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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Mengqi Zhao Puyu Wang Tianming Gu Dejian Yang Gangui Yan Fang Shi School of Automation Nanjing University of Science and Technology Nanjing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

The charge-discharge between distributed generations and electric vehicles (EVs) will be an important component of the future development of EVs. In this paper, the optimal configuration ratio (CR) of grid-following/forming (GFL/GFM) control for high-penetration renewable energy integrated system containing EV is investigated: (1) The mathematical models for the grid-connected inverter and GFL/GFM control are elaborated, and five simulation cases with different CRs [CR: (100%, 75%, 50%, 25%, 0%)] are simulated in PSCAD/EMTDC. (2) The optimal CR is obtained through the comparative analysis of simulation results of different CRs under load disturbance /single phase-to-ground fault/island operation mode with corresponding evaluation indicators.

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IES Load Forecasting Considering Multifaceted Load Coupling Characteristics

IES Load Forecasting Considering Multifaceted Load Coupling ...

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Energy, Electrical and Power Engineering (CEEPE), International Conference on

作者： Xinnan Yu Yunjing Liu Rao Fu Yuxuan Zeng Jinxin Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China State Grid Jilin Electric Power Co. Ltd. Jilin China

ISBN: (数字)9798350375794

ISBN: (纸本)9798350375800

The Integrated Energy system (IES) multifaceted load forecasting technology is a critical foundation for ensuring the balance and stable operation of the system supply and demand. Due to the complex coupling relationships among various loads, this paper constructs a regional IES multifaceted load forecasting model based on the Grey Relation Analysis (GRA) method and the Bi-directional Long Short-Term Memory (BI-LSTM) neural network to delve into the coupling characteristics between electric, thermal, and cooling loads. Firstly, the Grey Relation Analysis is employed to analyze the correlation of multifaceted loads, determining the prediction priority of multifaceted loads in the integrated energy system. Secondly, based on the exploration of coupling characteristics among multifaceted loads, the k-means clustering algorithm is applied to partition loads with the highest priority into sets with similar fluctuations. Finally, for each load scenario set, a hierarchical prediction strategy is implemented using the BI-LSTM network for scenario set prediction modeling. Case study results indicate that the proposed forecasting model exhibits high prediction accuracy and effectively handles the intense fluctuations in loads, meeting the operational requirements for the system's safety and stability.

关键词： Couplings Fluctuations Supply and demand Load forecasting Predictive models Stability analysis Thermal analysis

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Chemical characteristics and sources of water-soluble organic aerosol in southwest suburb of Beijing

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Journal of Environmental Sciences 2020年第9期32卷 99-110页

作者： Ruolan Hu Qingcheng Xu Shuxiao Wang Yang Hua Noshan Bhattarai Jingkun Jiang Yu Song Kaspar R.Daellenbach Lu Qi Andre S.H.Prevot Jiming Hao State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control Department of Environmental SciencePeking UniversityBeijing 100871China Laboratory of Atmospheric Chemistry Paul Scherrer Institute5232 VilligenSwitzerland Institute for Atmospheric and Earth System Research University of HelsinkiFinland

PM2.5 filter sampling and components measurement were conducted in autumn and winter from 2014 to 2015 at a suburban site(referred herein as "LLH site") located in the southwest of *** offline aerosol mass spectrometry(offline-AMS) analysis and positive matrix factorization(PMF) were applied for measurement and source apportionment of watersoluble organic aerosol(WSOA).Organic aerosol(OA) always dominated PM2.5 during the sampling period,especially in *** pollution was serious during the polluted period both in autumn(31.1 μg/m3) and winter(31.9 μg/m3),while WSOA accounted for 54.4%of OA during the polluted period in autumn,much more than that(21.3%) in *** oxidation degree of WSOA at LLH site was at a high level(oxygen-to-carbon ratio,O/C=0.91)and secondary organic aerosol(SOA) contributed more mass ratio of WSOA than primary organic aerosol(POA) during the whole observation *** winter,coal combustion OA(CCOA) was a stable source of OA and on average accounted for 25.1% of *** autumn,biomass burning OA(BBOA) from household combustion contributed 38.3% of WSOA during polluted *** addition to oxygenated OA(OOA),aqueous-oxygenated OA(aq-OOA) was identified as an important factor of *** heavy pollution period,the mass proportion of aq-OOA to WSOA increased significantly,implying the significant SOA formation through aqueous-phase *** result of this study highlights the concentration on controlling the residential coal and biomass burning,as well as the research needs on aqueous chemistry in OA formation.

关键词： pollution aerosol winter

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Data-driven Transient Stability Assessment Model Considering Network Topology Changes via Mahalanobis Kernel Regression and Ensemble Learning

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Journal of Modern Power systems and Clean Energy 2020年第6期8卷 1080-1091页

作者： Xianzhuang Liu Xiaohua Zhang Lei Chen Fei Xu Changyou Feng State Grid Corporation of China State Grid Jibei Electric Power Company the State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical EngineeringTsinghua University

Transient stability assessment(TSA)is of great importance in power system operation and *** of the usual tasks in TSA is to estimate the critical clearing time(CCT)of a given fault under the given network topology and pre-fault power ***-driven methods try to obtain models describing the mapping between these factors and the CCT from a large number of ***,the influence of network topology on CCT is hard to be analyzed and is often ignored,which makes the models inaccurate and *** this paper,a novel data-driven TSA model combining Mahalanobis kernel regression and ensemble learning is proposed to deal with the *** model is a weighted sum of several *** sub-model only uses the data of one topology to construct a kernel *** weights are determined by both the topological similarity and numerical similarity between the *** similarities are decided by the parameters in Mahalanobis distance,and the parameters are to be *** reduce the model complexity,sub-models within the same topology category share the same *** estimating CCT,the model uses not only the sub-model which the sample topology belongs to,but also other ***,it avoids the problem that there may be too few data under some *** also efficiently utilizes information of data under all the ***,its decision-making process is clear and understandable,and an effective training algorithm is also *** results on both the IEEE 10-machine 39-bus and a real system verify the effectiveness of the proposed model.

关键词： Transient stability assessment critical clearing time network topology change Mahalanobis kernel regression ensemble learning data-driven

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Day-Ahead Reporting Strategy of a Wind Power Plant Based on CEEMDAN-IPSO-LSTM

Day-Ahead Reporting Strategy of a Wind Power Plant Based on ...

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

作者： Dong Lv Yuan Wang Fei Xu Bing Zhang Hongye Wang Li He Hui Zhu Junhui Li China Three Gorges Renewables(Group) Co. Ltd Beijing China State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Tsinghua University Beijing China

In the new power system, the output of new energy power stations has strong volatility, which leads to huge deviation assessment expenditure. Therefore, based on the improved data preprocessing algorithm and deep learning algorithm, a day-ahead reporting strategy of wind power plants considering error prediction characteristics is proposed. Firstly, considering the historical real output and prediction error, the historical data is decomposed based on the complete noise-assisted ensemble empirical mode decomposition algorithm (CEEMDAN). Then, the components are introduced into the long short-term memory (LSTM) optimized by the improved particle swarm optimization algorithm (IPSO), and the components are reconstructed to obtain the original prediction curve and the error prediction curve. Finally, the empirical distribution function is used to revise the prediction error curve, and the original prediction curve and the error prediction curve are superimposed to obtain the final day-ahead report curve. The correctness and feasibility of the reporting strategy are verified by simulation analysis.

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A New Energy Power Grid Expansion Planning Technology Considering Optimal Economy 3

A New Energy Power Grid Expansion Planning Technology Consid...

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3rd International Conference on Green Energy, Environment and Sustainable Development, GEESD 2022

作者： Song, Xinfu Xin, Chaoshan Yu, Jin Yu, Zhiyong Shen, Danhua Ma, Junliang State Grid Xinjiang Electric and Technological Research Institute Xinjiang Wulumuqi830000 China Beijing Guantao Law Firm Beijing China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin Jilin132012 China

ISBN: (纸本)9781643683126

This paper examines the path of new energy development in China against the backdrop of carbon maximum and carbon neutralization, and studies the risk of large scale new energy power transmission. In order to solve the complex uncertainty challenges of renewables power and power grid expansion planning, this paper studies and proposes an optimal economic planning model, which includes the thermal power generation start-up and shutdown expenses during the operation, the hydro power generation expenses of surplus water of reservoir, and the curtail penalty cost of new energy output power, the investment of new planning lines. The model has also considered the constraints of balance for power generation and load consumption, the power change rate, and operation, which are calculated based on the time-series operation simulation of new energy power system. Based on the functions, the process of power grid planning technology has been proposed. The planning model proposed in this paper can consider the new energy power characteristics of generation, realize the optimal planning of different power grid schemes. According to the case study findings, the new transmission line can relieve the pressure of local new energy transmission, while also improving power flow distribution as well as the rate of new energy utilization. © 2022 The authors and IOS Press.

关键词： Expansion

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Coordinated Suppression Method of Fault Current for Dc Grid with a Novel Dissipative Resistors Topology

SSRN

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SSRN 2022年

作者： Jiang, Shouqi Zhao, Huanyu Li, Guoqing Xin, Yechun Wang, Lixin Wang, Weiru The Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University China

DC grid based on half-bridge modular multilevel converters (HB-MMC) is a feasible means to realize the friendly grid connection of renewable energy. To solve the problems such as high cost and technical difficulty of DC circuit breaker (DCCB), a coordinated control method for fault current suppression of DC grid connecting wind power is proposed. The key influencing factors of DC fault current are revealed by fault characteristics analysis, and an adaptive current-limiting control method for MMC is proposed, whose parameter selection principles are designed to ensure the safe operation of equipment while achieving effective suppression of fault current. In addition, a novel configuration method of dissipative resistors with the current-limiting function is proposed, which can solve the problem of surplus power in DC grid and reduce the current stress of converter valves. Based on this, a coordination scheme of dissipative resistors, the adaptive current-limiting control method, and DCCBs is proposed to block fault current, which can effectively reduce the manufacturing difficulty and cost of DCCB. Finally, a four-terminal DC grid simulation model is built based on the RTLAB OP5600 real-time digital simulation platform, and the effectiveness and feasibility of the proposed methods are verified. © 2022, The Authors. All rights reserved.

关键词： Resistors

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Designing and Implementing Communication-efficient Model of Distributed system for Real-time Electromagnetic Transient simulation

Designing and Implementing Communication-efficient Model of ...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Qi Guo Binjiang Hu Zeqi Hong Yanjun Zhao Shuyong Li Liang Tu State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid China Southern Power Grid Co. Ltd

ISBN: (数字)9798350381993

ISBN: (纸本)9798350382006

This paper introduces CM-RETS, a 4-Level address Communication Model designed specifically for real-time simulation of electromagnetic transients in power systems. CM-RETS incorporates a unique 4-Level address scheme and leverages Remote Direct Memory Access (RDMA) technology to enable efficient and reliable data exchanges between computing nodes in a distributed system. By effectively distributing computational load, CM-RETS facilitates faster and more realistic simulations, ensuring precise and timely data exchanges within a 5μs time step to capture transients in real time. Experimental results validate the effectiveness and efficiency of CM-RETS in achieving accurate and real-time simulations of electromagnetic transients. With its robust and cost-effective solution, CM-RETS provides researchers and engineers with the means to perform detailed analysis and studies on power systems under various transient conditions.

关键词： Computational modeling Memory management Real-time systems Data models Power system reliability Reliability Security

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control and Stability of Large-scale Power system with Highly Distributed Renewable Energy Generation:Viewpoints from Six Aspects

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CSEE Journal of Power and Energy systems 2023年第1期9卷 8-14页

作者： Qing-Hua Wu Anjan Bose Chanan Singh Joe H.Chow Gang Mu Yuanzhang Sun Zhaoxi Liu Zhigang Li Yang Liu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China School of Electrical Engineering&Computer Science Washington State UniversityPullmanWA 99164USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843USA Department of Electrical Computer and Systems EngineeringRensselaer Polytechnic Institute(RPI)TroyNYUSA Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China

Power systems are moving toward a low-carbon or carbon-neutral future where high penetration of renewables is *** conventional fossil-fueled synchronous generators in the transmission network being replaced by renewable energy generation which is highly distributed across the entire grid,new challenges are emerging to the control and stability of large-scale power *** analysis and control methods are needed for power systems to cope with the ongoing *** the CSEE JPES forum,six leading experts were invited to deliver keynote speeches,and the participating researchers and professionals had extensive exchanges and discussions on the control and stability of power ***,potential changes and challenges of power systems with high penetration of renewable energy generation were introduced and explained,and advanced control methods were proposed and analyzed for the transient stability enhancement of power grids.

关键词： Distributed energy resources high converter penetration power system control renewable energy generation stability control transient stability

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Research on a New Integrated Device for Remote control of Power Cable Testing and Cutting

Research on a New Integrated Device for Remote Control of Po...

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2024 Boao New Power system International Forum - Power system and New Energy Technology Innovation Forum, NPSIF 2024

作者： Cao, Kangyangyong Xing, Hongquan Zhang, Yilin Xue, Chuan Li, Feiyi Gao, Ziyang State Grid Changchun Power Supply Company Changdian Group Cable Engineering Branch Jilin Changchun130000 China State Grid Changchun Power Supply Company Operation Maintenance Department Jilin Changchun130000 China Northeast Electric Power University Engineering Training and Teaching Center Jilin Jilin132011 China Jilin Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132011 China

ISBN: (纸本)9798331504557

With the continuous improvement and development of urban power grid structures, it is inevitable that cable lines will need to be renovated and replaced. In the process of cable construction, the traditional cable cutting process involves independent operations, requiring a large amount of equipment and occupying a large area. Workers need to wear protective clothing when cutting, which is inflexible and inefficient. This approach is no longer adequate for the diverse and complex construction sites of today. To this end, a new type of integrated power cable cutting device is specially designed and developed, which combines testing and cutting, reducing the use of cable cutting tools. The newly developed circuit cutter is designed with features such as compact size, high structural strength, good cutting effect, strong adaptability, and remote control function. It can significantly improve the safety and convenience of cable cutting operations, which is of positive significance for improving construction quality and efficiency and ensuring the personal safety of operators. © 2024 IEEE.

关键词： Remote control

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