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A Real-Time Charging and Discharging Scheduling Strategy for Large-Scale Electric Vehicles into Smart Grid Considering the Economic Benefits of Both Vehicle Owners and the Grid

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SSRN 2024年

作者： Wang, He Wang, Yao Bian, Jing Li, Guoqing Key Laboratory of Modern Power System Simulation and Control and New Green Electricity Technology The Ministry of Education Northeast Electric Power University Jilin132012 China

The flexible energy storage characteristics of Electric vehicles (EVs) make them an important target for grid demand response. However, in the context of integrating large-scale EVs into the grid, a significant challenge is to improve the accuracy of the guided charging and discharging (C&D) schedule for grid energy regulation while considering the economic implications for both EV owners and the grid. To address this problem, this paper proposes a bi-level real-time dispatch strategy based on an improved rolling horizon method (RHM). In the upper-level real-time pricing optimization strategy, the relation between electricity price and power grid energy regulation demand is established by introducing a fixed base elasticity coefficient. To solve a real-time price that can maximize the income of the grid, an algorithm process is designed to find the relationship between the real-time price and the load of to-be-scheduled-EVs (TSEVs). In the lower-level EV C&D load optimization strategy, an adaptive variable horizon scale (AVHS)-RHM is proposed to enhance the correction effect of the RHM. Additionally, the temporal scheduling constraint (TSC) of real-time dispatching is ensured through grouping and parallel computing. simulation results indicate that the proposed real-time dispatch strategy, compared to the commonly used time-of-use (TOU) pricing, reduces the maximum peak-valley load differences by 17.6% and the standard deviation by 6.9%. This effectively enhances the accuracy of EVs' participation in grid energy regulation and provides a viable solution to fully utilize EVs as part of flexible resources. © 2024, The Authors. All rights reserved.

关键词： Electric vehicles

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of Power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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2023 International Conference on Power system Technology, PowerCon 2023

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350300222

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples. © 2023 IEEE.

关键词： Frequency modulation

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An Intelligent simulation Result Validation Method Based on Variational Autoencoder 23rd

An Intelligent Simulation Result Validation Method Based on ...

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23rd Asia simulation Conference, AsiaSim 2024

作者： Yang, Fan Ma, Ping Li, Wei Tao, Chao Yang, Ming Zhang, Jianchao Cheng, Huichuan Control and Simulation Center Harbin Institute of Technology Harbin150080 China National Key Laboratory of Complex System Modeling and Simulation Harbin150080 China Chinese Aeroengine Research Institute Beijing101304 China

ISBN: (纸本)9789819772247

Validation for complex system simulation faces the challenges of a large amount of validation data, which comes in the form of extensive samples and prolonged time series. To address this issue, this paper proposes an intelligent simulation result validation method based on Variational Autoencoder (VAE), achieving model validation through intelligent feature extraction and feature consistency metrics. Initially, we present the overall validation framework, which consists of feature extraction and simulation result validation, and detail the steps of the validation process. Subsequently, the principles and procedures of the feature extraction and simulation result validation methods are thoroughly discussed. The feature extraction is achieved by learning the distribution parameters of the latent space using a VAE model. Feature differences across various aspects are measured by three distance metrics and are further converted into simulation credibility. Finally, the effectiveness and superiority of this method are demonstrated through a case study on validating a drone delivery model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Digital elevation model

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Clustering and Equivalent Modeling Method for Direct-Drive Wind Farms Based on Particle Swarm Neural Network 4

Clustering and Equivalent Modeling Method for Direct-Drive W...

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4th International Conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Tu, Liang Huang, Libin Guo, Haiping Hu, Binjiang Zhang, Jingyue Luo, Hui State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of DC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of 62% to 67% and reduces the steady-state error in fault current simulation by 0.8% to 1.9%. © 2024 IEEE.

关键词： Windmill

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Capacitor Voltage Balancing Strategy Based on Zero-Sequence Voltage Injection for Half-Wave Commutated Modular Multilevel Converter 10

Capacitor Voltage Balancing Strategy Based on Zero-Sequence ...

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10th IEEE International Power Electronics and Motion control Conference, IPEMC 2024 ECCE Asia

作者： Fu, Nan Liu, Bao Xu, Yunfei Zhu, Sitong Wang, Kui Li, Yongdong Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Changping Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang110000 China

ISBN: (纸本)9798350351330

Half-wave commutated modular multilevel converter (HWC-MMC) is suitable for high-voltage large-capacity AC-AC conversion, and an appropriate capacitor voltage balancing strategy is essential. This paper analyzes the condition of capacitor voltage balancing and proposes a capacitor voltage balancing strategy based on optimal zero-sequence voltage injection using the model predictive control. Finally, the simulation is carried out to verify the proposed strategy. © 2024 IEEE.

关键词： Model predictive control

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Fault Diagnosis Method for DC Distribution Networks Based on Semitensor Product Bayesian Networks

Fault Diagnosis Method for DC Distribution Networks Based on...

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International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)

作者： He Wang Shiqiang Li Huanan Yu Jing Bian Bo Wei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

As distributed generators and new loads spread, grid operations have grown more complex, transitioning from AC to hybrid AC/DC and pure DC distribution grids [1] .

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Robust control of Bidirectional Power Converter in an AC/DC Hybrid Microgrid Based on the H∞Tracking Problem 4

Robust Control of Bidirectional Power Converter in an AC/DC ...

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4th International Conference on Power and Energy Technology, ICPET 2022

作者： Guo, Tianyu Guo, Haiping Luo, Chao Miao, Lu Huang, Libin State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Electric Power Dispatching and Control Center of Guangdong Power Grid Guangzhou China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

The bidirectional power converter (BPC) in the ac/dc hybrid microgrid plays a vital role in maintaining the dynamic balance of power in the microgrid, achieving mutual support of power between the AC and the DC areas, and improving the power quality. In view of this, this paper proposes a robust control method for BPC in the ac/dc hybrid microgrid based on the H∞ tracking problem. First, based on the superposition theorem, the voltage control problem of the ac/dc hybrid microgrid is converted into a H∞ tracking problem for solution, and the robust controller is mathematically proved to exist stably. Then, the designed H∞ robust controller is reduced based on the principle of optimal Hankel norm approximation reduction. Finally, the simulation model is built based on the MATLAB/Simulink to verify the correctness and effectiveness of the proposed method. © 2022 IEEE.

关键词： Robust control

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A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers

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Energy and AI 2023年第4期14卷 221-237页

作者： Zhenglong Sun Ram Machlev Qianchao Wang Juri Belikov Yoash Levron Dmitry Baimel Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)JilinChina The Andrew and Erna Viterbi Faculty of Electrical&Computer Engineering Technion-Israel Institute of TechnologyHaifa 3200003Israel Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and EnvironmentSoutheast UniversityNanjing210096China Department of Software Science Tallinn University of TechnologyAkadeemia tee 15a12618 TallinnEstonia Department of Electrical and Electronics Engineering Sami Shamoon College of EngineeringBeer-Sheva84100Israel

In the last two decades,motor operation monitoring tools have become a necessity,and many studies focus on the detection and diagnosis of motor electrical ***,at present,a core obstacle that prevents the direct comparison of such classification techniques is the lack of a standard database that can be used as a *** view of this,we offer here a public experimental data-set that has beendesigned specifically for the comparison of synchronous motor electrical fault *** data-set comprises five types of motor electrical faults:open phase between inverter and motor;short circuit/leakage current between two phases;short circuit/leakage current in phase-to-neutral;rotor excitation voltage disconnection;and variation of rotor excitation *** addition,each fault has been recorded as a four-dimensional signal:three phase voltages;three phase currents;motor speed;and motor *** package includes two deep-learning reference classifiers that are based on a convolutional neural network(CNN)and long short term memory(LSTM).Due to the good performance of these classifiers,we suggest that they can be used by the community as benchmarks for the development of new and better motor electrical fault classification *** database and the reference classifiers are examined and insights regarding different combinations of features and lengths of recording points are *** developed code is available online,and is free to use.

关键词： Motor faults Synchronous motors Public data-set Classification Deep-learning CNN LSTM

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Formation of secondary inorganic aerosol in a frigid urban atmosphere

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Frontiers of Environmental Science & Engineering 2022年第2期16卷 39-50页

作者： Yuan Cheng Qinqin Yu Jiumeng Liu Youwen Sun Linlin Liang Zhenyu Du Guannan Geng Wanli Ma Hong Qi Qiang Zhang Kebin He State Key Laboratory of Urban Water Resource and Environment School of EnvironmentHarbin Institute of TechnologyHarbin 150090China Key Laboratory of Environmental Optics and Technology Anhui Institute of Optics and Fine MechanicsChinese Academy of SciencesHefei 230031China State Key Laboratory of Severe Weather&CMA Key Laboratory of Atmospheric Chemistry Chinese Academy of Meteorological SciencesBeijing 100081China National Research Center for Environmental Analysis and Measurement Environmental Development Center of the Ministry of Ecology and EnvironmentBeijing 100029China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Department of Earth System Science Tsinghua UniversityBeijing 100084China

Formation of secondary inorganic aerosol(SIA)was investigated during a six-month long heating season in Harbin,*** sulfate formation was observed at high relative humidity(RH),with the same threshold RH(80%)for both colder and warmer measurement *** to wintertime results from Beijing,the threshold RH was considerably higher in Harbin,whereas the RH-dependent enhancement of sulfur oxidation ratio(SOR)was less *** addition,the high RH events were rarely encountered,and for other periods,the SOR were typically as low as~***,the sulfate formation was considered inefficient in this *** excluding the several cases with high RH,both SOR and the nitrogen oxidation ratio(NOR)exhibited increasing trends as the temperature increased,with the increase of NOR being *** nitrate to sulfate ratio tended to increase with increasing temperature as *** on a semi-quantitative approach,this trend was attributed primarily to the temperature-dependent variations of precursors including SO_(2) and NO_(2).The influence of biomass burning emissions on SIA formation was also *** stronger impact of biomass burning,an enhancement in NOR was observed whereas SOR was largely *** different patterns were identified as the dominant driver of the larger nitrate to sulfate ratios measured at higher concentrations of fine particulate matter.

关键词： Haze Sulfate Nitrate Heterogeneous chemistry Biomass burning

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics 4

The Correlation Mechanism that Micro-Structure Parameters of...

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4th IEEE International Conference on Electrical Materials and Power Equipment, ICEMPE 2023

作者： Meng, Pengfei Guo, Jingke Zhao, Long Lu, Wenhao Liu, Zheng Li, Shan Zhou, Kai Hu, Jun Sichuan University College of Electrical Engineering Chengdu China State Grid Corporatio of China State Grid Linyi Power Supply Company Linyi China Extra High Voltage Power Transmission Company of Csg High Voltage Technology Department Guangzhou China Northwest Institute of Nuclear Technology State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Xi'an China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China

ISBN: (纸本)9798350334678

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters. © 2023 IEEE.

关键词： Microstructure

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