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Journal of Modern power Systems and Clean Energy 2022年第5期10卷 1326-1336页

作者： Jian Xu Haobo Fu Siyang Liao Boyu Xie Deping Ke Yuanzhang Sun Xiong Li Xiaotao Peng IEEE School of electrical Engineering and Automation Wuhan UniversityWuhan 430072China power Dispatching and Control center of state grid jibei electric power company limited Bejing 100054China

With the rapid increase of distributed photovoltaic(PV) power integrating into the distribution network(DN), the critical issues such as PV power curtailment and low equipment utilization rate have been caused by PV power fluctuations. DN has less controllable equipment to manage the PV power fluctuation. To smooth the power fluctuations and further improve the utilization of PV, the regulation ability from the demandside needs to be excavated. This study presents a continuous control method of the feeder load power in a DN based on the voltage regulation to respond to the rapid fluctuation of the PV power output. PV power fluctuations will be directly reflected in the point of common coupling(PCC), and the power fluctuation rate of PCCs is an important standard of PV ***, a demand-side management strategy based on model predictive control(MPC) to mitigate the PCC power fluctuation is proposed. In pre-scheduling, the intraday optimization model is established to solve the reference power of PCC. In real-time control, the pre-scheduling results and MPC are used for the rolling optimization to control the feeder load demand. Finally,the data from the field measurements in Guangzhou, China are used to verify the effectiveness of the proposed strategy in smoothing fluctuations of the distributed PV power.

关键词： Demand-side management multi-time-scale optimization power fluctuation smoothing load control model predictive control(MPC)

Endogenous Security-Aware Resource management for Digital Twin and 6G Edge Intelligence Integrated Smart Park

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China Communications 2023年第2期20卷 46-60页

作者： Sunxuan Zhang Zijia Yao Haijun Liao Zhenyu Zhou Yilong Chen Zhaoyang You state Key Laboratory of Alternate electrical power System with Renewable Energy Sources(North China electric power University) Beijing 102206China power Dispatching and Control center of state grid Shanghai Municipal electric power company Shanghai 200122China

The integration of digital twin(DT)and 6G edge intelligence provides accurate forecasting for distributed resources control in smart ***,the adverse impact of model poisoning attacks on DT model training cannot be *** address this issue,we firstly construct the models of DT model training and model poisoning *** optimization problem is formulated to minimize the weighted sum of the DT loss function and DT model training ***,the problem is transformed and solved by the proposed Multi-timescAle endogenouS securiTy-aware DQN-based rEsouRce management algorithm(MASTER)based on DT-assisted state information evaluation and attack *** adopts multi-timescale deep Q-learning(DQN)networks to jointly schedule local training epochs and *** actively adjusts resource management strategies based on estimated attack probability to achieve endogenous security *** results demonstrate that MASTER has excellent performances in DT model training accuracy and delay.

关键词： smart park digital twin(DT) 6G edge intelligence resource management endogenous security awareness

Prediction of DC Corona Onset Voltage for Rod-Plane Air Gaps by a Support Vector Machine

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Plasma Science and Technology 2016年第10期18卷 998-1004页

作者：金硕阮江军杜志叶朱琳舒胜文 School of electrical Engineering Wuhan University Wuhan 430072 China state grid Hubei electric power company Technology training center Wuhan 430079 China electric power Research Institute of state grid Fujian electric power company limited Fuzhou 350007 China

This paper proposes a new method to predict the corona onset voltage for a rod- plane air gap, based on the support vector machine （SVM）. Because the SVM is not limited by the size, dimension and nonlinearity of the samples, this method can realize accurate prediction with few training data. Only electric field features are chosen as the input; no geometric parameter is included. Therefore, the experiment data of one kind of electrode can be used to predict the corona onset voltages of other electrodes with different sizes. With the experimental data obtained by ozone detection technology, and experimental data provided by the reference, the efficiency of the proposed method is validated. Accurate predicted results with an average relative less than 3% are obtained with only 6 experimental data.

关键词： corona SVM prediction method electrodes electric fields

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 *** technologies dedicated to this purpose often require manually selected features,which are not transferable and interpretable,and have limited training *** 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 ***,the features of an input image are extracted and embedded using a multi-head attention encoding-decoding ***,the embedded features are used to predict the equipment component category and *** the located area,preliminary segmentation is ***,similar areas are gradually merged,and the temperature distribution of the equipment is obtained to identify a *** 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

Demand Responsive Market Decision-Makings and electricity Pricing Scheme Design in Low-Carbon Energy System Environment

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Energy Engineering 2021年第2期118卷 285-301页

作者： Hongming Yang Qian Yu Xiao Huang Ben Niu Min Qi School of Economics and management School of Electrical and Information EngineeringHunan Provincial Engineering Research Center of Electric Transportation and Smart Distribution NetworkInternational Joint Laboratory of Energy Internet Operation and Planning Based on Distributed Photovoltaic-Storage Energy of Ministry of EducationChangsha University of Science and TechnologyChangsha410114China Zhangjiakou power Supply company State Grid JiBei Electric Power Company LimitedZhangjiakou075000China Zigong power Supply company State Grid Sichuan Electric Power Company LimitedZigong643002China

The two-way interaction between smart grid and customers will continuously play an important role in enhan-cing the overall efficiency of the green and low-carbon electric power industry and properly accommodating intermittent renewable energy *** far,the existing electricity pricing mechanisms hardly match the technical properties of smart grid;neither can they facilitate increasing end users participating in the electri-city *** this paper,several relevant models and novel methods are proposed for pricing scheme design as well as to achieve optimal decision-makings for market participants,in which the mechanisms behind are com-patible with demand response operation of end users in the smart *** electric vehicles and prosumers are jointly considered by complying with the technical constraints and intrinsic economic *** on the demand response of controllable loads,the real-time pricing,rewarding pricing and insurance pricing methods are proposed for the retailers and their bidding decisions for the wholesale market are also presented to increase the penetration level of renewable *** proposed demand response oriented electricity pricing scheme can provide some useful operational references on the cooperative operation of controllable loads and renewable energy through the feasible retail and wholesale market pricing methods,and thereby enhancing the development of the low-carbon energy system.

关键词： Controllable load demand response low-carbon energy system optimal decision retail pricing renewable energy smart grid wholesale pricing

Analysis of Dynamic Appliance Flexibility Considering User Behavior via Non-intrusive Load Monitoring and Deep User Modeling

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CSEE Journal of power and Energy Systems 2020年第1期6卷 41-51页

作者： Shaopeng Zhai Huan Zhou Zhihua Wang Guangyu He School of Electronic Information and electrical Engineering Shanghai Jiao Tong UniversityShanghai 201100China electric power Dispatching and Communication center State Grid Shanghai Municipal Electric Power CompanyShanghai 201200China

The research on non-intrusive load monitoring(NILM)and the growing deployment of home energy manage-ment system(HEMS)have made it possible for households to have a detailed understanding of their power usage and to make appliances participate in demand response(DR)*** flexibility analysis helps the HEMS dispatching appli-ances to participate in DR programs without violating user’s comfort *** this paper,a dynamic appliance flexibility analysis approach using the smart meter data is *** the training phase,the smart meter data is preprocessed by NILM to obtain user’s appliances usage behaviors,which is used to train the user *** operation,the NILM is used to infer recent appliances usage behaviors,and then the user model predicts user’s appliances usage behaviors in the DR period considering long-term behaviors dependences,correlations between appliances and temporal *** flexibility of each appliance is calculated based on the appliance characteristics as well as the predicted user’s appliances usage behaviors caused by the control of the *** HEMS can choose the appliance with high flexibility to participate in the DR *** case study demonstrates the performance of the user model and illustrates how the appliance flexibility analysis is performed using a real-world case.

关键词： Appliance flexibility demandresponse home energy management system non-intrusive load monitoring user behavior

Simulation and Field Testing of Multiple Vehicles Collision Avoidance Algorithms

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IEEE/CAA Journal of Automatica Sinica 2020年第4期7卷 1045-1063页

作者： Chaoyue Zu Chao Yang Jian Wang Wenbin Gao Dongpu Cao Fei-Yue Wang the College of Computer Science and Technology Jilin UniversityChangchun 130012China Jiangsu XCMG Construction Machinery Research Institute Ltd. Xuzhou 221004China the College of Computer Science and Technology Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin UniversityChangchun 130012 Chongqing Xibu Automobile Proving Ground management Co.Ltd. Chongqing 404100China the state grid jibei electric power company limited management training center China the Advanced Vehicle Engineering center Cranfield UniversityCranfield MK430ALUK the state Key Laboratory of management and Control for Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

A global planning algorithm for intelligent vehicles is designed based on the A* algorithm, which provides intelligent vehicles with a global path towards their destinations. A distributed real-time multiple vehicle collision avoidance(MVCA)algorithm is proposed by extending the reciprocal n-body collision avoidance method. MVCA enables the intelligent vehicles to choose their destinations and control inputs independently,without needing to negotiate with each other or with the coordinator. Compared to the centralized trajectory-planning algorithm, MVCA reduces computation costs and greatly improves the robustness of the system. Because the destination of each intelligent vehicle can be regarded as private, which can be protected by MVCA, at the same time MVCA can provide a real-time trajectory planning for intelligent vehicles. Therefore,MVCA can better improve the safety of intelligent vehicles. The simulation was conducted in MATLAB, including crossroads scene simulation and circular exchange position simulation. The results show that MVCA behaves safely and reliably. The effects of latency and packet loss on MVCA are also statistically investigated through theoretically formulating broadcasting process based on one-dimensional Markov chain. The results uncover that the tolerant delay should not exceed the half of deciding cycle of trajectory planning, and shortening the sending interval could alleviate the negative effects caused by the packet loss to an extent. The cases of short delay(< 100100 ms) and low packet loss(< 5%) can bring little influence to those trajectory planning algorithms that only depend on V2 V to sense the context, but the unpredictable collision may occur if the delay and packet loss are further worsened. The MVCA was also tested by a real intelligent vehicle, the test results prove the operability of MVCA.

关键词： Collision avoidance intelligent vehicles intervehicle communication simulation testing trajectory planning

Collaborative optimization model of renewable energy development considering peak shaving costs of various flexibility resources

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Global Energy Interconnection 2021年第4期4卷 394-404页

作者： Ji Liang Xingang Zhao Shangdong Yang School of Economics and management North China Electric Power UniversityChangping DistrictBeijing 102206P.R.China Beijing Key Laboratory of Renewable energy and Low-Carbon Development(North China electric power University) Changping DistrictBeijing 102206P.R.China state grid Talents Exchange and Service center company limited Beijing 100761P.R.China

China has set carbon emission goals for 2030 and *** energy sources,primarily wind and photovoltaic power,are being considered as the future of power *** major limitation to the development of new energies is the limited flexibility of regulations on power system resources,resulting in insufficient consumption ***,the flexible resource costs for peak shaving as well as the reasonable coordinated development and operation optimization of regional renewable energy need to be *** this study,a renewable energy development layout configuration analysis method was established by considering the composite cost of a power system,comprehensively analyzing the potential of various flexibility regulation resources for the power system and its composite peak shaving cost,and combining renewable energy output characteristics,load forecasting,grid development,and other *** the optimization of various flexible resource utilization methods,a peak shaving cost estimation method from the perspective of the entire power system was established by combining the on-grid electricity prices and operating costs of different power sources.A collaborative optimization model of power system operation that aims at the lowest peak shaving cost and satisfies the constraints of operation,safety,and environmental protection was ***,a certain area of Gansu Province was used as an example to perform detailed analysis and calculation,which demonstrated that the model has an optimal *** model can provide an analysis method for regional renewable energy development layout configurations and system optimization operations.

关键词： Renewable Energy Peak Shaving Cost Collaborative Optimization Model

Situation Awareness of Active Distribution Network:Roadmap,Technologies,and Bottlenecks

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CSEE Journal of power and Energy Systems 2016年第3期2卷 35-42页

作者： Jin Lin Can Wan Yonghua Song Renle Huang Xiaoshuang Chen Wanfang Guo Yi Zong You Shi state Key Laboratory of Control and Simulation of power Systems and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China state grid Beijing electric power company Beijing 102200China center for electric power and Energy Technical University of DenmarkElektrovej 325DK 2800Denmark

With the rapid development of local generation and demand response,the active distribution network(ADN),which aggregates and manages miscellaneous distributed resources,has moved from theory to *** and optimal operations now require an advanced situation awareness(SA)system so that operators are aware of operation states and potential *** solutions in distribution supervisory control and data acquisition(DSCADA)as well as the distribution automation system(DAS)generally are not able to meet the technology requirements of *** this paper,the authors’participation in the project of developing an SA system as the basic component of a practical active distribution management system(ADMS)deployed in Beijing,China,is *** paper reviews the ADN’s development roadmap by illustrating the changes that are made in elements,topology,structure,and control *** into consideration these hardware changes,a systematic framework is proposed for the main components and the functional hierarchy of an SA system for the *** SA system’s implementation bottlenecks are also presented,including,but not limited to issues in big data platform,distribution forecasting,and security *** technology solutions are also provided.

关键词： Active distribution network distribution automation system roadmap situation awareness technology bottleneck

Exploration of the effective way of the training management of the ＂apprenticeship＂ of teachers

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International English Education Research 2014年第4期 58-60页

作者： Dong Hongjin Zhang Jian Nanyang Campus of the skills training center State Grid Henan Electric Power Company Nanyang Henan 473001