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Energy Engineering 2024年第5期121卷 1223-1243页

作者： Wenlu Ji Teng Tu Nan Ma Nanjing power supply company State Grid Jiangsu Electric Power Co.Ltd.Nanjing210019China

To improve the resilience of a distribution system against extreme weather,a fuel-based distributed generator(DG)allocation model is proposed in this *** this model,the DGs are placed at the planning *** an extreme event occurs,the controllable generators form temporary microgrids(MGs)to restore the load ***,a demand response program(DRP)mitigates the imbalance between the power supply and demand during extreme *** cope with the fault uncertainty,a robust optimization(RO)method is applied to reduce the long-term investment and short-term operation *** optimization is formulated as a tri-level defenderattacker-defender(DAD)*** the first level,decision-makers work out the DG allocation scheme;at the second level,the attacker finds the optimal attack strategy with maximum damage;and at the third level,restoration measures,namely distribution network reconfiguration(DNR)and demand response are *** problem is solved by the nested column and constraint generation(NC&CG)method and the model is validated using an IEEE 33-node *** studies validate the effectiveness and superiority of the proposed model according to the enhanced resilience and reduced cost.

关键词： Distribution system resilience defender-attacker-defender distributed generator demand response microgrids formation

Peer-to-Peer Energy Trading Method of Multi-Virtual power Plants Based on Non-Cooperative Game

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Energy Engineering 2023年第5期120卷 1163-1183页

作者： Jingjing Bai Hongyi Zhou Zheng Xu Yu Zhong Yancheng power supply company of state grid Jiangsu electric power Co. Ltd.Yancheng224008China

The current electricity market fails to consider the energy consumption characteristics of transaction subjects such as virtual power ***,the game relationship between transaction subjects needs to be further *** paper proposes a Peer-to-Peer energy trading method for multi-virtual power plants based on a non-cooperative ***,a coordinated control model of public buildings is incorporated into the scheduling framework of the virtual power plant,considering the energy consumption characteristics of ***,the utility functions of multiple virtual power plants are analyzed,and a non-cooperative game model is established to explore the game relationship between electricity sellers in the Peer-to-Peer transaction ***,the influence of user energy consumption characteristics on the virtual power plant operation and the Peer-to-Peer transaction process is analyzed by case ***,the effect of different parameters on the Nash equilibrium point is explored,and the influence factors of Peer-to-Peer transactions between virtual power plants are *** to the obtained results,compared with the central air conditioning set as constant temperature control strategy,the flexible control strategy proposed in this paper improves the market power of each VPP and the overall revenue of the *** addition,the upper limit of the service quotation of the market operator have a great impact on the transaction mode of *** the service quotation decreases gradually,the P2P transaction between VPPs is more likely to occur.

关键词： Virtual power plant Peer-to-Peer energy trading public building non-cooperative game

Dynamic VAR planning methodology to enhance transient voltage stability for failure recovery

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Journal of Modern power Systems and Clean Energy 2018年第4期6卷 712-721页

作者： Di YANG Haozhong CHENG Zeliang MA Liangzhong YAO Zhonglie ZHU state grid Pudong power supply company SMEPC Department of Electronic Information and electrical Engineering Shanghai Jiao Tong University East China grid company Limited China electric power Research Institute

In recent years, failure recovery after faults is concerned and discussed worldwide as an important and hot topic. Facing the challenge of heavy loads and ultrahigh voltage transmission, it's urgent to propose some solutions to enhance transient voltage stability for failure recovery. Therefore, a novel dynamic volt ampere reactive(VAR) planning methodology is proposed in this paper to help failure recovery and improve transient voltage stability after contingencies. First, a transient voltage fluctuation(TVF) index is proposed to evaluate transient voltage condition after faults. Then dynamic compensationsensitivity is presented for searching the best candidate locations. Following that, the dynamic VAR planning methodology based on an improved Tent chaos multi-objective algorithm is discussed in detail. There are two optimization objects in the optimization. One is to minimize TVF to enhance transient voltage stability for failure recovery. And the other optimization is to minimize dynamic VAR investment cost and operation cost. Finally,IEEE 39 power system and a practical power system are analyzed and discussed. The proposed dynamic VAR planning methodology can support enough reactive power for failure recovery. With the least SVC planning amount and the power loss cost, it can greatly decrease the system TVF index and enhance the transient voltage stability. It's proved that the proposed dynamic VAR planning optimization is effective and helpful for safety operation of power system.

关键词： Dynamic VAR planning Failure recovery Improved Tent mapping chaos optimization Transient stability

Auxiliary Service Dynamic Compensation Mechanism Design for Incentivizing Market Participants to Provide Flexibility in China

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Protection and Control of Modern power Systems 2024年第5期9卷 112-128页

作者： Yibo Wang Yifan Wang Chuang Liu Yuan Fang Guowei Cai Weichun Ge School of electrical Engineering Northeast Electric Power UniversityJilin 132012China state grid Changchun power supply company Changchun 130000China

Because of the rapid growth of new energy and the accompanying considerable uncertainty in the power market,the demand for flexibility in a power sys-tem has risen *** the meantime,the market structure of auxiliary services has changed,resulting in market participants(MPs)benefiting less than expected from providing flexible *** encourage MPs to provide flexibility,this study proposes a dynamic design framework for an auxiliary service compensation *** evaluate the proposed framework,a case study is conducted,examining a peak-shaving service in Liao-ning province in northeast ***,the operational status and limitations of the typical product,the peak-shaving service,in China’s flexibility auxiliary ser-vices market are ***,taking into consideration the time value of the flexible products provided by the MPs,a dynamic mechanism for hierarchical compensation of flexibility auxiliary service costs is proposed,and a mathematical model aimed at optimizing the MPs’comprehensive income is *** results show that,compared with the existing traditional mechanism,the proposed method can effectively guarantee fair remu-neration for the flexibility provider,while easing the tense supply-demand relationship in the flexibility market.

关键词： power system flexibility auxiliary services market peak shaving auxiliary service differentiated operation scenario dynamic hierarchical compensation mechanism

Event-based Two-stage Non-intrusive Load Monitoring Method Involving Multi-dimensional Features

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CSEE Journal of power and Energy Systems 2023年第3期9卷 1119-1128页

作者： Yongjun Zhou Shu Zhang Bolu Ran Wei Yang Ying Wang Xianyong Xiao College of electrical Engineering Sichuan UniversityChengdu 610065China state grid Tibet power company LtdLhasa 850000China state grid Hangzhou power supply company Hangzhou 310000China

This paper proposes an event-based two-stage Nonintrusive load monitoring(NILM)method involving multidimensional features,which is an essential technology for energy savings and ***,capture appliance events using a goodness of fit test and then pair the on-off *** the multi-dimensional features are extracted to establish a feature *** the first stage identification,several groups of events for the appliance have been divided,according to three features,including phase,steady active power and power *** the second stage identification,a“one against the rest”support vector machine(SVM)model for each group is established to precisely identify the *** proposed method is verified by using a public available dataset;the results show that the proposed method contains high generalization ability,less computation,and less training samples.

关键词： Feature library multi-dimensional features NILM residential appliances SVM two-stage identification

Study on Flow Field Simulation at Transmission Towers in Loess Hilly Regions Based on Circular Boundary Constraints

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Energy Engineering 2023年第10期120卷 2417-2431页

作者： Yongxin Liu Huaiwei Cao Puyu Zhao Gang Yang Hua Yu Fuwei He Bo He electric power Research Institute State Grid Shanxi Electric Power CompanyTaiyuan030001China School of electrical Engineering Xi’an Jiaotong UniversityXi’an710049China Xi’an North power supply company State Grid Shaanxi Electric Power CompanyXi’an710018China

When using high-voltage transmission lines for energy transmission in loess hilly regions,local extreme wind fields such as turbulence and high-speed cyclones occur from time to time,which can cause many kinds of mechanical and electrical failures,seriously affecting the reliable and stable energy transmission of the power *** existing research focuses on the wind field simulation of ideal micro-terrain and actual terrain with mostly single microterrain *** boundary constraints and the influence of constrained boundaries are the main problems that need to be solved to accurately model and simulate complex flow *** this paper,a flow field simulation method based on circular boundary constraints is carried *** the study,the influence of the model boundary and the selection conditions of themodeling range are systematically *** is more suitable to make sure that the air domain is 4 times higher than the height of the hill undulations,in addition to ensuring that there should be a minimum of 400 m between the study region and the ***,an actual terrain model of a power grid line in Shanxi is established,through the method proposed in this paper,the wind speed at the location of the transmission tower line under different wind directions is analyzed,and it is found that when the incidence direction is 45 degrees north by east the wind speed is the *** findings demonstrate that the circular boundary model has the advantage of more easily adjusting the wind incidence direction,in addition to theoretically reducing the errors caused by traditional models in boundary *** can accurately obtain the distribution characteristics of the flow field affected by the terrain,and quickly screen out the extreme working conditions that are most harmful to the transmission lines in the actual transmission line for energy transmission in complex loess hilly regions.

关键词： Triangulation finite element analysis most dangerous angle

An Improved Biometric Fuzzy Signature with Timestamp of Blockchain Technology for electrical Equipment Maintenance

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Energy Engineering 2022年第6期119卷 2621-2636页

作者： Rao Fu Liming Wang Xuesong Huo Pei Pei Haitao Jiang Zhongxing Fu state grid Xuzhou power supply company of Jiangsu electric power Co. Ltd.Xuzhou221000China state grid Jiangsu electric power Co. Ltd.Nanjing211000China state grid Jiangsu electric power Co. Ltd.Research InstituteNanjing211103China state grid Yancheng power supply company of Jiangsu electric power Co. Ltd.Yancheng224000China

The power infrastructure of the power system is massive in size and dispersed throughout the ***,how to protect the information security in the operation and maintenance of power equipment is a difficult *** paper proposes an improved time-stamped blockchain technology biometric fuzzy feature for electrical equipment *** with previous blockchain transactions,the time-stamped fuzzy biometric signature proposed in this paper overcomes the difficulty that the key is easy to be stolen by hackers and can protect the security of information during operation and ***,the effectiveness of the proposed method is verified by experiments.

关键词： Blockchain technology fault diagnosis of electrical equipment biometric fuzzy signature timestamp deep learning technology

Robust Load Frequency Control for Isolated Microgrids Based on Double-loop Compensation

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CSEE Journal of power and Energy Systems 2023年第4期9卷 1359-1369页

作者： Yang Mi Yuchen Ma Xingtang He Xingwu Yang Jinxia Gong Yao Zhao Ronghui Liu Wei Wei Shanghai University of electric power Shanghai 200090China. state grid Luoyang power supply company Henan 410000China Tianjin University Tianjin 300072China

Frequency is an important indicator for the oper-ation of ***,the randomness and uncertainty of renewable energy and load variability may lead to frequency ***,a robust load frequency control(LFC)is pro-posed for isolated wind-diesel microgrids considering time delay and parameter *** control strategy can suppress frequency fuctuation and optimize frequency dynamic ***,the double compensation loop,including feedforward control and integral sliding mode control(SMC),is devised to provide anti-disturbance compensation for the diesel generator system and ameliorate the frequency stability of independent ***,a dynamic fuzzy controller,composed of wind speed and load demand,is designed to provide real-time response reference power for doubly fed induction generator systems(DFIGs),which can promote the effective participation of a wind turbine system for frequency ***,the proportional differential(PD)parameters of a dynamic fuzzy controller and the frequency adjustment compensation of DFIGs can be obtained by using a particle swarm optimization(PSO)***,load demand is an important index of the robust dynamic load frequency control method;the radial basis function(RBF)neural network observer(NNO)based on the LFC model is presented to obtain more accurate load deviations and improve the control precision of *** performance of the proposed LFC method is tested under different operation *** Terms-Load frequency control,microgrid,neural network observer,sliding mode,time delay and parameter uncertainty.

关键词： Load frequency control microgrid neural network observer sliding mode time delay and parameter uncertainty.

Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks

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Chinese Journal of Electronics 2019年第6期28卷 1234-1243页

作者： XU Siya LI Peng QI Feng GUO Shaoyong ZHOU Guiping DENG Wei LI Yueyue state Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Shenyang electric power supply company State Grid Liaoning Electric Power Company Co.LTd. Beijing Guodiantong Network Technical Co.LTd.

Real-time network resource allocation based on virtualization technology is an important method to solve the solidification problem of Fiber-wireless(Fi-Wi) access networks. To increase the resource utilization and meet the specific QoS requirements of smart gird communication services, a Load-balancing and QoS based dynamic resource allocation method(LbQ-DR) is proposed with three sub-mechanisms. A time-window based substrate network resource update mechanism is designed to describe the realtime resource consumption of substrate networks, which can balance the accuracy of resource status and the complexity of the allocation algorithm.A QoS-based Virtual network request(VNR) sorting mechanism is presented to precisely calculate the priority of VNRs and reasonably sort the incoming services.A load-balancing based resource allocation mechanism is designed to avoid unbalanced resource ***, the channel interference is considered in the cost of embedding and a collision domain mechanism is introduced to decrease interference. Simulation results demonstrate that the proposed method can provide heterogeneous smart grid businesses with differentiated service, improve the utilization and economic benefits of the network and make the network more balanced.

关键词： Load-balancing Quality of Service(QoS) Smart grid communication networks Fiber-wireless(Fi-Wi) networks Resource allocation

Defect Detection in c-Si Photovoltaic Modules via Transient Thermography and Deconvolution Optimization

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Chinese Journal of electrical Engineering 2024年第1期10卷 3-11页

作者： Zekai Shen Hanqi Dai Hongwei Mei Yanxin Tu Liming Wang state grid Hangzhou power supply company State Grid Zhejiang Electric Power Co.Ltd.Hangzhou 310000China Huairou power supply Branch State Grid Beijing Electric Power Co.Ltd.Beijing 101400China Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518055China

Defects may occur in photovoltaic(PV)modules during production and long-term use,thereby threatening the safe operation of PV power *** thermography is a promising defect detection technology;however,its detection is limited by transverse thermal *** phenomenon is particularly noteworthy in the panel glasses of PV modules.A dynamic thermography testing method via transient thermography and Wiener filtering deconvolution optimization is *** on the time-varying characteristics of the point spread function,the selection rules of the first-order difference image for deconvolution are *** with a broken grid and artificial cracks were tested to validate the performance of the optimization *** with the feature images generated by traditional methods,the proposed method significantly improved the visual *** defect size detection can be realized by combining the deconvolution optimization method with adaptive threshold *** the same batch of PV products,the detection error could be controlled to within 10%.

关键词： Photovoltaic module transient thermography point spread function deconvolution optimization quantitative detection