• Issue 3,2021 Table of Contents
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    • >名家主持:电动汽车与综合能源运行分析
    • Research on scenes of “PVcharging station” transaction based on smart contract

      2021(3):3-10. DOI: 10.19781/j.issn.1673-9140.2021.03.001

      Abstract (60) HTML (0) PDF 1.18 M (130) Comment (0) Favorites

      Abstract:The access of the distributed generation with strong volatility and the disordered charging of electric vehicles would threaten the stability operation of distribution network. Under the background, the concept of smart contract for the "photovoltaic householdcharging station" transaction scenario and its technical route are analyzed firstly. Then, with the goals of maximizing the revenue of the photovoltaic user and minimizing the cost of the charging station, the interactive model is constructed on the basis of the smart contract. Finally, the simulation results show that when the photovoltaic user and the charging station trade electrical energy, their economic benefits are improved. Although the revenue of the power company has reduced, the reasonable charging strategies by the charging station will help increase the onsite consumption rate of photovoltaics, reduce the fluctuation of the power interaction with the grid and facilitate the safety of the grid.

    • Optimal planning of integrated energy system considering carbon emission penalty factor

      2021(3):11-18. DOI: 10.19781/j.issn.1673-9140.2021.03.002

      Abstract (40) HTML (0) PDF 1.35 M (127) Comment (0) Favorites

      Abstract:The energy industry accounts for a large proportion of carbon emissions and it is the main force of energy conservation and emission reduction. In order to ensure the sustainable development of the system, it is necessary to take carbon emissions into account when planning the integrated energy system. Under the backgound, an integrated energy system planning model is established in this paper considering carbon emission penalty factor. Firstly, according to the thermal and electrical load characteristics of a park, four planning schemes are proposed in this paper. The minimum net present cost is chosen as the optimization objective, the optimal capacity allocation of four planning schemes under the scenario of whether carbon emission penalty factor is considered or not. Secondly, the advantages and disadvantages of the four planning schemes are compared from the aspects of economic benefit and environmental benefit, and the thermoelectric coupling relationship of the integrated energy system is analyzed. Finally, the sensitivity of carbon emission penalty factors is analyzed. The results show that the carbon emission penalty factor can reduce the carbon emission of the integrated energy system, and the renewable energy, energy storage equipment and gas turbine can reduce the carbon emission and improve the environmental benefits.

    • Prediction method of electric vehicle charging load based on grid division

      2021(3):19-26. DOI: 10.19781/j.issn.1673-9140.2021.03.003

      Abstract (52) HTML (0) PDF 1.71 M (113) Comment (0) Favorites

      Abstract:Accurate spatial and temporal distribution prediction model for electric vehicle charging load is an important basis for dealing with the impact of electric vehicle connected to the grid and researching charging facility planning. Due to the limited number and the unreasonable layout of existing charging facilities, the historical electric charging load data can not reflect the actual charging demand of electric vehicles explicitly. Under the background, a load forecasting method of power system is proposed based on the grid division. Firstly, the prediction region is divided into block that is taken as the spatial prediction unit. Then, the charging load of block with charging facilities and the history data of prediction indicators are utilized to assign historical charging data in blocks with charging facilities to each block. Secondly, a relationship between charging load and influencing factors is established by employing Bayesian regularization BP neural network algorithm. Finally, Haidian District of Beijing is considered for simulation to verify the proposed prediction method. It is shown that this method can accurately predict the spatial and temporal distribution of the electric vehicle charging load.

    • Optimal operation of the park integrated energy system considering integrated demand response

      2021(3):27-35. DOI: 10.19781/j.issn.1673-9140.2021.03.004

      Abstract (73) HTML (0) PDF 1.45 M (156) Comment (0) Favorites

      Abstract:In order to improve the ability of integrated energy system to absorb new energy and reduce system operating cost,an optimal scheduling model is proposed by considering the integrated demand response and the integrated energy system of industrial park is taken as the research object. Firstly, the basic model of the park integrated energy system including CHP unit, gas boiler, electric boiler and other coupled equipment is established, and the flexible loads on the demand side of the system are divided into three types: transferable loads, interruptible loads, and replaceable loads. Among them, replaceable loads realizes the coordination and interaction between multiple types of energy. Secondly, the schedulable value of electric vehicles is discussed, combined with the timeofuse electricity price and load curves of the system, the charging and discharging of electric vehicles are orderly guided to participate in the optimal scheduling of integrated energy system. Finally, an example is included to verify the advantages of the proposed model in terms of operating cost, consumption of new energy and peak loads shaving .

    • System dynamics modeling and analysis of regional carbon emission by electric vehicles development under the evolution of clean energy development

      2021(3):36-45. DOI: 10.19781/j.issn.1673-9140.2021.03.005

      Abstract (70) HTML (0) PDF 1.48 M (116) Comment (0) Favorites

      Abstract:In the context of the development of carbon peak and carbon neutral, the promotion of electric vehicles (EVs) provides a strong support for the realization of lowcarbon goals. For investigating the impact of EVs on the carbon emission, the paper firstly,analyzes the coupling relationship between the scale of EVs, regional energy composition, VehicletoGrid (V2G) technology and carbon emissions. Secondly, the district energy development path is constructed according to the development law of the clean energy. Finally, based on the principle of system dynamics, a dynamic feedback model of the evolution of the regional carbon emission trajectory with the integration of V2G under the development of the clean energy is established.Finally, the paper takes the data of a city in southwest China as an example to conduct dynamic evolution simulation, in which the development scale of EVs and the development path of the clean energy are taken as main variables to analyze the impact of EVs on regional carbon emissions under various scenarios. Besides, this paper also verifies the carbon emission reduction benefit of EVs through the sensitivity test. Simulation results indicate that the development of the clean energy has the most significant impact on the carbon emission reduction, and the V2G technology has huge benefits on the carbon emission reduction.

    • >科学研究
    • Distributed wind power bilevel programming model for active distribution network based on stochastic fuzzy chance constraint

      2021(3):46-55. DOI: 10.19781/j.issn.1673-9140.2021.03.006

      Abstract (72) HTML (0) PDF 1.09 M (114) Comment (0) Favorites

      Abstract:Aiming at the multiple uncertain features of wind speed with both randomness and ambiguity, a distributed wind power bilevel programming model for active distribution network (ADN) based on stochastic fuzzy chance constraint is proposed. Considering the multiple uncertainty characteristics which contains both randomness and fuzziness of wind speed, firstly, the article describes the uncertainty of distributed wind power output through random fuzzy simulation, established a random fuzzy model of wind power output by considering the time sequence,obtains the chance measure of static security index by random fuzzy simulation and power flow analysis, uses reliability which contains both randomness and fuzziness to evaluate the distributed wind power configuration scheme. The model describes the uncertainty of distributed wind power output through random fuzzy simulation, and considers its timing characteristics to establish a random fuzzy model of wind power output. Random fuzzy simulation and power flow analysis are combined to obtain system static security such as node voltage, branch power and system reverse power of random fuzzy chance measure. The credibility of both randomness and fuzziness is adopted as the index to evaluate the distributed wind power capacity allocation plan. Secondly, the system power balance, static safety index opportunity measurement constraints and active management (AM) measures are considered. The maximization of annual profit random fuzzy expected value is set to be the upperlevel optimization goal. The minimization of random fuzzy expected value of the distributed wind power is set to be the lowerlevel optimization goal and realized by the active management of distributed wind power. Whether the static safety index of the upperlevel scheme meets the confidence level of the random fuzzy chance constraint, the upper and lower levels are planned to collaborate to construct a new bilevel programming model for distributed wind power capacity configuration with random fuzzy chance constraint. Finally, a combination of random fuzzy simulation, forward and backward power flow calculation and genetic algorithm (GA) is proposed to solve the model. The simulation process and results of IEEE14 node example show the effectiveness and superiority of the model and algorithm.

    • A bilayer optimal dispatch approach for distribution networks with distributed photovoltaic considering the flexibility

      2021(3):56-66. DOI: 10.19781/j.issn.1673-9140.2021.03.007

      Abstract (47) HTML (0) PDF 1.33 M (116) Comment (0) Favorites

      Abstract:The integration of large number of photovoltaic power stations into the distribution network increases the operational uncertainty, and have a significant impact on the operational flexibility of the distribution network. This paper first investigates the calculation algorithm which aims at estimating the degree of flexibility that can be provided by the connected point to the main grid, energy storage devices and demand response loads. Then, a bilayer optimal dispatch model of distribution networks with distributed photovoltaic power stations is established with the consideration of the system flexibility. The upperlayer model solves the optimal dispatch scheme that minimizes the distribution network operating cost under a certain scenario of photovoltaic output, while the lowerlayer model solves the most severe scenario within the fluctuation range of photovoltaic output. By the iterative solution of the upperlayer and lowerlayer models, the optimal dispatch scheme of the distribution network is obtained. In addition, although the extreme scenarios merely occur in actual operation, satisfying the flexibility requirements of these scenarios usually requires relatively high economic cost. To address this problem, intuitionistic fuzzy programming is introduced to transform the original optimal dispatch model into an intuitionistic fuzzy programming model, which could obtain a comprehensive optimal dispatch scheme for satisfying the operating costs and flexibility constraints. Finally, an actual distribution network model with distributed photovoltaic is used to validate the correctness and effectiveness of the proposed method.

    • Distribution network expansion planning coordinating sourceload uncertainty

      2021(3):67-75. DOI: 10.19781/j.issn.1673-9140.2021.03.008

      Abstract (62) HTML (0) PDF 1.23 M (128) Comment (0) Favorites

      Abstract:With the increasing application of renewable energy and energy storage in the distribution network, there is an urgent need to carry out research on the expansion planning of the distribution network that takes into account the uncertainties of the source and load ends. This paper proposes a threelevel distribution network expansion planning process and a random expected value model for distribution network expansion planning. Firstly, a network framework expansion planning model is established with comprehensive new cost as the optimization goal, connectivity, reliability, and power flow restrictions as constraints. As a result, the planned access plan and energy storage configuration capacity for the new site are determined. Secondly, the operation optimization model is established to calculate reasonable switch combination in normal operation mode. Finally partial reinforcement measures are adopted to improve system reliability. The validity of the model is verified in a practical system example.

    • Power load dispatching research based on community energy platform

      2021(3):76-83. DOI: 10.19781/j.issn.1673-9140.2021.03.009

      Abstract (52) HTML (0) PDF 1.09 M (109) Comment (0) Favorites

      Abstract:In view of the fact that the current community load is high and the load peak and offpeak difference is increasing in summer, community load is regulated by invoking demand response resources. This paper mainly studies the controllable power load (resident, commerce) scheduling strategy in the community energy platform. Focusing on the analysis of two types of loads, electric vehicles and air conditioning, this paper constructs a multiobjective load optimization dispatch model with the lowest electricity cost and the smallest difference between community load peaks and valleys under the satisfaction of user comfort level. For the resident inverter air conditioning and commercial central air conditioning, temperature control and periodic stopping control are adopted, respectively. Moreover, orderly charging mode is adopted for the electric vehicle. The improved particle swarm optimization algorithm is used to solve the model. Simulation results show that reasonable control of the electric vehicle, air conditioning load and energy storage can evidently reduce the user electricity costs and improve community load curve characteristics.

    • Midlong term contract energy decomposition considering wind power uncertainty

      2021(3):84-91. DOI: 10.19781/j.issn.1673-9140.2021.03.010

      Abstract (36) HTML (0) PDF 982.60 K (126) Comment (0) Favorites

      Abstract:Midlong term contract energy transaction is the main form of transaction in the early stage of new round electricity reform. Due to the uncertainty of wind power, midlong term contract energy decomposition faces enormous challenges. To solve this problem, a midlong term contract energy decomposition algorithm considering the uncertainty of wind power is proposed. An optimization model for a dayahead energy decomposition with minimum generation costs, power offsets, and carbon emissions is established and transformed into a singleobjective model through a normalized weighting method. Then the issue of the deviation between the actual energy generation and the planned energy is solved through an amendment algorithm. As the case study shows, the decomposition algorithm can achieve energysaving and emission reduction, and minimize the deviation of energy, while ensuring that the decomposition result is fair and feasible.

    • An optimal control method of icestorage air conditioning based on sequential reduction in direct cooling cost

      2021(3):92-99. DOI: 10.19781/j.issn.1673-9140.2021.03.011

      Abstract (50) HTML (0) PDF 1.03 M (127) Comment (0) Favorites

      Abstract:Among optimal control methods of icestorage air conditioning, control methods based on intelligent optimization algorithms are complicated to solve and lack of feasibility, and common engineering control methods are of poor economic benefit. To solve the above problems, in this paper, the mathematical model of the icestorage air conditioning optimal operation is built, in which the capacities of operation patterns and icestorage capacity are constraint conditions, and the minimum daily operation cost is the objective function. Then, an optimal control method based on the sequential reduction in direct cooling cost is proposed. Periods of storing or melting ice can be planned according to the arrangement of electricity price and direct cooling cost. Through several iterative computations, an optimal solution can be found. The proposed control method is of certain reliability by making a comparison with the optimal result obtained by GAMS. Compared with common engineering control methods, the proposed method has good feasibility and economical efficiency.

    • Microgrid photovoltaic current control strategy based on improved robust repetitive control and QPR

      2021(3):100-110. DOI: 10.19781/j.issn.1673-9140.2021.03.012

      Abstract (50) HTML (0) PDF 2.21 M (97) Comment (0) Favorites

      Abstract:In order to improve the power control performance of photovoltaic inverter in microgrid and improve the gridconnected current quality of photovoltaic power generation, the state space model of photovoltaic main circuit in microgrid with PVESS is established in this paper. Based on this model, the detailed design process of improved repetitive control and improved robust compensator are given to improve the structure of traditional repetitive control. In order to improve the stability and tracking accuracy of the control system, the robust compensator is added and the optimal configuration is obtained by the linear matrix inequality method. Then, combined with QPR, a photovoltaic current control strategy based on the improved robust repetitive control and paralleling QPR is proposed. Finally, the strategy verification on the RTDS simulation platform shows that this strategy can effectively improve the tracking performance of current and harmonic suppression capability of the photovoltaic inverter, and the effectiveness of the strategy and engineering application value are verified.

    • Research on characteristics of a novel ultrasparse matrix converter with boost circuit

      2021(3):111-117. DOI: 10.19781/j.issn.1673-9140.2021.03.013

      Abstract (49) HTML (0) PDF 1.31 M (116) Comment (0) Favorites

      Abstract:Aiming at the low voltage transmission of Ultra Spare Matrix Converter (USMC), a new topology of USMC with Boost boost circuit is proposed. The Boost circuit is added in the DC link of USMC to increase the output voltage of DC link, so that the inverter stage can output a higher voltage. Thereby, the voltage transmission ratio range is widen. In addition, combined with the SVPWM modulation strategy, the voltage transmission ratio and output power factor range of the new USMC topology are derived. It lays a theoretical foundation for the application of USMC. Finally, the Matlab/Simulink simulation is included to verify the correctness and feasibility of the topology.

    • Improved voltage feedforward method for improving robust stability of gridconnected inverters in weak grids

      2021(3):118-124. DOI: 10.19781/j.issn.1673-9140.2021.03.014

      Abstract (71) HTML (0) PDF 1.12 M (133) Comment (0) Favorites

      Abstract:Due to the existence of grid impedance in a weak grid, the application of voltage feedforward control can adversely affect the stability of the inverter system. In order to preserve the advantages of voltage feedforward control, according to the impedance stability analysis method, the problems in adopting voltage feedforward control under grid impedance variation in weak grids are studied. Instability mechanism and unstable region are also presented. Based on the analysis, a phase lead compensation method is proposed to reduce the unstable region caused by voltage feedforward control, increase the phase angle of the inverter output impedance, and safeguard strong robustness to the system when the grid impedance varies. Finally, the simulation experiment is tested in Matlab/Simulink. Simulation results verify the effectiveness and feasibility of the proposed method.

    • Analysis of communication matching technology of power terminal communication access network

      2021(3):125-134. DOI: 10.19781/j.issn.1673-9140.2021.03.016

      Abstract (39) HTML (0) PDF 979.27 K (152) Comment (0) Favorites

      Abstract:As an extension of the power backbone communication network to load terminal, the terminal communication access network is an important part of the power communication network. With the rapid development of communication technology, the technologies applicable to the terminal communication access network are diversified. The matching of the most suitable communication access technology for different power terminal communication services is the prerequisite to improve the communication efficiency and to ensure the communication service quality. This paper deeply analyzes the communication technology and service requirements of the terminal communication access network, and then designs the communication technology optimized matching algorithm based on the subjective preference and objective mathematical analysis. The algorithm weighs both the preference of the business to attributes and the importance of each attribute itself, and finally derives the most suitable communication technology for different power communication services, which fundamentally improves the performance of the terminal communication access network.

    • Denoising of insulator hydrophobic image based on the guided filtering algorithm

      2021(3):135-140. DOI: 10.19781/j.issn.1673-9140.2021.03.018

      Abstract (41) HTML (0) PDF 1.00 M (104) Comment (0) Favorites

      Abstract:The hydrophobic detection of composite insulators is an important means to ensure the safe and reliable op-eration of insulators. The effective elimination of noise from hydrophobic images is an important prerequisite for accu-rately extracting the edge of water droplets and realizing the hydrophobic identification of insulators. The guiding fil-tering algorithm is widely applied in the field of image processing because of its intuitive principle, low computationalcomplexity and its ability to effectively overcome the gradient inversion problem by the guiding image filtering. In thiscontext, the principle of guided filtering is analyzed firstly. Then, it is introduced into the denoising process of hydro-phobic image based on the image characteristics. Finally, the results of filtering experiment and quantitative experi-ment are analyzed to verify the good effect of the guided filtering algorithm in the preprocessing of hydrophobic imageedge extraction.

    • Study on the eddy current loss of internal components of 12 kV switch cabinet

      2021(3):141-147. DOI: 10.19781/j.issn.1673-9140.2021.03.019

      Abstract (53) HTML (0) PDF 1.20 M (141) Comment (0) Favorites

      Abstract:In the operation of large current switch cabinet, the thermal phenomena caused by eddy current losses is serious. In order to study the eddy current loss in the switch cabinet, a calculation method of eddy current loss is derived in this paper. Then a simplified switch cabinet model for the magnetic field calculation is established by SolidWorks. In addition, the losses of busbar in AC and DC load conditions are calculated through the finite element simulation software. It is found that the skin effect and proximity effect have influences on the busbar heating. Then the eddy current field of the entire switch cabinet is simulated and the eddy current loss for entire cabinet is obtained. Finally, several optimized suggestions are put forward according to the calculation results. It is found that eddy current loss in switch cabinet is large, which reaches 3 831.66 W. Therefore, the eddy current loss cannot be ignored in the calculation of temperature rise in the switch cabinet.

    • Simulation study on lightning overvoltage characteristics of equipment in the substation connection section

      2021(3):148-156. DOI: 10.19781/j.issn.1673-9140.2021.03.020

      Abstract (34) HTML (0) PDF 1.80 M (106) Comment (0) Favorites

      Abstract:In order to determine the lightning impulse withstand level of substation connection section equipment reasonably, a transmission linesubstation connection section model considering the power frequency voltage and induced voltage is established in EMTP. Then the characteristics of shielding failure invasion wave and back striking invasion wave are calculated, and the influence of lightning current model, induced voltage and insulator string flashover model on substation connection section are studied. The simulation results show that the severe overvoltage under maximum shielding failure lightning current should be taken into consideration when checking the insulation withstand level of equipment, and the equipment withstand voltage level should be improved. Considering the resistance at typical frequency of lightning current, the amplitude deviation of invasion wave, which is caused by some unreasonable oscillations while modelling, can be effectively eliminated. The lightning current mode, induced voltage and insulator strings flashover model have significant influence on overvoltage simulation results. Reasonable simulation models should be selected strictly when checking the insulator withstand level of equipment. The research results can provide reference to the substation engineering.

    • Analysis of the factors influencing the communication characteristics of power line channel

      2021(3):157-164. DOI: 10.19781/j.issn.1673-9140.2021.03.015

      Abstract (48) HTML (0) PDF 1.19 M (132) Comment (0) Favorites

      Abstract:The power line is designed for the electricity transmission. The complicated distribution network topology induces the deteriorated communication channel and complex channel characteristics of the power line, which deteriorates the quality and efficiency of the signal transmission. To deal with the above problems, the mathematical model of the power line channel is established by utilizing the twoport network of the transmission line. Based on the model, it is simulated and analyzed that the influence of the power network structure and network parameters on magnitudefrequency characteristics of the channel voltage and network input impedance. It is found that in the magnitudefrequency characteristics, the peak and valley positions have a low correlation with the length of the main line, and the number of the peak and valley has a high correlation with the length of the branch line. Besides, the input impedance of the network is equal at the peak frequency.

    • >技术应用
    • Sector electricity consumption behavior features based abnormal electricity consumption detection method for street lamps

      2021(3):165-173. DOI: 10.19781/j.issn.1673-9140.2021.03.017

      Abstract (75) HTML (0) PDF 1.32 M (160) Comment (0) Favorites

      Abstract:Datadriven abnormal electricity usage detection generally classifies or clusters user electricity usage behavior according to the set characteristic index items to identify electricity usage anomalies. Affected by the diversity of electricity usage behaviors in different sectors, there is often a problem of high false alarm rate in practical applications. Utilizing the characteristics of similar electricity usage behaviors of users in similar subindustry, this paper proposes a method that refines characteristic index items to detect abnormal electricity usage based on industryspecific electricity usage characteristics. Based on the actual load data of the users of the street lamp, firstly the load composition and electricity behavior characteristics of the users of the street lamp are analyzed. Then characteristic index items that can accurately describe the electricity consumption behavior of street lamp users is established. Thereafter, on this basis, according to the analysis of the statistical characteristics of the characteristic index items, the bimodal histogram method is used to set the judgment threshold of abnormal street lamp users. The abnormal street lamp users whose characteristic index items exceed the threshold in the actual power grid are identified. At last the effectiveness of proposed method is tested. Moreover, general law of the regional distribution of users with abnormal electricity consumption is also analyzed and summarized.

    • Substation equipment state evaluation method based on fuzzy comprehensive evaluation

      2021(3):174-179. DOI: 10.19781/j.issn.1673-9140.2021.03.021

      Abstract (37) HTML (0) PDF 969.35 K (111) Comment (0) Favorites

      Abstract:The state assessment is an important means to evaluate the condition of substation equipment. In this paper, a fuzzy comprehensive evaluationbased method is proposed to evaluate the substation equipment. The proposed method can provide an comprehensive evaluation of substation equipment and establish the operating state level for the management of substations. The conventional method usually utilizes the single item scoring method. While the proposed method can evaluate the states of substations from multiple aspects more effectively and more accurate. A simulation example is demonstrated to introduce the procedure of state evaluation. As an instance of application, the state management and control level of substation equipment in Beijing power grid has been greatly improved, and the equipment failure rate have been declining in recent years.

    • Multidimensional field test technology for digital multiple bay electric energy metering system

      2021(3):180-187. DOI: 10.19781/j.issn.1673-9140.2021.03.022

      Abstract (36) HTML (0) PDF 1.06 M (104) Comment (0) Favorites

      Abstract:For the purpose of solving the unbalanced problem of power metering in the smart substation, a multidimensional field test technology is proposed for multiple bay electric energy metering in substation in view of the characteristics of digital multiple bay electric energy metering system is considered such as many links involved, blind areas in laboratory testing and lack of field test means . Firstly, the main reason of abnormal measurement is analyzed for the digital multiple bay. Then, a bay injection test is proposed on the basis of the wireless transmission and the implementation scheme and the key issues is described such as the distributed terminal synchronization, precise trigger of passive sampling and sampling curve fitting. Finally, the proposed scheme is verified by experiments. It is shown that the method could realize the error location and performance test of multiple bay electric energy under the condition of maintaining the integrity of the system and the field test ability of digital metrology specialty is improved.

    • Forewarning of vegetation growth in transmission corridor based on high resolution satellite images

      2021(3):188-194. DOI: 10.19781/j.issn.1673-9140.2021.03.023

      Abstract (62) HTML (0) PDF 1.69 M (152) Comment (0) Favorites

      Abstract:In order to extract the information of transmission corridor from satellite images, a method based on the highresolution remote sensing image No. 2 is proposed. Firstly, the weighted grayscale transformation based on lowresolution multispectral images is applied to obtain binary images. The information of transmission lines and towers is extracted by image edge detection and line detection methods. Then, the fused highresolution images are identified by the minimum distance method, and the vegetation coverage index is calculated. Finally, the transmission line is reconstructed in the vegetation distribution image, and the vegetation coverage index is utilized to warn the vegetation threatening areas. The simulation results show that the recognition rate of pole and tower extraction from binary image by edge detection is 100%, the contour of the fused vegetation distribution image is clear, and the recognition accuracy of vegetation coverage area is over 90%. Combined with the vegetation coverage index, the early warning area has dense vegetation growth, which threatens the safe operation of transmission lines. The proposed method realizes the early warning of vegetation growth in the transmission corridor, and can be applied in the transmission safety online monitoring of power industry.

    • Illegaloperation recognition algorithm based on YOLOv3 in specific power operation scenario

      2021(3):195-202. DOI: 10.19781/j.issn.1673-9140.2021.03.024

      Abstract (84) HTML (0) PDF 1.68 M (155) Comment (0) Favorites

      Abstract:Power grid are often operated in dangerous scenes such as high altitudes and high voltages. The scenes pose threats to the safety of electric power operators. Relying only on human supervision alone often leads to inadequate supervision. Existing target detection algorithms can only perform simple safety identification and can not identify illegal operations based on specific power operation scenarios. To solve this problem, this paper proposes an illegal operation recognition algorithm based on YOLOv3 in the specific power operation scenario. The YOLOv3 algorithm is selected for target detection incorporating the scene recognition mechanism contemporarily. The logic judgment function is set by reference to the intersection over union to detect the violation of power operations in specific scenarios. After taking the welding scene as an example for experimental verification, the results show the detection accuracy of this model is calculated to be 82.15%, which proves the effectiveness of the method. Meanwhile, this paper also puts forward several suggestions for subsequent optimization of the model.

    • An identification method for spring energy storage fault of onload tap changer based on neural network response surface model

      2021(3):203-210. DOI: 10.19781/j.issn.1673-9140.2021.03.025

      Abstract (133) HTML (0) PDF 1.92 M (136) Comment (0) Favorites

      Abstract:In order to precisely identify the spring energy storage failure in an onload tap changer (OLTC), an identification method is developed for spring energy storage failure of the OLTC based on the neural network response surface model. Firstly, the fault simulation model of the OLTC was established through the finite element method. Then, the training samples of the response surface model were generated from the uniform experiments and simulations, and the neural network response surface model was therefore constructed by training these samples. Finally, the mechanical parameters of the spring energy storage deficiency were identified using the multiobjective identification algorithm constructed by desirability function, and the identification results of spring insufficient energy storage faults of the UCL type OLTC was validated by simulation. The Results show that the fault of spring insufficient energy storage can be identified accuratelyvia the neural network response surface model. The maximum relative error between the identified result and the reference data is 3.93%, which can verifie the effectiveness of this method.

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