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IEEE Green energy and systems Conference (IGESC)

作者： Ratha Taing Xiaocong Li Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning China

This paper addresses the AC low voltage distribution system by proposing the optimal topology in a remote village for 25 years of planning. The minimum distance algorithm is employed to find the nearest loads to electric poles with the given coordinates. Then, those loads and the closest electric pole are assigned as a cluster. Next, the minimum-spanning-tree (MST) is used to define the shortest connection of clusters. After that, phase ABC repeated is used to balance the three phases system. Thereafter, the load flow is performed with respect to the constraint. Thus, the conductor size is defined. Finally, the cost of the distribution system (CAPEX, OPEX, and TOTEX) is calculated. The result shows that the proposed algorithm has energy losses that are lower than the overall energy losses of the system.

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Analysis of stochastic mutation in the evolution of bidding behavior for power generation enterprises

TechRxiv

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TechRxiv 2023年

作者： Mo, Jun Ren, Xiwang Yang, Hui The Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning530004 China

In the bidding process in the power generation market, enterprises often exhibit speculative behaviors due to the loopholes in bidding rules. To explore the evolution of power generation enterprises from a benign bidding state to a speculative bidding state, an evolutionary game model is established. Based on the replicator dynamics equation, an evolutionary game model of a power generation market containing multiple power generation enterprise groups with different bidding strategies is constructed by introducing the relationship factors of the strategies. Then, to analyze the internal mechanism of the outbreak of speculative behavior, the replicator dynamics equation is transformed into a classical sharp point mutation model. On this basis, Gaussian white noise is introduced to construct the stochastic catastrophe model. The influence of the random disturbance term on the stability of the bidding behavior of enterprises is discussed from the perspective of the trajectory difference between the analytical solution and the numerical solution of the stochastic differential equation. The results show that the final decision state of the group strategy and the convergence time of group evolution to this state depend on the value of the strategy relationship factor. The emergence of random disturbances will lead to heterogeneous decision-making actions within the group. That is, the evolution of the group will fluctuate near the strategic equilibrium point. The difference between the analytical solution and the numerical solution of the stochastic catastrophe model can increase the possibility of a sudden change in the bidding strategy state and thereby decrease the stability of the bidding behavior. © 2023, CC BY.

关键词： Decision making

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Short-Term Reactive Load Forecasting Based on a Hybrid Machine Learning Model

Short-Term Reactive Load Forecasting Based on a Hybrid Machi...

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2022 power system and Green energy Conference, PSGEC 2022

作者： Qi, Le Chen, Mingyuan Song, Jifeng Zhang, Minyu Zheng, Wenbin Shang, Qinghua Power Dispatching Control Center of Guangxi Power Grid Co. Ltd Nanning China Guangxi University Key Laboratory of Guangxi Electric Power System Optimization and Energy-Savig Technology Nanning China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

With the improvement of people's living standards and the access to new energy sources such as rooftop photovoltaics, the variety of electricity consumption on the customer side has increased dramatically, placing high demands on the reactive power compensation configuration, regulation, and control capabilities at all levels of the distribution network. Predicting reactive loads directly impacts the quality of power supply and is also an integral part of reactive power optimization in the grid. With the popularity of smart energy measurement devices, large-scale historical reactive load data is uploaded to the dispatch control system. This paper proposes a hybrid reactive load prediction model based on a machine learning framework. Appropriate error parameters are selected, and the model is compared with a traditional time series prediction model to verify that the model can achieve better prediction results. © 2022 IEEE.

关键词： Machine learning

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A finite element model of partial discharge in solid medium

A finite element model of partial discharge in solid medium

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2021 International Conference on energy, power and Electrical Engineering, EPEE 2021

作者： Wang, Wenqiang Shi, Zhen Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning530004 China

The mechanism of partial discharge(PD) is the theoretical basis of the PD detection, insulation monitoring and risk assessment. The finite element analysis of partial discharge is an effective measure to study the characteristics of PD. In this work, a physical model of PD of a gas gap in solid dielectric using finite element analysis (FEA) method has been developed to determine the relationship between the inception electric field with different applied stresses, the cavity diameter and air pressure has been considered as the physical parameters that affect PD characteristics. The change of potential distribution before and after the discharge and the field strength during the discharge are analyzed. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Partial discharges

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Asymmetrically coordinated single-atom iron nanozymes with Fe-N_(1)C_(2)structure:A peroxidase mimetic for melatonin detection

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Nano Research 2023年第4期16卷 4751-4757页

作者： Lihong Lin Heng Li Hongfei Gu Zhiyi Sun Juan Huang Zhenni Qian Hang Li Juzhe Liu Hongyan Xi Pengfei Wu Qingqing Liu Shuhu Liu Lirong Zheng Zhuo Chen Zhengbo Chen Juanjuan Qi Energy&Catalysis Center School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Department of Chemistry Capital Normal UniversityBeijing 100081China The Key Laboratory of Resources and Environmental System Optimization Ministry of Education(MOE)College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China School of Chemistry Beihang UniversityBeijing 100191China Institute of High Energy Physics Chinese Academy of ScienceBeijing 100049China

Owing to the unique coordination environment and high atom utilization efficiency,single atom catalysts have been considered as an ideal artificial enzyme to mimic natural ***,single-atom Fe nanozyme anchored on N-doped Ti_(3)C_(2)Tx(Fe SA/N-Ti_(3)C_(2)Tx)with asymmetrically coordinated Fe-N_(1)C_(2)configuration is synthesized by vacancy capture and heteroatom doping strategy,which exhibits excellent peroxidase-like *** on the results of peroxidase catalytic kinetics and X-ray adsorption fine spectroscopy,the Fe-N_(1)C_(2)active sites in Fe SA/N-Ti_(3)C_(2)Tx are responsible for the excellent ***,the developed Fe SA/N-Ti_(3)C_(2)Tx can be employed to quantitative detection of melatonin(MT),which shows a wide linear detection range(0.01-100μM)and an excellent detection limit(7.3 nM)in buffer,0.01-100μM and 7.8 nM in serum *** work proves that MXene-based single atoms can be promising nanozyme in the field of bioassays.

关键词： iron single atom asymmetric coordination Ti_(3)C_(2)Tx MXene nanozyme melatonin detection

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Design and Research of Distributed Data Acquisition system for Small Waste Incineration power Plant 6

Design and Research of Distributed Data Acquisition System f...

引用

6th International Conference on power and Renewable energy, ICPRE 2021

作者： Feng, Zhicong Zhu, Yun Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi Nanning China

ISBN: (纸本)9781665449618

Aiming at the characteristics of small waste incineration power plants, a distributed data acquisition system based on SOA (Service-Oriented Architecture) is proposed, which decomposes various business function units in the form of services, so that different business function units of the system are loosely coupled and easy to expand. Adopting a protocol analysis method based on the event inquiry response mechanism, the data acquisition subsystem is developed to realize the data acquisition and transmission based on the Modbus communication protocol. The system data service, human-computer interaction subsystem and database are developed to realize the data visualization, completed the design and development of the entire system. © 2021 IEEE.

关键词： Data acquisition

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Recent Advances of Monolithic All-Perovskite Tandem Solar Cells:From Materials to Devices

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Chinese Journal of Chemistry 2022年第7期40卷 856-871页

作者： Shan Jiang Yiming Bai Zongwen Ma Shengli Jin Chao Zou Zhao'ao Tan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power UniversityBeijing 102206China Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical TechnologyBeijing 100029China Key Laboratory of Solar Energy Utilization&Energy Saving Technology of Zhejiang Province Zhejiang Energy Group R&D Institute Co.Ltd.HangzhouZhejiang 311121China College of Chemistry and Materials Engineering Wenzhou UniversityWenzhouZhejiang 325027China

Organic-inorganic metal-halide perovskite solar cells(PerSCs)have achieved significant progresses due to their outstanding optoelectronic charac-teristics,and the power conversion efficiency(PCE)of single-junction PerSCs has been boosted from 3.8%to a certified 25.2%.However,the efficien-cy of single-junction cells is governed by the Shockley-Queisser(S-Q)radiative limit,and fabricating all-perovskite tandem solar cells is a particularly attractive method to break the S-Q *** the bandgap of lead(Pb)-based mixed halide perovskite can be tuned from 1.55 eV to 2.3 eV,and the mixed tin(Sn)-Pb perovskites have bandgap of~1.2 eV,these perovskites become the best candidates for the front and rear subcells of all-perovskite tandem device,*** this review,we firstly summarize the current development progresses of two-terminal(2-T)all-perovskite tandem so-lar *** further optimizing the device performance,the wide bandgap mixed halide perovskites for front subcell,mixed Sn-Pb narrow bandgap perovskites for rear subcell,and the interconnection layer(ICL)of 2-T tandem device are then *** review aims to open a pathway to real-ize highly efficient all-perovskite tandem solar cells.

关键词： Perovskite phase Tandem solar cells Interconnection layer energy conversion Complementary absorption

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Fault Line Selection Method for Resonant Grounding system Based on Generalized Correlation Coefficient and energy Measure

Fault Line Selection Method for Resonant Grounding System Ba...

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2023 International Conference on power system technology, powerCon 2023

作者： Yuanyang, Xia Xiaocong, Li Yuan, Liu Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Nanning China Intelligent Manufacturing College Nanning University Nanning China Yalong River Hydropower Development Co. Ltd. Marketing Department Chengdu China

ISBN: (纸本)9798350300222

The signal components of single-phase grounding current in resonant grounding system contain rich fault characteristic information and are difficult to be fully utilized. A method for line selection using transient fault feature information is proposed. This method achieves information mining through spatiotemporal transformation, expands observation channels, and provides sufficient fault feature information. Adopting blind source separation algorithm to obtain and amplify fault signal features, eliminating compensation effects caused by component reversal. In addition, the concept of generalized correlation coefficient was proposed, and a line selection method based on line energy factor was first proposed. Both simulation calculation and field data-based experiments verify that the method can be applied to fault line selection of grounding system under complex fault conditions of multi type feeders, and accurate and reliable line selection results can be obtained. © 2023 IEEE.

关键词： Blind source separation

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Baseline-Load-Calculation-Based Demand Response with Multiple Uncertainties

SSRN

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SSRN 2024年

作者： Liu, Hui Tian, Jiarui Li, Yuhang Ma, Siyu Chen, Zhixun School of Electrical Engineering Guangxi University Nanning530004 China Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi University Nanning530004 China

HIGHLIGHTS● A CCBL-based DR optimization model is proposed to improve the efficiency of DR.● Customer features and multi-uncertainties-based CCB model is built to correct the CBL.● The CCB-CBL coupling is designed to promote a precise CBL calculation framework.● A real-time sub-track incentives DR mechanism is proposed based on CCBL. © 2024, The Authors. All rights reserved.

关键词： Sales

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Prediction the Thermal of Compression Dead-end and Jumper Terminal for Electrical Equipment Based on High Voltage Transmission Lines, Case Study of Electricity Du Cambodia (EDC) 4

Prediction the Thermal of Compression Dead-end and Jumper Te...

引用

4th IEEE Eurasia Conference on IoT, Communication and Engineering, ECICE 2022

作者： Suos, Singhen Cong, Lixiao Guangxi University Guangxi Key Laboratory of Power System Optimization and Energy Technology Guangxi Zhuang Autonomous Region Nanning China Intelligent Manufacturing College Nanning University Guangxi Zhuang Autonomous Region Nanning China

ISBN: (纸本)9781665482080

The high voltage overhead transmission line system is one of the methods of delivering electric power at a high voltage of Electricity Du Cambodia (EDC) is the largest company in Cambodia's location, which transmitted from one source to another distribution, especially over a long distance to the customers. In an electrical power system, compression dead end and jumper terminal is one of the most important pieces of equipment and play important roles in the transmission system high voltage as well. Moreover, a bad or loose connection can be made a hot spot for generating the thermal that affecting for transmitting power, for the survey thermal energy of electrical equipment that they can to observed and quantified as thermography by applying infrared imaging and measuring the camera techniques. This method of detecting heat output is known as infrared thermography (IRT). Infrared thermography is not only a cost-effective technology but also powerful diagnostic equipment for improving system efficiency and dependability, power quality, and worker safety, and preventing outages, expensive equipment failure, and line losses. Using the Neural Network (NN) in the comparison to the Linear Regression (LR) model. This paper regarded schedule working actual base on the history of transmission line reports of using IRT which was noted by EDC, and the input parameters were the weather factors, wind speed, duration of operation, and load on the line. The prediction accuracy of these two methodologies was calculated with the use of the mean absolute percentage error (MAPE), Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Based on the act result of the two models, the Neural Network (NN) model is better performance accuracy. © 2022 IEEE.

关键词： Electric power transmission

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