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arXiv 2021年

作者： Cai, Xin Xiao, Feng Wei, Bo Fang, Fang State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources The School of Control and Computer Engineering North China Electric Power University Beijing102206 China School of Electrical Engineering Xinjiang University Urumqi830047 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

In this paper, continuous-time noncooperative games in networks of double-integrator agents are explored. The existing methods require that agents communicate with their neighbors in real time. In this paper, we propose two discrete-time communication schemes based on the designed continuous-time strategy-updating rule for the efficient use of communication resources. First, the property of the designed continuous-time rule is analyzed to ensure that all agents’ strategies can converge to the Nash equilibrium. Then, we propose periodic and event-triggered communication schemes for the implementation of the designed rule with discrete-time communication. The rule in the periodic case is implemented synchronously and easily. The rule in the event-triggered case is executed asynchronously without Zeno behaviors. All agents in both cases can asymptotically reach to the Nash equilibrium by interacting with neighbors at discrete times. simulations are performed in networks of Cournot competition to illustrate the effectiveness of the proposed *** Codes 91A10, 93A14, 93A16, 93D50 Copyright © 2021, The Authors. All rights reserved.

关键词： Game theory

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Distributed strategy-updating rules for aggregative games of multi-integrator systems with coupled constraints

arXiv

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arXiv 2021年

作者： Cai, Xin Xiao, Feng Wei, Bo The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources The School of Control and Computer Engineering North China Electric Power University Beijing102206 China The School of Electrical Engineering Xinjiang University Urumqi830047 China The School of Control and Computer Engineering North China Electric Power University Beijing102206 China

In this paper, we explore aggregative games over networks of multi-integrator agents with coupled constraints. To reach the general Nash equilibrium of an aggregative game, a distributed strategy-updating rule is proposed by a combination of the coordination of Lagrange multipliers and the estimation of the aggregator. Each player has only access to partial-decision information and communicates with his neighbors in a weight-balanced digraph which characterizes players' preferences as to the values of information received from neighbors. We first consider networks of double-integrator agents and then focus on multi-integrator agents. The effectiveness of the proposed strategy-updating rules is demonstrated by analyzing the convergence of corresponding dynamical systems via the Lyapunov stability theory, singular perturbation theory and passive theory. Numerical examples are given to illustrate our *** Codes 91A99, 93A14, 93A16 Copyright © 2021, The Authors. All rights reserved.

关键词： Game theory

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High-Efficient Removal of Mercury in Water by the Flexible Nh2-Mil-53(Al): Exploiting The Gate Opening Effect

SSRN

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SSRN 2023年

作者： Jian, Meipeng Yang, Xiaoqin Huang, Congxin Tang, Chaochun Zhang, Xiwang Liu, Ruiping Li, Haiyan Beijing Energy Conservation & Sustainable Urban and Rural Development Provincial Ministry Co-construction Collaboration Innovation Center School of Environment and Energy Engineering Beijing University of Civil Engineering and Architecture Beijing100044 China Key Laboratory of Urban Stormwater System and Water Environment Ministry of Education Beijing University of Civil Engineering and Architecture Beijing100044 China School of Civil Engineering and Architecture East China JiaoTong University Jiangxi Nanchang330013 China Monash University Australia Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

Flexible metal-organic frameworks (MOFs) with the gate opening feature can optimize the removal efficiency on the adsorption behavior by accommodating to the specific target molecules. In this study, a flexible MOF denoted as NH2-MIL-53(Al) was investigated to remove Hg(II) from water, in which the adsorption capacities of large-pore NH2-MIL-53(Al) (NH2-MIL-53(Al)-LP) for Hg(II) reached 433.20 mg/g, which is about 4 times higher than narrow-pore NH2-MIL-53(Al) (112.75 mg/g). Further, the kinetic experiment also revealed that nearly 90% Hg(II) can be captured within 60 min for NH2-MIL-53(Al)-LP. Advanced characterizations and density functional theory calculations demonstrated that the strong coordination of the amino and oxygen centers on NH2-MIL-53(Al)-LP to Hg(II). Importantly, molecular dynamic simulation verified the gate opening effect of NH2-MIL-53(Al)-LP, as the faster diffusivity of Hg(II) ions in NH2-MIL-53(Al)-LP was observed. This work provides another opportunity in designing the pore geometry of porous materials for water remediation. © 2023, The Authors. All rights reserved.

关键词： Density functional theory

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Development of an Integrated Method (Gcms-Rf-Fa) for Predicting Wind Energy Resources Under Considering Climate Change Impact-A Case Study of Jing-Jin-Ji Region in China

SSRN

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SSRN 2022年

作者： Liu, Ying Li, Yongping Huang, G.H. Lv, Jing Zhai, Xiaobo Li, Yanfeng Zhou, Bingyi State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China Institute for Energy Environment and Sustainable Communities University of Regina ReginaSKS4S0A2 Canada Sino-Canada Energy and Environmental Research Center North China Electric Power University Beijing102206 China

In this study, a GCMs-RF-FA method is developed for long term wind energy resources prediction through incorporating multiple global climate models (GCMs), random forest (RF) and factorial analysis (FA) technologies into a framework. The method is capable of (i) dealing with the heterogeneity of structures and parameters in multiple GCMs (ii) addressing the nonlinear/discrete relationships and uncertainties between the variables and (iii) identifying the individual and interactive effects of main factors on wind prediction. Then the method is applied to Jing-Jin-Ji region for wind energy prediction under two representative emission scenarios (RCP4.5 and RCP8.5) for 80 years. Results reveal that (i) RF can effectively simulate the wind energy resources in Jing-Jin-Ji region with calibration R2 of 0.875, monthly R2 of 0.658 and yearly R2 of 0.705;(ii) the predictions of wind energy under RCP4.5 is lower than that under RCP8.5, and most differences are less than 1.0 W/m2;(iii) obvious seasonal differences in wind energy would occur, with high levels in winter and spring and low levels in autumn and summer;(iv) the development of wind energy resources in Beijing, Tianjin and Hebei in 2060 are expected to account for 17.8%, 11.6% and 46.1% of the total energy demand respectively. © 2022, The Authors. All rights reserved.

关键词： Climate models

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Fault diagnosis for PV arrays considering dust impact based on transformed graphical features of characteristic curves and convolutional neural network with CBAM modules

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Applied Energy 2024年 355卷

作者： Jiaqi Qu Qiang Sun Zheng Qian Lu Wei Hamidreza Zareipour School of Instrumentation and Optoelectronic Engineering Beihang University Beijing China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China School of Electronics and Information Engineering Beihang University Beijing China The Department of Electrical and Computer Engineering University of Calgary Calgary Canada

Various faults can occur during the operation of photovoltaic (PV) arrays, and both dust-affected operating conditions and various diode configurations complicate the faults. However, current methods for fault diagnosis based on I-V characteristic curves usually do not effectively use all the distinguishable information contained in the I-V curves or often rely on calibrating the field characteristic curves to standard test conditions (STC). It is difficult to apply these methods in practice and accurately identify multiple complex faults with similarities in different blocking diode configurations of PV arrays under the influence of dust. Therefore, a novel fault-diagnosis method for PV arrays that considers the impact of dust is proposed. In the pre-processing stage, the Isc-Voc normalized Gramian angular difference field (GADF) method is presented, which normalizes and transforms the resampled PV array characteristic curves from the field, including I-V and P-V, to obtain transformed graphical feature matrices. Subsequently, in the fault diagnosis stage, the convolutional neural network (CNN) model with convolutional block attention modules (CBAM) is designed to classify faults, which identifies complex fault types from the transformed graphical matrices containing complete discriminative fault information. In addition, the performances of different graphical feature transformation and CNN-based classification methods are compared using case studies. The results indicate that the developed method for PV arrays with different blocking diode configurations under various operating conditions has high fault diagnosis accuracy and reliability.

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Potential Evaluation of Distributed Energy Resources with Affine Arithmetic

Potential Evaluation of Distributed Energy Resources with Af...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cheng, Lin Qi, Ning Guo, Yanfei Liu, Nan Wei, Wei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China State Grid Beijing Daxing Power Supply company Beijing China

ISBN: (纸本)9781728135205

With the rapid development of Energy Internet, the penetration of distributed energy resources is gradually increasing. New methods for potential evaluation of DERs is becoming more and more important for planning, operation, and control. In this paper, the traditional affine arithmetic-based forward-backward power flow calculation method is introduced. Then, modified method is proposed mainly considers arithmetic correction, weekly looped structure, and different types of DG. Moreover, comprehensive potential evaluation structure for DERs is proposed based on affine arithmetic which involves three parts. Finally, through numerical analysis, the applicability and error of the affine arithmetic method are analyzed. © 2019 IEEE.

关键词： Internet of Energy

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Fast Monte Carlo simulation of Dynamic power systems Under Continuous Random Disturbances

Fast Monte Carlo Simulation of Dynamic Power Systems Under C...

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IEEE General Meeting power& Energy Society

作者： Yiwei Qiu Jin Lin Xiaoshuang Chen Feng Liu Yonghua Songy State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China The University of Macau Macau China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

Continuous-time random disturbances from the renewable generation pose a significant impact on power system dynamic behavior. In evaluating this impact, the disturbances must be considered as continuous-time random processes instead of random variables that do not vary with time to ensure accuracy. Monte Carlo simulation (MCs) is a nonintrusive method to evaluate such impact that can be performed on commercial power system simulation software and is easy for power utilities to use, but is computationally cumbersome. Fast samplings methods such as Latin hypercube sampling (LHS) have been introduced to speed up sampling random variables, but yet cannot be applied to sample continuous disturbances. To overcome this limitation, this paper proposes a fast MCs method that enables the LHS to speed up sampling continuous disturbances, which is based on the Itô process model of the disturbances and the approximation of the Itô process by functions of independent normal random variables. A case study of the IEEE 39-Bus system shows that the proposed method is 47.6 and 6.7 times faster to converge compared to the traditional MCs in evaluating the expectation and variance of the system dynamic response.

关键词： Monte Carlo methods Uncertainty system dynamics power system dynamics Hypercubes Software Random variables

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simulation Modeling and AC system Fault control Strategy for the Multi-terminal Hybrid HVDC system based on RTDS

Simulation Modeling and AC System Fault Control Strategy for...

引用

2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Lin, Xuehua Guo, Qi Guo, Haiping Huang, Libin Chen, Qinlei Li, Shuyong Electric Power Research Institute State Key Laboratory of HVDC China Southern Power Grid Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China

ISBN: (纸本)9781728149301

A multi-terminal hybrid HVDC transmission system, with LCC station in the rectifier and MMC station in the inverter, integrates the advantages of LCC and MMC technology, and it overcomes the commutation failure problem in the inverter. The application includes power supply to weak AC system, passive load, islands and so on. It shows widely application prospect in the field of large capacity, high voltage and long distance HVDC transmission in the future. In this paper, firstly, the mathematical model for a multi-terminal hybrid HVDC transmission system is studied deeply, and its real time simulation system is established in RTDS. Then, a DC voltage margin control strategy for LCC in rectifier, and a transient AC voltage regulation strategy for MMC in inverter is put forward for dealing the AC system fault. The simulation results in RTDS show the control strategy is effective, and the DC voltage and transmission power recovery quickly after AC system series fault. The proposed control strategy is significant for the safety and reliability for the multi-terminal hybrid HVDC. © 2019 IEEE.

关键词： Electric inverters

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Distributionally Multi-level Co-optimization Dispatch Considering Primary and Secondary Frequency Regulation

Distributionally Multi-level Co-optimization Dispatch Consid...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Ji, Xingquan Zhang, Yumin Ye, Pingfeng Han, Xueshan Xu, Bo Yin, Ziyang Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Energy Research Institute Co. Beijing China

ISBN: (纸本)9781728143033

Distributed energy resource (DER) including wind power, solar energy and energy storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes the distribution network have interaction. As a bridge connecting the transmission grid (TG) and micro grid (MG), ADN breaks the traditional operation pattern of TG+ADN+MG. Considering the physical connections and shared information among TG, ADN and MG, this paper proposes a decentralized and parallel analytical target cascading (ATC) algorithm for TG+ADN+MG multi-level co-optimization dispatch considering primary and secondary frequency regulation. To explore the synergistic ability of the TG+ADN+MG coping with uncertainties of DER, i.e., wind power, the primary and secondary frequency regulation of TG are implemented to cope with uncertainties. Furthermore, the distributional uncertainties of wind power and load are well modeled by data driven, which is proposed in our previous work [1]. An improved 6-bus system is used to test the proposed model, the numerical results illustrate the effectiveness and efficiency of the proposed method. © 2020 IEEE.

关键词： Wind power

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Effect of UV radiation aging on creepage discharge characteristics of high temperature vulcanized silicon rubber at high altitude

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Plasma Science and Technology 2019年第5期21卷 23-33页

作者： Fubao JIN Yuanxiang ZHOU Bin LIANG Xidong LIANG Zhongliu ZHOU Ling ZHANG Key Laboratory of Plateau Ecology and Agriculture College of Agriculture and Animal HusbandrySchool of Water Resources and Electric PowerQinghai UniversityXining 800016People's Republic of China State Key Lab of Control and Simulation of Power Systems and Gen eration Equipments Departme nl of Electrical EngineeringTsinghua UniversityBeijing 100084People's Republic of China

The physicochemical properties and creepage discharge characteristics of aged high temperature Vulca nized(HTV)silicone rubber materials were investigated by ultraviolet radiati on(UV)aging method in this *** experimental results show that as the aging time increases,the creepage discharge flashover voltage increases first and then *** the aging time has little effect on the creepage discharge inception *** the aging time prolonged,the discharge endurance time of HTV silicone rubber is shortened,and the creepage discharge development velocity is *** the short time of applying voltage to aging material,the magnitude of discharge in creases *** to the partial discharge characteristic parameters of creepage discharge,the whole creepage discharge process is partitioned into four *** with unaged HTV silicone rubber,the aged HTV silicone rubber has less fluctuation in performance parameters and a clear *** study found that UV aging not only affects the physicochemical and hydrophobic properties of the HTV silicone rubber,but also accelerates the development of creepage discharge under AC voltage.

关键词： high temperature vulcanized silicone rubber creepage discharge UV aging inception voltage flashover voltage high altitude characteristic parameters

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