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arXiv 2020年

作者： Jiang, Zicong Zhao, Liquan Li, Shuaiyang Jia, Yanfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of Electrical and Information Engineering Beihua University Jilin132013 China

The "You only look once v4" (YOLOv4) is one type of object detection methods in deep learning. YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure and reduce parameters, which makes it be suitable for developing on the mobile and embedded devices. To improve the real-time of object detection, a fast object detection method is proposed based on YOLOv4-tiny. It firstly uses two ResBlock-D modules in ResNet-D network instead of two CSPBlock modules in Yolov4-tiny, which reduces the computation complexity. Secondly, it designs an auxiliary residual network block to extract more feature information of object to reduce detection error. In the design of auxiliary network, two consecutive 3x3 convolutions are used to obtain 5x5 receptive fields to extract global features, and channel attention and spatial attention are also used to extract more effective information. In the end, it merges the auxiliary network and backbone network to construct the whole network structure of improved YOLOv4-tiny. simulation results show that the proposed method has faster object detection than YOLOv4-tiny and YOLOv3-tiny, and almost the same mean value of average precision as the YOLOv4-tiny. It is more suitable for real-time object detection, especially for developing on embedded devices. Copyright © 2020, The Authors. All rights reserved.

关键词： Object detection

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Evaluation method for node importance based on service in electric power communication network

Evaluation method for node importance based on service in el...

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作者： Zeng, Ying Li, Xingnan Deng, Boren Wu, Runze Zou, Yingjie Luo, Yun Power Dispatch and Control Center of Guangdong Grid GuangzhouGuangdong China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Sichuan Enrising Information Technology Co. Ltd ChengduSichuan China

ISBN: (纸本)9781138028302

A new evaluation method for node importance is proposed with the combination of the node contraction method in complex networks and the functional analysis of the importance evaluation for power service in practical operation. The definite application of this algorithm features the particularity of the power industry. Firstly, we classify the power services, then relate the importance degree of power service to the edge weight which is used to calculate the node weight and its importance. Finally, the simulation example, we have testified corresponds ultimately to the practical situation. © 2015 Taylor & Francis Group, London.

关键词： Complex networks

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Adaptive Parametric Impedance Model Order Reduction Method for Grid-tied renewable energy Dominated Microgrid

Adaptive Parametric Impedance Model Order Reduction Method f...

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2024 International Exhibition and Conference for power Electronics, Intelligent Motion, renewable energy and energy Management, PCIM Asia 2024

作者： Jiang, Xun Mao, Meiqin Xie, Bao Chang, Liuchen Wang, Haijiao Research Center for Photovoltaic System Engineering of Ministry of Education Hefei University of Technology China University of New Brunswick Canada State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute China

ISBN: (纸本)9783800764150

The high-precision reduced order impedance model can significantly reduce the computation burden in the small-signal oscillatory instability detection process of grid-tied renewable energy dominated microgrids (REMGs). However, due to improper interpolation strategies, the existing model order reduction method cannot build the high-precision parametric reduced order impedance model (PROIM) for REMG. To fill these gaps, this paper proposes the adaptive parametric model order reduction method to build a high-precision PROIM for REMGs. In this method, the adaptive optimization of system parameters and frequency interpolation points is achieved by introducing the evaluation indexes including convergence error, cumulative error, and projection matrix rank. The error performance of the obtained PROIM by the proposed method and its efficiency in actual oscillatory stability analysis are validated by a small-scale REMG with 4 different converter-based renewable generators (CREGs) and a real-time simulation model using a large-scale REMG of 4.2 MW with 18 different CREGs. © VDE VERLAG GMBH.

关键词： Microgrids

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Optimised Configuration of Multi-energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

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SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-[A1] flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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Application Research of Chaotic Binary Particle Swarm Optimization Algorithm in Dynamic Spectrum Allocation

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Journal of Computers (Taiwan) 2020年第4期31卷 288-299页

作者： Teng, Zhi-Jun Xie, Lu-Ying Chen, Hao-Lei Zhang, Hua Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology China Ministry of Education[Northeast Electric Power University China Jilin 132012 China School of Electrical Engineering China Northeast Electric Power University China

Dynamic spectrum allocation (DSA) in cognitive radio system has become a hot topic to solve the spectrum scarcity. Particle swarm optimization (PSO) has shown great flexibility in solving the spectrum allocation problem, and many related studies have been proposed. However, there is still room for improvement in the problem that PSO will have a slow convergence rate in the DSA and the latter particle search is easy to fall into the local optimum. In this paper, a dynamic time-varying spectrum allocation scheme based on chaotic binary particle swarm optimization is proposed. The improved algorithm introduces the idea of chaotic map to optimize the initial population and the optimal position of each generation of particles, and utilizes the global ergodicity of chaotic map to overcome the shortcomings of the algorithm. Based on the graph theory model, a mathematical model of dimensionality reduction spectrum allocation is built to realize DSA for users. The experimental results show that the convergence time cost of the improved algorithm is low, and the higher network rewards can be obtained under different experiments, and the fast and efficient spectrum allocation is realized to satisfy the demands of cognitive radio communication. © 2020 Computer Society of the Republic of China. All rights reserved.

关键词： Cognitive radio

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A comparative thermodynamic analysis of Kalina and organic Rankine cycles for hot dry rock:a prospect study in the Gonghe Basin

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Frontiers in energy 2020年第4期14卷 889-900页

作者： Xuelin ZHANG Tong ZHANG Xiaodai XUE Yang SI Xuemin ZHANG Shengwei MEI State Key Laboratory of Control and Simulation of Power System and Generation Equipments Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Jingjing Energy Storage Co. Ltd.Changzhou 213200China School of QiDi(TUS)Renewable Energy Qinghai UniversityXining 810016China

Hot dry rock is a new type of geothermal resource which has a promising application prospect in *** paper conducted a comparative research on performance evaluation of two eligible bottoming cycles for a hot dry rock power plant in the Gonghe *** on the given heat production conditions,a Kalina cycle and three organic Rankine cycles were tested respectively with different ammonia-water mixtures of seven ammonia mass fractions and nine ecofriendly working *** results show that the optimal ammonia mass fraction is 82%for the proposed bottoming Kalina cycle in view of maximum net power *** analysis suggests that wet fluids should be supercritical while dry fluids should be saturated at the inlet of turbine,*** maximum net power output of the organic Rankine cycle with dry fluids expanding from saturated state is higher than that of the other organic Rankine cycle combinations,and is far higher than the maximum net power output in all tested Kalina cycle *** the given heat production conditions of hot dry rock resource in the Gonghe Basin,the saturated organic Rankine cycle with the dry fluid butane as working fluid generates the largest amount of net power.

关键词： hot dry rock Kalina cycle organic Rankine cycle thermodynamic analysis

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An Equivalent Modeling Method for Integrated Hydro-Photovoltaic-Wind systems Based on Particle Swarm Optimization and Neural Networks 4

An Equivalent Modeling Method for Integrated Hydro-Photovolt...

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4th International Conference on Intelligent power and systems, ICIPS 2024

作者： Huang, Ying Lu, Yuanhong Zhao, Yanjun Hu, Yufeng Zhang, Jie Guo, Haiping China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China China Southern Power Grid National Energy Power Grid Technology R & D Centre Guangzhou Guangzhou510663 China China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou Guangzhou510663 China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou Guangzhou510663 China

ISBN: (纸本)9798331532765

The fault transient characteristics of power grids have undergone a fundamental transformation as a consequence of the advent of hybrid scale access to power grids by new energy sources. Nevertheless, the existing stand-alone equivalent model is unable to accurately characterise the fault transient characteristics of the hybrid light-water-wind electric field/cluster. Furthermore, the simulation computation of the stand-alone equivalent model is considerable in scale and the simulation efficiency is low. This paper proposes a particle swarm neural network-based clustered equivalent modelling method for a light-water-wind hybrid electric field. Firstly, a transient model of the light-water-wind hybrid electric field is established, and the characteristic influence factors of faults are constructed through theoretical analysis. These include the distance between the light-water-wind hybrid electric field and the point of common coupling (PCC), the input of current limiting measures on the DC side, the light, the water speed, the wind speed, and the reactive power at the outlet. Subsequently, the Euclidean distance is calculated for the set of characteristic influencing factors, and the initial centre of clustering of wind turbines is extracted based on the improved maximum-minimum distance method. Ultimately, the clustering equivalent modelling is accomplished through the utilisation of the aforementioned feature influencing factors and the classification initial centre as the training set. The simulation results show that compared with the single-machine equivalent model, The simulation error has been reduced from the order of magnitude of 10-2 p.u. to the order of magnitude of 10-4 p.u., while the simulation efficiency of this method is has been reduced from the order of magnitude of 10-2 s to the order of magnitude of 10-4 s. © 2024 IEEE.

关键词： Particle swarm optimization (PSO)

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Design and Optimization of Microstrip Dual Band MIMO Antenna

Design and Optimization of Microstrip Dual Band MIMO Antenna

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International Conference on Optical Communications and Networks (ICOCN)

作者： Xuemei Zheng Junbo Zhao KeyLaboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Northeast Electric Power University Jilin China

As an important component of the RF front-end of wireless communication systems, antenna performance has a decisive impact on the communication ability of the system. This paper designs a high isolation microstrip dual frequency multi input multi output (MIMO) antenna. The antenna selects a bent monopole antenna as the front high-frequency resonance unit. By adding a rear resonance unit to introduce low-frequency resonance, it achieves dual frequency operation at 2.4 GHz and 5.2 GHz. The method of slotting on the floor and hanging metal wires on the back solves the mutual coupling problem between antenna elements. The results show that the antenna can achieve dual frequency operation with good isolation, and its gain, out-of-roundness, and other parameters meet the design requirements, meeting the requirements of wireless communication systems for high communication rate and high communication capacity.

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Optimised Configuration of Multi-energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

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SSRN 2024年

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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Optimised Configuration of Multi-energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

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SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from networking to a hydrogen-fuel-cell supply. This mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-flow-subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy-storage-plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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