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International Conference on Electronics Technology (ICET)

作者： Wu Xuelian Liu Fusuo Huang Hui Zhang Hongli Li Wei Power Grid Analysis and Consulting Department NARI Group Corporation/State Grid Electric Power Research Institute Nanjing China State Key Laboratory of Smart Grid Protection and control NARI Group Corporation/ State Grid Electric Power Research Institute Nanjing China

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

With large scale new energy power being connected to the grid, the frequency support capability of the system decreases gradually. In order to meet the regulation requirements of system frequency stability and lay the foundation for frequency stability coordination and optimization control, it is necessary to use reasonable quantitative evaluation indicators for primary frequency regulation performance. Firstly, the dynamic response characteristics of frequency modulation resources in load fluctuation scenarios and large power disturbance scenarios are analyzed separately. Then, by mastering the frequency response characteristics of the system considering primary frequency regulation in different scenarios, the key factors affecting the safety and stability characteristics of the system frequency are determined. Finally, a quantitative evaluation method for the primary frequency regulation performance of frequency modulation resources is proposed, and the applicability of the proposed evaluation method is verified based on typical scenario examples.

关键词： Performance evaluation Frequency modulation Power system dynamics Power system stability Stability analysis Regulation Power grids

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Evaluation Methods for the Degree of Interaction and Coupling between New Energy and DC

Evaluation Methods for the Degree of Interaction and Couplin...

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International Conference on Electronics Technology (ICET)

作者： Wu Xuelian Liu Fusuo Li Zhaowei Zhang Hongli Lai Yening Power Grid Analysis and Consulting Department NARI Group Corporation/State grid electric power research institute Nanjing China State Key Laboratory of Smart Grid Protection and control NARI Group Corporation/ State grid electric power research institute Nanjing China

ISBN: (数字)9798350363951

ISBN: (纸本)9798350363968

The high proportion of new energy connected to multi-infeed direct current power system may cause large-scale new energy to enter low voltage ride-through and multiple DC commutation failures under severe grounding faults, and the interactive coupling effect may affect the subsequent recovery process. In response to this phenomenon, interactive indicators are proposed to evaluate the risk of simultaneous faults between DC and new energy during grounding faults, as well as coupling indicators to evaluate the risk of secondary faults during the recovery process of DC and new energy after grounding faults are cleared. Simulation analysis based on actual power grids shows that this indicator can evaluate the interactive coupling process between new energy low voltage ride-through and DC commutation failure intuitively.

关键词： Couplings Low voltage Time-frequency analysis Grounding Electric shock Voltage Power system stability

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Adaptive algorithm for rapidly optimising the generator-tripping control

Adaptive algorithm for rapidly optimising the generator-trip...

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作者： Huang, Tiangang Xue, Yusheng Xue, Feng Zhao, Junhua Zhang, Jianmin NARI Group Corporation State Grid Electric Power Research Institute Nanjing211106 China School of Electrical Engineering Southeast University Nanjing210096 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China School of Science and Engineering Chinese University of Hong Kong Shenzhen518100 China College of Automation Hangzhou Dianzi University Hangzhou310018 China

The fast optimisation of transient stability emergency control (TSEC) strategy is a key factor of online safeguard for AC-DC interconnected systems. An engineering applicable TSEC algorithm has to obtain the disturbed trajectories of the system by numerical integration, and then do quantised stability knowledge mining. Theoretical analysis and simulation verification reveal that the premise is to identify the unstable mode correctly, and then emergency control decision can be optimised according to the cost performance of the actions. Small integral step is usually needed for accuracy. In order to coordinate the accuracy and computational burden intelligently, this study proposes an algorithm for optimising generator-tripping control, which can adaptively reduce computational burden. If the unstable mode is insensitive to the change of fault parameters (e.g. fault clearing time), this case's time-varying property is more likely to be weak. Only for such cases, large-step Taylor series expansions (LSTSE) can be taken to replace small-step numerical integration (SSNI) and search for the optimal result. Based on its time-varying property, each case can get disturbed trajectories using LSTSE or SSNI adaptively and obtain optimal solution. The excellent performance of this algorithm is verified by simulation of nine Chinese regional power systems under various operating conditions. © 2019 Institution of Engineering and *** right reserved.

关键词： Adaptive algorithms

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Hierarchical annotation method for metal corrosion detection of power equipment

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Journal of Southeast University(English Edition) 2021年第4期37卷 350-355页

作者： Zhang Baili Cao YongZhang Pei Zhang Zhao He Yina Zhong Mingjun School of Computer Science and Engineering Southeast UniversityNanjing 211189China State Key Laboratory of Smart Grid Protection and Control State Grid Electric Power Research InstituteNanjing 211106China NARI Group Corporation Nanjing 211106China Department of Computing Science University of AberdeenAberdeen AB243UEUK

To solve the ambiguity and uncertainty in the labeling process of power equipment corrosion datasets,a novel hierarchical annotation method(HAM)is ***,large boxes are used to label a large area covering the range of corrosion,provided that the area is visually continuous and adjacent to corrosion that cannot be clearly ***,in each labeling box established in the first step,regions with distinct corrosion and relative independence are labeled to form a second layer of nested ***,a series of comparative experiments are conducted with other common annotation methods to validate the effectiveness of *** experimental results show that,with the help of HAM,the recall of YOLOv5 increases from 50.79%to 59.41%;the recall of Faster R-CNN+VGG16 increases from 66.50%to 78.94%;the recall of Faster R-CNN+Res101 increases from 78.32%to 84.61%.Therefore,HAM can effectively improve the detection ability of mainstream models in detecting metal corrosion.

关键词： deep learning Faster R-CNN YOLOv5 object detection hierarchical annotation

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Thermal simulation optimization of DC charger based on ANSYS Icepak

Thermal simulation optimization of DC charger based on ANSYS...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Yu Wang Feiyu Zhou Tan Wen Yan Su Li Yuan Ke Wang State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China State Grid Electric Power Research Institute Nanjing China

As one of the most important charging facilities for electric vehicles, DC chargers provide power supplements for electric *** the continuous development of DC chargers, the power density of their internal functional modules is also increasing. It is urgent to choose a reasonable heat dissipation method to reduce the overall temperature rise inside the DC charger and ensure its safe operation. In this paper, the 80kW DC charger is taken as the research object, and based on ANSYS Icepak thermal simulation software, the internal temperature field and fluid field of the DC charger are simulated and analyzed, and the design scheme of the DC charger is optimized by studying the heat dissipation system. Finally, the optimization scheme of the air duct structure of the system is obtained by adjusting the position of the heat dissipation fan.

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A Coordinated MMC control Strategy of Integrated Photovoltaic/Battery System

A Coordinated MMC Control Strategy of Integrated Photovoltai...

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IEEE International Conference on Energy Internet (ICEI)

作者： Yuexi Yang Xiao Zhou Sichao Wang Chunpeng Li Junwei Huang Wenzheng Xu State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co.Ltd. Beijing China Fujian Key Laboratory of Protection and Operation Control for Smart Grid State Grid Fujian Electric Power Research Institute. Fuzhou China National Research Center for Active Distribution Network Technology Beijing Jiaotong University. Beijing China

The grid-connecting control and maximum power point tracking control of photovoltaic inverters have long been the research focus in the field of solar power generation. In this paper, a new coordinated modular multilevel converter (MMC) control strategy based on virtual synchronization and MPPT is proposed for grid-connected inverters in the PV/Battery system. The proposed strategy realizes frequency and voltage droop control with the synchro's inertia and damping characteristics, and improves the power angle stability as well as system voltage stability. Simulation results in MATLAB/Simulink verifies the feasibility and effectiveness of the proposed control strategy.

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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network

Multi-Objective Optimization of Magnetic Parameters in Wirel...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Yu Lan Jinhai Jiang Kai Song Fengshuo Yang Lin Sang Ke Wang Zhenjun Zhang Xuan Zhang Xuling Li School of Electrical Energineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology CO. LTD. Nanjing China

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler’s design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%.

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Frequency Regulation Market Performance Considering the Complementarity of Wind Park Cluster

Frequency Regulation Market Performance Considering the Comp...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Zirui Huang Jiangfeng Zhang Xianliang Teng Kaifeng Zhang School of Automation Southeast University Nanjing China State Grid Zhejiang Electric Power Research Institute Zhejiang China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China

Modern power systems with high penetration of renewable energy enrich the frequency regulation resources by offering more new clean wind and solar energy. In this paper, we present a bottom-top design of wind park’s participation in the frequency regulation market considering the complementarity of wind park power outputs. By defining a quantitative complementarity index, we show how the complementarity contributes to the regulation reserve reliability of wind parks and the consistent market performance, and verify the conclusions via numerical analysis.

关键词： Wind Renewable energy sources Wind energy System integration Solar energy Regulation Power system reliability

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Optimal Scheduling of Thermoelectricity in Integrated Energy System Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Dongmei Yang Yu Gao Qi Wang Yan Chen Yuchen Guo Meng Wang the State Key Laboratory of Smart Grid Protection and Operation Control Nari Technology Co. Ltd. Nanjing China School of Nari Electric and Automation Nanjing Normal University Nanjing China

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the ‘fixing electricity by heat’ of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits.

关键词： Couplings Cogeneration Optimal scheduling System integration Wind power generation Waste heat Heat recovery

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Framework and technologies of App store in new generation power grid dispatching and control system

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Procedia Computer Science 2021年 183卷 754-760页

作者： Qing Zou Guanyu Wu Kun Huang Jing Yu Yuan Gao NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing 211106 China Nari Technology Co. Ltd Nanjing 211106 China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation Nanjing 211106 China State Grid Jiangsu Elect Power Co. Nanjing 210000 China

In the existing power grid dispatching and control system, the management mechanism of the software version is incomplete; the software quality is difficult to guarantee; the level of automation of the software release is low; the feedback mechanism of the software usage is lacking. So it is difficult to meet the openness requirements of New Generation Power grid Dispatching and control System (NGPGDCS). In this paper, we propose a framework of app store for NGPGDCS, and give some specific introductions to key technologies such as app review and release process, app precise recommendation and download, app intelligent upgrade, and app evaluation feedback. This solution has been piloted in some power grid dispatching and control centers at provincial level and above. Practice has proved that this solution helps to improve the quality of apps, enhance the degree of software automation release, and promote the continuous improvement of the quality of apps.

关键词： app store power grid dispatching control system review release precise recommendation intelligent upgrade evaluation feedback

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