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Distribution System Restoration with Cyber Failures Based on Co-dispatching of Multiple Recovery Resources

Journal of Modern power Systems and Clean Energy 2024年第4期12卷 1096-1112页

作者： Zhengze Wei Kaigui Xie Bo Hu Yu Wang Changzheng Shao Pierluigi Siano Jun Zhong National Key Laboratory of Power Transmission Equipment Technology Chongqing UniversityChongqing 400044China Department of Management and Innovation Systems University of SalernoFisciano 84084Italyand he is also with the Department of Electrical and Electronic Engineering ScienceUniversity of JohannesburgJohannesburg 2006South Africa Shenzhen Power Supply Co. Ltd.China Southern Power GridShenzhen 518000China

Improving the restoration efficiency of a distribution system is essential to enhance the ability of power systems to deal with extreme *** distribution system restoration(DSR)depends on the interaction among the electric network(EN),cyber network(CN),and traffic network(TN).However,the coordination of these three networks and codispatching of multiple recovery resources have been mostly *** paper proposes a novel DSR framework,which is formulated as a mixed-integer linear programming(MILP)*** failures in cyber lines result in cyber blind areas,which restrict the normal operation of remote-controlled *** accelerate the recovery process,multiple recovery resources are utilized including electric maintenance crews(EMCs),cyber maintenance crews(CMCs),and emergency communication vehicles(ECVs).Specifically,CMCs and ECVs restore the cyber function of switches in cooperation,and EMCs repair damaged electric *** travel time of these three dispatchable resources is determined by *** effectiveness and superiority of the proposed framework are verified on the modified IEEE 33-node and 123-node test systems.

关键词： Distribution system restoration(DSR) network coupling maintenance crew co-dispatching emergency communicationvehicle

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Research on the Proximity Warning of Lightning Activity Based on Atmospheric Reanalysis Dataset 6

Research on the Proximity Warning of Lightning Activity Base...

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6th IEEE International Conference on power, Intelligent Computing and Systems, ICPICS 2024

作者： Liao, Minchuan Qu, Lu Chen, Huaifei Lv, Qianyong Mao, Xianyin Zhou, Zongguo Wu, Yu Deng, Yeqiang Chen, Yuzhe Electric Power Research Institute of China Southern Power Grid Co. Ltd State Key Laboratory of Hvdc Transmission Technology Guangzhou China Science Institute of Power System of Guizhou Power Grid Co. Ltd Key Laboratory of Ice Prevention & Disaster Reducing China Southern Power Grid Co. Ltd Guiyang China Anshun Power Supply Bureau Guizhou Power Grid Co. Ltd Anshun China Bijie Power Supply Bureau Guizhou Power Grid Co. Ltd Bijie China Electric Power Research Institute China Southern Power Grid Co. Guangzhou China

ISBN: (纸本)9798350374315

Lightning disaster is one of the most harmful disasters to the power system. The current research on lightning proximity warning based on a single class of data is difficult to make a breakthrough in warning accuracy and effectiveness. Therefore, this paper taps into the multidimensional fusion of applied atmospheric reanalysis data to explore the key factors of lightning phenomena on a larger scale. Firstly, the meteorological data and ground flash data were unified with spatial and temporal resolution, and then the KNN model was trained and optimized to compare with common machine learning models such as decision tree, SVM and BP neural network. Then lightning approach prediction with a prediction lead time of 0-60 min was realized by the optimal KNN machine learning algorithm, and the accuracy was improved to about 70%. Finally, it is found that the FAR of the model warning decreases significantly as the misclassification cost rises, but the value needs to be taken according to the actual situation. This study can provide a reference for lightning protection in power systems. © 2024 IEEE.

关键词： Lightning arresters

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Effect of Hydro-Oleophobicity Coating on Swelling and Insulation Properties of SiR for Cable Accessories

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IEEE Transactions on Dielectrics and Electrical Insulation 2025年第3期32卷 1539-1548页

作者： Xing, Yunqi Zhang, Ziyi Cui, Siqian Zha, Junwei Zhu, Wenbo Liu, Hongbo Liu, Baixin Hebei University of Technology State Key Laboratory of Reliability and Intelligence of Electrical Equipment Tianjin300401 China University of Science and Technology Beijing Beijing Advanced Innovation Center for Materials Genome Engineering School of Chemistry and Biological Engineering Beijing100083 China Electric Power Research Institute China Southern Power Grid Guangzhou510080 China

The swelling effect and deterioration of high-voltage cable accessories can easily lead to insulation breakdown and seriously threaten the safe and stable operation of high-voltage cables. This article proposes the preparation of a surface hydro-oleophobicity coating to enhance the swelling resistance of the cable accessories. Wet thermal aging experiments were conducted on silicone rubber (SiR), with subsequent analysis of the interface properties, swelling properties, and electrical properties. The results showed that the SiO2 nanoparticle coating containing carbon-fluorine bonds was formed on the surface of the modified SiR, which enhanced the barrier effect of the sample surface on moisture and silicone grease and suppressed the swelling and damage effect on the SiR. The modification restrained the damage of aging to the surface structure of SiR and improved the surface conductivity, flashover voltage, and potential decay rate. © 1994-2012 IEEE.

关键词： SiO2 nanoparticles

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Current Harmonics Suppression of a grid-Connected PV-Integrated with Energy Storage System 16

Current Harmonics Suppression of a Grid-Connected PV-Integra...

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16th IEEE PES Asia-Pacific power and Energy Engineering Conference, APPEEC 2024

作者： Shen, Fu Fu, Yu Li, Yafei Cao, Yang Qiu, Gefei Zhang, Zhanxi Kunming University of Science and Technology Faculty of Electric Power Engineering Kunming China State Grid Suzhou Power Supply Company Suzhou China Southern Power Grid Electric Vehicle Service Co. Ltd. Shenzhen China

ISBN: (纸本)9798350386127

As the penetration rate of photovoltaic (PV) power generation increases, significant challenges arise concerning the power quality of the power system. The uncertainty of PV output can result in issues such as high levels of harmonic components and waveform distortion. This paper presents a novel approach to mitigate current harmonics in a grid-connected PV system (PVs), which utilizes a voltage and current double closed-loop PI (VCPI) control. Subsequently, the stability of system is confirmed through an examination of the Bode and Pole-Zero diagrams of both the proportional resonant (PR) and PI controller, and the efficacy of the control strategy in suppressing current harmonics with varying light intensities is investigated. Furthermore, a grid-connected PV-integrated with energy storage system (PV-ESs) is utilized to mitigate current harmonics, examining the influence of PV and energy storage system (ESs) output on the harmonic characteristics of the grid current of PVs. The simulation model of grid-connected PVs and P -ESs are fabricated, respectively, validating that the current harmonic characteristics of the grid-connected PV-ESs are 0.37% lower than those of the grid-connected PVs. © 2024 IEEE.

关键词： Bode diagrams

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A Study of Time-of-Use Tariff Planning with Reduced Load Fluctuation Characteristics 5

A Study of Time-of-Use Tariff Planning with Reduced Load Flu...

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5th International Conference on power and Energy technology, ICPET 2023

作者： Liu, Kezhen Zhao, Zhenyan Li, Linyao Lin, Zheng He, Jiedong Liu, Guo Kunming University of Science and Technology Faculty of Electric Power Engineering Kunming China Kunming Power Supply Bureau of Yunnan Power Grid Co. China Southern Power Grid Kunming China

ISBN: (纸本)9798350339673

In response to a large number of tram loads flooding into the power system, electricity prices have become the direct cause of users' enthusiasm changing for electricity and load fluctuations. To decrease the load fluctuation of the power system and improve the earnings of electricity without damaging the electricity cost and enthusiasm of users, this paper proposes a time-of-use electricity price planning which consider the characteristics of power system users. By analyzing the user demand characteristics and the demand curve, the demand response (DR) load and non-response load decomposition plan are formulated. Then, based on the fluctuating demand of the power grid and the income from electricity sales, a multiobjective model is established which consider the DR load characteristics, and the multi-objective optimization algorithm is used to solve the model. Finally, the day-ahea d load forecast and demand response are analyzed to form a multi-objective value-oriented Pareto solution, and the time-of-use (TOU) tariff is selected according to the grid demand. The example analysis shows that the established model can be solved with high efficiency to achieve the target of decreasing load fluctuation, no harming the interests of users, and increasing the price of electricity sales. © 2023 IEEE.

关键词： DR load load decomposition load fluctuation multi-objective modeling time-of-use tariff user characteristics

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Arc-Fault Unwanted Tripping Survey of Hair Dryers with GB31143-Listed Products 18th

Arc-Fault Unwanted Tripping Survey of Hair Dryers with GB311...

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18th Annual Conference of china Electrotechnical Society, ACCES 2023

作者： Ma, Nan Jia, Chuanzhen Li, Zhe Du, Yaping Cheng, Qingsha S. Wu, Zhaoming Pei, Lu Southern Power Grid Company Limited Shenzhen Power Supply Bureau Guangdong Shenzhen China The Hong Kong Polytechnic University Hong Kong Southern University of Science and Technology Guangdong Shenzhen China

ISBN: (纸本)9789819713509

AC arc-fault events in the domestic distribution network release a large amount of energy in a short time and lead to fire accidents, endangering human life and property safety. Arc fault detection devices (AFDD) were invented by manufacturers to detect arc faults. Unfortunately, some normal currents can make these AFDD products trip by mistake, bringing trouble to users. Among them, hair dryers are easier to cause these products unwanted tripping in the process of switching operations due to the half-wave and full-wave AC waveform in the cold and hot air settings. This paper evaluated the performance of five GB31143-Listed products under the unwanted tripping tests of hair dryers. These failed cases are encouraged to consider in the AFDD design process to improve immunity to interference. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Fault detection

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Recent Photovoltaic Cell Parameter Identification Approaches: A Critical Note

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FRONTIERS IN ENERGY RESEARCH 2022年 10卷

作者： Li, Danyang Yang, Bo Li, Lu Li, Qiang Deng, Jihan Guo, Chunhai Faculty of Electric Power Engineering Kunming University of Science and Technology Kunming China Dali Bureau China Southern Power Grid EHV Transmission Company Dali China

Since the 21st century, the global economy has developed rapidly, global energy resources have been decreasing and environmental problems have become increasingly prominent [1]. Solar energy has become the most promising renewable energy source due to its abundant resources and wide distribution [2]. Therefore, the development and utilization of solar photovoltaic technology is one of the important measures to achieve carbon peaking and carbon neutrality [3]. In particular, photovoltaic (PV) system has the characteristics of no danger of depletion, no need to consume fuel, high energy quality and short construction period, which has attracted widespread attention around the world [4]. However, PV system has highly nonlinear properties. Therefore, in order to achieve accurate modeling of PV systems, it is crucial to improve the accuracy of PV system parameter identification. So far, meta-heuristicbased parameter identification strategies for PV systems have been widely used. However, there are still many challenges to improve the accuracy of PV system parameter identification [5]. In the current published literature, strategies to improve the identification accuracy of PV system parameters have not been fully considered, and the potential risks it brings are worth considering. This paper clarifies the above problems and puts forward some views on the problems existing in the identification of PV system *** present, the accuracy of PV system parameter identification is improved by studying the dynamic behavior and output characteristics of different types of PV cell models under different operating states. So as to achieve accurate performance analysis, optimize design and improve the accuracy of PV system parameter identification. Among them, the most common models of PV cells are single diode model (SDM) [5], double diode model (DDM) [5] and three diode model (TDM) [7]. As can be seen from Table 1, the structures of these three PV models are basically simi

关键词： photovoltaic parameter identification meta-heuristic algorithm artificial neural network zero-carbonization

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Fault traveling wave location method based on EMD and improvement threshold denoising 6

Fault traveling wave location method based on EMD and improv...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Bai, Hao Li, Wei Cai, Jianyi Zeng, Xiangjun Jiang, Zhuang Yu, Kun Zhong, Zhenxin Pan, Shuhui Yao, Ruotian Electric Power Research Institute China Southern Power Grid Guangzhou China Shantou Power Supply Company Guangdong Power Grid Shantou China Changsha University of Science & Technology Changsha China Huizhou Power Supply Company Guangdong Power Grid Huizhou China

ISBN: (纸本)9798350346671

To solve the problem of inaccurate location caused by noise interference in the existing distribution network fault transient traveling wave signal, thus a fault location method based on empirical mode decomposition (EMD) and improved threshold denoising is proposed. The EMD algorithm is used to decompose the fault traveling wave signal into Intrinsic mode function (IMF) components, filter out the noisy low frequency components. The IMF with noise is processed by the improved threshold method and reconstructed to realize the accurate calibration of fault traveling wave head. The experimental results show that the proposed method can have good denoising ability and accurately identify the noisy fault traveling wave head. Theoretical analysis and simulation results both show that the method can greatly improve the accuracy of fault diagnosis and location, possessing strong robustness and adaptability. © 2023 IEEE.

关键词： Empirical mode decomposition

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Marine Predators Algorithm Based Optimal Multicore Cable Topology

Marine Predators Algorithm Based Optimal Multicore Cable Top...

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2023 IEEE International Conference on power science and technology, ICPST 2023

作者： Xu, Jiajiang Yan, Shuai Ju, Xiang Zhang, Han Tang, Tiejun Qian, Yucun Yang, Bo EHV Transmission Company China Southern Power Grid Kunming China Kunming Universiy of Science and Technology Kunming China

ISBN: (纸本)9798350311358

Cable is widely used in the secondary circuit and transmission circuit of power plants and substations. However, when the length of the cable is extremely long, the stray capacitance between the core wire and the shielding and between the core wire and the core wire cannot be ignored. Large stray capacitance will have a great impact on the control circuit and threaten the safe and stable operation of the system. In order to reduce the stray capacitance between the cable core wires, an optimal configuration of the cable core wire position based on marine predators algorithm (MPA) is proposed. By reasonably optimizing the position of each core wire in the cable, the stray capacitance between the core wires is minimized. At the end of this paper, by setting the cross-sectional area of the cable to 200 mm2, a single cable core radius of 1.5 mm, the effectiveness and superiority of the proposed method are verified by optimizing the configuration of the three-core and five-core cable models, and the cables with more cores can be optimized to achieve the minimum stray capacitance. © 2023 IEEE.

关键词： Capacitance

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Transformer Inter-Turn Short-Circuit Fault Recognition Based on Deep Learning 5

Transformer Inter-Turn Short-Circuit Fault Recognition Based...

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5th International Conference on Clean Energy and Electric power Engineering, ICCEPE 2024

作者： Zou, Dexu Hou, Xu Quan, Hao Zhou, Tao Peng, Qingjun Wang, Shan Dai, Weiju Hong, Zhihu School of Electrical Engineering Chongqing University Chongqing China China Southern Power Grid Yunnan Power Grid Co. Ltd. Electric Power Research Institute Kunming China School of Automation Nanjing University of Science and Technology Nanjing China

ISBN: (纸本)9798350390315

As a core component of the power grid, the operational status of transformers directly or indirectly impacts the safety of the entire power system. Statistical data indicate that among various transformer faults, inter-turn short circuits in the windings occur most frequently, accounting for approximately 60% to 70% of all faults. Current diagnostic techniques for inter-turn short circuits require shutdown and disassembly, which increases maintenance costs and fails to detect potential transformer faults in a timely manner. To address this issue, this paper proposes a transformer inter-turn short circuit fault diagnosis method based on autoencoders. For fault data acquisition, current waveforms of both primary and secondary windings were obtained through MATLAB/Simulink and labeled with six different fault tags. Regarding the diagnostic network, a novel comprehensive loss function was introduced to optimize the network for feature classification. Additionally, an adaptive optimization algorithm was designed to dynamically adjust the structure of the stacked autoencoder, avoiding the arbitrary selection of network structures based on experience. Experimental results demonstrate that this method exhibits excellent performance in terms of diagnostic accuracy. © 2024 IEEE.

关键词： Transformer windings

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