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Renewable power Generation and Future power systems Conference 2023 (RPG 2023 UK)

作者： Y. Sun Y. Guo F. Fan J. Fan G. Li Z. Wang X. Wu Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin People's Republic of China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin People's Republic of China Department of Electronic and Electrical Engineering University of Strathclyde Glasgow UK State Grid Smart Grid Research Institute Beijing People's Republic of China

The modular multilevel converter-based high voltage direct current (MMC-HVDC) overhead lines transmission scheme is the preferred option for wind power integration, though it is susceptible to DC faults. To ensure the connection of a wind farm (WF) to the grid during DC faults, this paper proposes a coordinated control strategy for DC fault ride-through (FRT) based on the energy storage system configured inside the WF for wind power integration through a bipolar MMC-HVDC. In the case of an instantaneous DC fault, the non-fault pole is regulated to operate at full power state to maximise wind power transmission. The exceedance of available wind power outputs over the transmission capacity of the non-fault pole is then accurately allocated to the internal energy storage units (ESUs) of wind generators (WGs) in order to ensure the power balance of the system and reduce the state of charge variance of ESUs as soon as possible. In order to reduce the energy capacities of ESUs required to store the excessive wind power in the event of a permanent DC fault, the method of step-by-step removing WGs is adopted to ensure the system power remaining balanced when the internal ESUs of the disconnected WGs are out of operation. The model is developed and carried out on the PSCAD/EMTDC simulation platform to verify the effectiveness of the proposed control strategies.

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Mechanism of contact electrification-induced microscale breakdown between separating electrodes

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Physical Review Applied 2025年第5期23卷 054059-054059页

作者： Jiandong Chen Yangyang Fu Department of Electrical Engineering Tsinghua University Beijing 100084 China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing 100084 China Sichuan Energy Internet Research Institute Tsinghua University Sichuan 610213 China

Since the 1990s, there has been a debate on whether the contact electrification (CE)-induced discharge mode is continuous or intermittent, and the understanding of the relationship between the electrode potential and Paschen’s curve remains controversial. In the present work, we demonstrate CE-induced microscale breakdown between two separating metal electrodes without an external voltage source and successfully reveal that continuous and intermittent discharge modes can both be realized by adjusting the electrode separation velocity. The CE-induced initial charge, electrode separation velocity, and breakdown time delay are identified as key factors, and their combined effects explicitly determine the breakdown mode. Further, it is found that in continuous breakdown mode with a sufficiently high initial charge, the electrode potential versus gap distance exactly follows the modified Paschen’s curve, which incorporates the field emission regime. This discovery suggests that a microscale breakdown curve can be determined based on a single characterization of the separating electrode potential without the need to perform redundant repeated experiments. The results of this study elucidate microscale breakdown physics with moving electrodes and inform better control and optimization of microelectromechanical devices for applications including energy harvesters, microsensors, and detectors.

关键词： Electromechanical devices

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Simulation of Optimal Ratio Model of power system Energy Storage Capacity Based on Grey Clustering Algorithm

Simulation of Optimal Ratio Model of Power System Energy Sto...

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Networking, Informatics and Computing (ICNETIC), International Conference on

作者： Yi Lu Wuhao Huang Peng Qiu Wenchao Zhang Chao Ding Xu Cai State Grid Zhejiang Electric Power Co. LTD. Research Institute Hangzhou China Shaoxing Power Supply Company of State Grid Zhejiang Electric Power Company Shaoxing China Hangzhou Mobius Tech Co. Ltd Hangzhou China Department of Electrical Engineering School of Electronic Information and Electrical Engineering The key Laboratory of Control of Power Transmission and Conversion of Ministry of Education Shanghai Jiaotong University Shanghai China

Planning and matching the capacity of the energy storage system reasonably can not only meet the requirements of power supply reliability, but also effectively save the cost of the energy storage system, which has become one of the urgent problems to be studied in the wind-solar-storage combined power supply system. In this paper, the grey clustering algorithm is used to cluster and analyze the daily charging and discharging curves of the annual energy storage, and the typical set of charging and discharging curves is input into the energy storage capacity optimization model to determine the ratio scheme of the energy storage system. The simulation results show that the hourly output component of wind power fluctuates greatly, so the required energy storage system has enough capacity, but it only needs hourly charging and discharging speed, then the pumped storage power station can meet the requirements.

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Research of sub-synchronous oscillation theory and suppression method of distributed micro grid in wind farm 16

Research of sub-synchronous oscillation theory and suppressi...

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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Yu, Qingguang Liu, Yuming Li, Daxing Jiang, Zhicheng Long, Gaoxiang Li, Ang State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing China State Grid Jibei Electric Power Company Beijing China

ISBN: (纸本)9781839533914

It is imperative to adopt renewable energy as a new energy supply for human society. However, in the process of distributed energy connect to the grid, it is easy to generate sub-synchronous *** paper selects the wind farm as the research project, more than 20 wind farms were collected to the 500kV substation through 220kV lines. After boosting, they were connected to the Mengxi power Grid and the North China power Grid through the double-circuit line respectively. Among them, 40% and 45% is equipped respectively. Based on the RTDS and RSCAD technology, simulation model of the wind farm in Guyuan area was created, simulation under variable parameters was adopted to reappear Sub-synchronous Oscillation (SSO) problems of distributed micro grid. A set of SSO control system to suppress SSO was designed, and the effect of voltage gain and current gain at different frequencies were simulated. And the SSO control system was connected to RTDS to test the effective of the designed methods and control system. For the same reference signal, the gain range of the suppressor is effective for resonance suppression is the same at different resonant frequencies. The experimental verification has achieved good results. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Wind power

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MULTI-SCALE PERIODICITY RECOGNITION METHOD OF WIND SPEED BASED ON MORLET WAVELET WITH TIME-FREQUENCY FACTORS 10

MULTI-SCALE PERIODICITY RECOGNITION METHOD OF WIND SPEED BAS...

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10th Renewable power Generation Conference, RPG 2021

作者： Guo, Ziyi Han, Shuang Wang, Han Liu, Yongqian Yan, Jie Li, Li State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Changping District Beijing102206 China School of New Energy North China Electric Power University Changping District Beijing102206 China Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China

ISBN: (纸本)9781839536069

The volatility of wind speed poses great challenges to the planning and operation of the power system with new energy as the main component. The periodicity of wind speed is an important rule to characterize its fluctuation. However, there are few studies on the periodicity of wind speed, and have no quantitative index to evaluate it at present. To solve the above problems, two quantitative evaluation indexes, periodic intensity (PI) and relative periodic intensity (RPI), are proposed in this paper based on the Morlet wavelet. Furthermore, a time-frequency factor is added in the mother wavelet in order to adapt the periodicity analysis of wind speed which with high variability. The wind speed data of south Gobi, Mongolia is taken as examples to analyse the periodicity of wind speed at multiple time scales, including year, season and month. Then, the wind speed prediction accuracy in different time windows, traditional year time window and the calculated periodic time window, are compared to verify the validity and superiority of the proposed periodicity evaluation indexes. The results show that, the prediction accuracy is improved by 20.51% and 15.79% at two wind measurement points by using the periodic time window. © The Institution of engineering and Technology.

关键词： Wavelet analysis

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Joint Multi-stage Planning of Renewable Generation, HESS, and AESS for Deeply Decarbonizing power systems with High-penetration Renewables

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IEEE Transactions on Sustainable Energy 2024年

作者： Yu, Zhipeng Chi, Yingtian Lin, Jin Liu, Feng Li, Jiarong Song, Yonghua Ren, Zhengwei Lu, Chengcheng Ji, Mengbo Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing100087 China Tsinghua University Sichuan Energy Internet Research Institute Chengdu610213 China Harvard University Harvard John A. Paulson School of Engineering and Applied Sciences Cambridge United States University of Macau Department of Electrical and Computer Engineering Macau999078 China Tsinghua University Department of Electrical Engineering Beijing100087 China China Electric Power Planning & Engineering Institute National Electric Power Planning and Research Center Beijing100087 China Co. Ltd. Beijing100087 China Ordos City Hanxia Renewable Energy Co. Ltd. Ordos014300 China

The further decarbonization of power systems with high renewable energy penetration faces the problem of inter-day intermittence of renewable energy sources (RES) and the seasonal imbalance between RES and load demand, due to the limited regulation ability of conventional units such as thermal generation. Regular solutions based on battery energy storage system (BESS) are too costly to be practical. To address issues above, hydrogen energy storage system (HESS) and ammonia energy storage system (AESS) are introduced to gradually replace thermal generation. Specifically, first, HESS and AESS are incorporated into the multi-stage capacity expansion planning (MSCEP) model with carbon emission reduction constraints. Yearly data with hourly time resolution are utilized for each stage to accurately describe the intermittence of RES. Then, an improved column generation (CG) with Dantzig-Wolfe decomposition (DWD) embedded solution approach is used to efficiently solve the large-scale MSCEP model. Finally, a real-life system in China is studied. The results indicate that the proposed method can guarantee high power supply reliability (PSR) under different renewable energy penetration levels, avoiding the low PSR problem that may be caused by the existing typical scenario-based method (TSM) under high penetration (≥30%). Moreover, HESS and AESS are essential to reduce the cost of decarbonization. Especially under the goal of carbon neutrality, the contribution of HESS and AESS in reducing levelized cost of energy (LCOE) reaches 12.28% and 14.59%, respectively, leading to a levelized cost of carbon reduction (LCOCr) of 998 RMB/t. © 2010-2012 IEEE.

关键词： Hydrogen storage

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Planning of active power distribution network based on source-network-load collaborative optimization 16

Planning of active power distribution network based on sourc...

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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Jiang, Zhicheng Yu, Qingguang Li, Ang Xiong, Yufeng Long, Gaoxiang Liu, Yuming Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839533914

With the fast development of renewable energy generation, the randomness and volatility seriously threaten the stability of the power system. In order to improve the consumption rate of renewable energy and the economic benefit, the source-network-load collaborative optimization is put forward and widely used in the power system. And the active power distribution network which consists of the energy storage devices and flexible load is the best carrier to realize it. Based on the active power distribution network planning, this paper firstly designs an economic index covering construction cost and operation cost as the optimization objective. Then with the physical constraints consisting of the physical features of generation units, energy storage devices and flexible load, the source-network-load collaborative optimization model of active power distribution network is established. Finally, a case of city distribution network is presented to verify the effect of source-network-load collaborative optimization and the efficiency of the optimization model. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Optimization

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A fast algorithm for manipulation control process of distribution system planning solution

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Journal of Modern power systems and Clean Energy 2019年第6期7卷 1547-1558页

作者： Lin CHENG Yuxiang WAN Liting TIAN Fang ZHANG State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijingChina School of Electrical Engineering Beijing Jiaotong UniversityBeijingChina

Better flexibility and controllability have been introduced into distribution system with the development of new loads and *** a consequence,the connotations and tools for evaluating the planning solution need to be further *** paper proposes a fast algorithm to quantify steady-state voltages and load profiles in distribution system by simulating the manipulation control process of controllable resources,taking the efficiency and ease of use into *** this method,a complex distribution system is decoupled into several simple parts according to the ports of the DC ***,to achieve the qualified voltages and load profiles,the manipulation details of controllable resources are simulated following a certain control sequence in each ***,the analysis results of each part are matched and filtered to obtain a complete *** types of the most commonly controllable resources are considered in this *** effectiveness of the proposed method is demonstrated through a case study based on field data from an actual distribution system.

关键词： controllable resources Distribution system DC interlink Planning Manipulation control process

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Numerical simulation of surface discharge in oil paper insulation based on finite element method and cellular automata

Numerical simulation of surface discharge in oil paper insul...

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22nd International Symposium on High Voltage engineering (ISH 2021)

作者： J. Chen Y. Zhou Y. Zhang X. Huang L. Zhang State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing People's Republic of China

Surface discharge of oil paper insulation is one of the insulation defects in converter transformers. However, the mechanism of surface discharge in oil paper insulation remains unclear. A novel method of surface discharge in oil paper insulation based on finite element method (FEM) and cellular automata (CA) was proposed to study the mechanism and fractal characteristics. Firstly, the needle-plate electrode without normal component of electric field density was adopted as the geometric model, on which the unstructured triangular mesh generation was performed. Then, the FEM is applied to compute the distribution of potential, electric field and charge in the simulated field, which performed better than finite difference method (FDM) in accuracy and complexity of computation. Finally, the CA model was adopted to simulate the development of surface discharge with the electric field threshold. The results indicated that the numerical simulation model based on FEM-CA can simulate the dynamic process and fractal characteristics of surface discharge in oil paper insulation. According to the fractal dimension curve, the surface discharge can be obviously divided into three stages: inception, propagation and flashover. With the increase of applied voltage, the fractal dimension of surface discharge increases in inception stage, then decreases in propagation stage, and finally increases in flashover stage.

关键词： cellular automata electric fields electrodes finite difference methods finite element analysis flashover fractals mesh generation power transformer insulation surface discharges transformer oil

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Low-carbon generation expansion planning considering uncertainty of renewable energy at multi-time scales

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Global Energy Interconnection 2021年第3期4卷 261-272页

作者： Yuanze Mi Chunyang Liu Jinye Yang Hengxu Zhang Qiuwei Wu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University) Jinan 250061ShandongP.R.China Center for Electric Power and Energy Department of Electrical EngineeringTechnical University of DenmarkKgs.LyngbyDenmark

With the development of carbon electricity,achieving a low-carbon economy has become a prevailing and inevitable *** low-carbon expansion generation planning is critical for carbon emission mitigation and a lowcarbon *** this paper,a two-layer low-carbon expansion generation planning approach considering the uncertainty of renewable energy at multiple time scales is ***,renewable energy sequences considering the uncertainty in multiple time scales are generated based on the Copula function and the probability distribution of renewable ***,a two-layer generation planning model considering carbon trading and carbon capture technology is ***,the upper layer model optimizes the investment decision considering the uncertainty at a monthly scale,and the lower layer one optimizes the scheduling considering the peak shaving at an hourly scale and the flexibility at a 15-minute ***,the results of different influence factors on low-carbon generation expansion planning are compared in a provincial power grid,which demonstrate the effectiveness of the proposed model.

关键词： Renewable energy Multi-time scales Uncertainty Low-carbon Generation planning

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