Photonics Research 2023年第4期11卷 504-516页

作者： LANG LI TAO WANG XINHANG LI PENG HUANG YUYAO GUO LIANGJUN LU LINJIE ZHOU GUIHUA ZENG State Key Laboratory of Advanced Optical Communication Systems and Networks Center for Quantum Sensing and Information ProcessingDepartment of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China shanghai Research Center for Quantum Sciences Shanghai 201315China State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Laboratory of Navigation and Location ServicesDepartment of Electronic EngineeringShanghai Jiao Tong UniversityShanghai 200240China SJTU-Pinghu institute of intelligent Optoelectronics Pinghu 314200China

Integrated quantum key distribution(QKD)systems based on photonic chips have high scalability and stability,and are promising for further construction of global quantum communications networks.On-chip quantum light sources are a critical component of a fully integrated QKD system;especially a continuous-variable QKD(CVQKD)system based on coherent detection,which has extremely high requirements for the light sources.Here,for what we believe is the first time,we designed and fabricated two on-chip tunable lasers for CV-QKD,and demonstrated a high-performance system based on these sources.Because of the high output power,fine tunability,and narrow linewidth,the involved on-chip lasers guarantee the accurate shot-noise-limited detection of quantum signals,center wavelength alignment of nonhomologous lasers,and suppression of untrusted excess noise.The system’s secret key rate can reach 0.75 Mb/s at a 50 km fiber distance,and the secure transmission distance can exceed 100 km.Our results mark a breakthrough toward building a fully integrated CV-QKD,and pave the way for a reliable and efficient terrestrial quantum-secure metropolitan area network.

关键词： quantum sources distribution