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4th IEEE International Conference on Electronics Technology, ICET 2021

作者： Yang, Xue Pan, Siyu Hu, Junjie Liu, Baozhu Luo, Kui North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China

ISBN: (纸本)9781728176734

With the rapid development of distributed photovoltaic, electric vehicles, energy storage and other technologies, the group of prosumers with dual functions of power production and consumption is growing. Prosumers have high responsiveness, flexible operation characteristics, and huge development potential. However, individual resources are limited and very scattered, and cannot directly participate in the power auxiliary service market. Therefore, virtual power plants are introduced to effectively aggregate and manage the resources of prosumers. Based on the theory of economic mechanism design, a bidding mechanism for prosumers to participate in the auxiliary service market has been established. This mechanism has the characteristics of incentive compatibility, which can effectively encourage Virtual power plants to report true costs, save electricity costs, and achieve effective resource allocation. The rationality and effectiveness of the proposed mechanism are verified through the analysis of a calculation example. © 2021 IEEE.

关键词： Virtual power Plants

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A Networked Method Applied to Sensitivity Analysis of a VSG controlled BESS system

A Networked Method Applied to Sensitivity Analysis of a VSG ...

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power Engineering (ICPE), International Conference on

作者： Zhiyuan Sun Chao Luo Kun Zheng Yihua Zhu Jiawei Yu Guangxi Power Grid Electric Power Research Institute China Southern Power Grid Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guang zhou China National Energy Power Grid Technology R&D Centre Guang zhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guang zhou China

ISBN: (数字)9798331531140

ISBN: (纸本)9798331531157

The grid-forming battery energy storage system (BESS) plays important role in constructing new energy system. This paper presents a frequency domain modal-based stability analysis of virtual synchronous generator (VSG) controlled BESS. Both ac and dc side interactive dynamics of the grid-tied inverter system are considered, by establishing a hybrid ac/dc impedance network. Then, the frequency domain modal analysis (FMA) method for networked converter systems is applied to the BESS system, covering the eigen-sensitivity from the node level to parameter level. Using this method, key parameters that influence the BESS system’s weakly/negative damping modes most can be better analyzed and identified. The analysis results are validated via the time-domain simulations.

关键词： Battery energy storage system Sensitivity analysis Frequency-domain analysis Modal analysis Stability analysis Synchronous generators Impedance Time-domain analysis Tuning Grid forming

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A Stability-Oriented Expansion Planning of Active Distribution Networks with High Pv Penetration by Coordinating Multiple Flexible Resources

SSRN

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SSRN 2023年

作者： Li, Jianjing Sun, Kai Sun, Bo Li, Fan School of Control Science and Engineering Shandong University Jingshi Road 17923 Jinan250061 China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China

Integrating high-penetration photovoltaics (PVs) into the active distribution network (ADN) often causes overvoltage issues. One significant responsibility of the distribution network operator (DNO) is to design and expand the network to accommodate high-penetration PV integration with stability and low cost. This paper innovatively coordinates the deployment of electric vehicle charging stations (EVCSs) with the rigid requirements and multiple active management resources, and proposes a bi-level ADN expansion planning (ADNEP) method. Firstly, aiming to address uncertainties in generation and load demand, this paper develops an uncertainty description method based on Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) and K-means clustering. Next in bi-level optimization process, the investment cost is minimized by optimizing the siting and sizing of PV, EVCSs, energy storage systems, on-load tap changers, and static var compensators in upper level. In lower level, multi-objective stochastic model that selects network loss, PV abandonment and voltage deviation as multiple optimization objectives is established to optimize the operation output. The established multi-objective ADNEP model is solved by TOPSIS-adaptive particle swarm optimization algorithm. Finally, this bi-level expansion is tested in actual rural 41-bus and urban 40-bus distribution networks, with average investment cost and annual operating costs reduced by 5.54% and 3.18%, respectively. © 2023, The Authors. All rights reserved.

关键词： K-means clustering

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New Energy Consumption Capacity Evaluation Method for Isolated Industrial Park Considering Flexible Load Regulation Ability

New Energy Consumption Capacity Evaluation Method for Isolat...

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IEEE/IAS Industrial and Commercial power system Asia (I&CPS Asia)

作者： Nan Li Hui Xu Zhenlong Tan Haonan Dai Zhibao Zheng Ling Hao Fei Xu Lei Chen Zihao Tong State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China China Three Gorges Renewables (Group) Co. Ltd. Beijing China School of Economics and Management Tsinghua University Beijing China

ISBN: (数字)9798350352290

ISBN: (纸本)9798350352306

In the context of the global energy transition, China is promoting the synergistic integration of energy sources, grids, loads and storage through national strategic policies. This paper examines the challenges of integrating volatile new energy sources, such as wind and solar, into the grids of isolated industrial parks (IIPs). It proposes a model to assess and optimize the consumption capacity of these resources to balance energy production with grid demand effectively. Initially, a “resource-power” conversion model is developed to simulate the potential output of wind and solar installations, given the absence of direct connectivity to the grid in newly established IIPs. Then, with the optimization objective of minimizing the overall cost of isolated grid operation, the new energy consumption capacity of IIPs is evaluated, taking into account the actual operating constraints of thermal power units, the maximum new energy consumption that can be technically achieved, and the regulation potential of flexible load participation response to mitigate the impacts caused by fluctuations in new energy sources. Finally, based on the analysis of the actual operation data of the IIPs, the simulation results show that the IIP can be guided by adjusting the installed capacity parameters for planning the installed size of wind and solar in the IIP before connecting to wind and PV. Moreover, fully exploiting flexible load regulation ability can effectively improve the IIP's wind power consumption capacity, which can provide theoretical guidance for optimizing the IIP's scheduling and promoting new energy consumption.

关键词： Energy consumption Wind Fluctuations Costs Wind energy Production Solar energy Wind power generation Regulation Thermal loading

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Large-scale non-real-time Simulation Platform for power systems Based on Cloud Computing

Large-scale non-real-time Simulation Platform for Power Syst...

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Energy, power and Electrical Engineering (EPEE), International Conference on

作者： Jingyue Zhang Yuanhong Lu Yufeng Hu Jie Zhang Haiping Guo Libin Huang Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China China Southern Power Grid Co. Ltd Guangzhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

The rapid evolution of smart grids has increased the complexity of power system structures and operational characteristics, presenting new challenges in system management and reliability. Traditional power system simulation tools struggle with non-real-time data processing and scalability due to limitations in their architectural designs. Moreover, existing cloud simulation platforms are constrained by closed hardware architectures and lack sufficient non-real-time capabilities. As a solution, we propose a novel large-scale non-real-time simulation platform for power systems based on cloud computing, designed with a modular architecture. By leveraging advanced technologies in cloud computing, parallel computing, and non-real-time simulation, our platform addresses critical needs for scalability, efficiency, and cost-effectiveness. We discuss how integrating these technologies enhances computational performance and supports complex simulation tasks, ultimately improving decision-making and operational efficiency in power system management.

关键词： Cloud computing Scalability power system management Decision making Computer architecture Parallel processing Data processing Computational efficiency Smart grids Reliability

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Comprehensive Evaluation of AC-DC Distribution Network in Photovoltaic-Energy Storage Charging Station Based on AHP-TOPSIS Method 5

Comprehensive Evaluation of AC-DC Distribution Network in Ph...

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5th IEEE Conference on Energy Internet and Energy system Integration, EI2 2021

作者： Zhang, Xinfang Li, Hao Wang, Lei Liu, Yizhao Wang, Fangda Shanxi Key Lab. of Power System Operation and Control Taiyuan University of Technology Taiyuan China Hebei Gas Co. Ltd Taiyuan China Electric Power Research Institute Taiyuan China

ISBN: (纸本)9781665434256

Increasing studies have shown that DC distributi on will contribute substantially to future photovoltaic-energy st orage charging station (PV-ES CS) owing to the high efficiency and play an important role in distribution networks. It is neces sary to comprehensively compare low voltage DC (LVDC) with AC (LVAC) distribution networks for planning and design of PV-ES CS. This paper presents a comprehensive evaluation mo del of the distribution system based on AHP-TOPSIS theory. T he evaluation index system, including reliability, economy and adaptability, is proposed based on the difference of AC and DC distribution network structure and performance. The propose d approach integrates ideal solution (TOPSIS) and Analytic hie rarchy process (AHP) to determine the weights. Finally, the re suits obtained from the case studies have demonstrated the rati onality and feasibility of proposed evaluation model. It is instru ctive to the application and popularization of DC PV-ES CS. © 2021 IEEE

关键词： Energy storage

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Research on power Electronics Converter Real-time Simulation Modeling Method Based on SILDP

Research on Power Electronics Converter Real-time Simulation...

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power Science and Technology (ICPST), IEEE International Conference on

作者： Jin Liu Pengbo Han Zeqi Hong Hui Luo Siyang An Shujun Yao School of Electrical and Electronic Engineering North China Electric Power University Beijing China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

Generally, detailed model of power electronics converter is used in electromagnetic transient simulations. It will use large sources of hardware in FPGA and the speed of simulation is slow. This paper is focus on the modeling method of real-time simulation, and proposed a new model of converter which based on the semi-implicit latency decoupling and paralleling (SILDP) technology. According to the proposed model, the SILDP model of voltage source converter(VSC) is build up. Base on the comparative between the SILDP VSC model and the simulation result waveform of PSCAD model, give the verification that the accuracy and effectiveness of the proposed SILDP VSC model. Finally, the SILDP VSC model is finished the verification in the FPGA experiment platform.

关键词： Accuracy Computational modeling Simulation Voltage Mathematical models Real-time systems Numerical models

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Asynchronous distributed charging protocol for plug-in electric vehicles

Journal of Economy and Technology

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Journal of Economy and Technology 2023年 1卷 29-47页

作者： Yunfan Zhang Yifan Su Yue Chen Feng Liu State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing China China Electric Power Planning & Engineering Institue Beijing China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong Special Administrative Region China

The proliferation of plug-in electric vehicles (PEVs) advocates a distributed paradigm for coordinating PEV charging. Unlike existing primal-dual decomposition or consensus methods, this paper proposes a cutting-plane-based distributed algorithm considering a peer-to-peer (P2P) communication network, which enables asynchronous coordination among PEVs. First, an equivalent surrogate model is established by exploiting the duality of the original optimization problem, which masks the private information of individual users by equivalent transformation. Then, a cutting-plane based algorithm is derived to solve the surrogate problem in a distributed manner with intrinsic superiority to cope with various asynchrony. Critical implementation issues, including distributed initialization, distributed cutting-plane generation, and localized stopping criteria, are discussed in detail. Numerical tests on IEEE 37- and 123-node feeders with actual data illustrate that the proposed method is resilient to several asynchronies and admits the plug-and-play operation mode. The proposed methodology is expected to provide an alternative path toward the robust protocol for PEV charging.

关键词： Asynchronous algorithm Charging protocol Distributed optimization Plug-in electrical vehicles

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Unraveling Plasma Characteristics and Breakdown Mechanism in Nanosecond Pulsed Dielectric Barrier Discharge

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IEEE Transactions on Dielectrics and Electrical Insulation 2025年

作者： Li, Mengbo Chen, She Cui, Yingzhe Wang, Qiao Liu, LinLin Zhou, Xuan Zhuang, Chijie Wang, Feng Hunan University College of Electrical and Information Engineering Changsha410082 China Department of Electrical Engineering Tsinghua University Beijing100084 China China Electric Power Planning & Engineering Institute Beijing100120 China School of Electric Power South China University of Technology Guangzhou510641 China State Key Laboratory of Disaster Prevention & Reduction for Power Grid Changsha University of Science & Technology Changsha410114 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

Nanosecond-pulsed dielectric barrier discharges (DBDs) have gained significant attention for its promising applications in various fields. More systematic investigations are necessary to better understand the fundamental processes of pulsed DBD. In this study, the characteristics and the initial breakdown mechanism of atmospheric nanosecond-pulsed DBD are investigated. The Electric Field-Induced Second Harmonic (E-FISH) technique is employed to investigate the electric field within the discharge gap. Additionally, the effects of pulse amplitude and pulse repetition rate on discharge characteristics, particularly the electric field, are analyzed. The results indicate that an increase in pulse amplitude leads to higher breakdown currents and a more pronounced reverse electric field peak, whereas the pulse repetition rate has a minimal effect on discharge behavior. A two-dimensional fluid model is developed to simulate discharge dynamics and analyze the spatiotemporal evolution of particles. Based on both experimental and simulation results, the discharge process is characterized by three distinct stages: Stage I (discharge breakdown), Stage II (surface charge accumulation), and Stage III (surface charge neutralization). The breakdown mechanism is further elucidated by examining the role of residual charges near the dielectric layer, which enhance the local electric field and facilitate the generation of secondary electrons, leading to ionization and subsequent discharge establishment. © 2025 IEEE.

关键词： Dielectric barrier discharge

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A Classification and Recognition Model of Distributed Resources Based on Feature Extraction

A Classification and Recognition Model of Distributed Resour...

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Energy Technologies for Future Grids (ETFG), IEEE International Conference on

作者： Yu Zhu Le Yang Xizai Yang Jiaxin Lu Yuqing Wang Fei Wang Information and Communication Technology R & D Center State Grid Shaanxi Electric Power Co. Ltd. Information and Communication Company Xi’an China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

The extensive integration of distributed resources such as distributed photovoltaic system and electric vehicles enhances the uncertainty of the load side greatly. Corresponding demand response strategies can be developed for different distributed resource types and characteristics of households’ load, which is of great significance for new energy consumption and stable operation of the power system. However, only the net load power of households can be obtained through smart meters instead of the distributed resource types of households. Based on this, a distributed resource classification and identification model based on feature extraction is proposed in this paper, and effectively solves the problems of low accuracy and strong data dependence of existing recognition methods. Firstly, a generalized weather class generation algorithm based on clustering and voting is established, which is used to determine the weather class of each day to provide a basis for the following feature extraction. Then, based on the typical net load profiles under different generalized weather classes, a two-stage feature extraction and a classification identification model based on integrated learning algorithms are established to identify whether a user contains DPVS and EV, respectively. Finally, based on the category labels of each user for each stage, the final classification of the category to which the user belongs is carried out. Simulation experiments show that the recognition model built using the typical features extracted in the paper has good recognition accuracy.

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