Volume 44,Issue 8,2021 Table of Contents

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  • 1  Characteristics of icing on transmission lines under natural conditions
    GAO Jin JIANG Xingliang GUO Sihua HAN Xingbo ZHANG Qi
    2021, 44(8):1-9. DOI: 10.11835/j.issn.1000-582X.2021.252
    [Abstract](480) [HTML](1121) [PDF 12.83 M](1106)
    Abstract:
    The icing of transmission lines seriously threatens the safety of power grid. The icing process of transmission lines is complicated and involves many influential factors. The accurate understanding of the law of icing is the basis for the establishment and optimization of an icing numerical model. Different kinds of conductors were tested under natural icing conditions on Xuefeng Mountain Natural Icing Test Base. The effects of conductor diameter, conductor surface treatment, icing type and torsion on icing process were studied. The characteristics of icing on conductors with different diameters were analyzed by calculating the water droplet collision efficiency. The results show that under the natural environment, the wind velocity was the key factor which determined the rime shape on transmission lines. Meanwhile, the icing thickness increased nonlinearly with time. The smaller the conductor diameter, the faster the icing thickness increased. The conductor torsion made the leeward side of conductor turn to the windward side, which increased the icing rate. When the icing type became glaze, in addition to the windward wing icing, more icicles were likely formed under a conductor. As a result, the ice structure became more complex.
    2  Reliability evaluation of distribution networks considering maintenance strategies and equipment health indexes
    XIANG Bo WU Chengjun HU Weinan REN Zhouyang WEN Yong FENG Ai LUO Huan
    2021, 44(8):10-20. DOI: 10.11835/j.issn.1000-582X.2021.104
    [Abstract](557) [HTML](1345) [PDF 520.66 K](1104)
    Abstract:
    To overcome the defects of traditional reliability evaluation methods of distribution networks in which the equipment difference and timeliness are usually not taken into account, a distribution-network reliability-evaluation method which comprehensively considers maintenance strategies and equipment health indexes is proposed, so as to reasonably evaluate the reliability of a distribution network, and provide a reference for the distribution network planning and maintenance arrangement. Firstly, the health indexes of equipment are calculated by the logistic regression model, and the failure rate, reliability and unreliability of equipment are calculated with the health indexes; secondly, the feasible operation schemes and fault states of the distribution network are enumerated based on the minimum path method and the fault enumeration method; finally, the failure rate and the failure consequence of the entire system are calculated with the equipment failure rates and load information. The reliability index of distribution network can be obtained by integrating the overall failure probability and consequence. The effectiveness of the proposed method is verified by the simulation analysis of a 10 kV practical power grid in the southern China.
    3  Analytical parameter optimization based on importance sampling for power-system reliability evaluation
    ZHUANG Ruxue GENG Lian WANG Hui YAO Haowei HUANG Xin ZHAO Lingjun SHUANG Yanjie ZHAO Yuan
    2021, 44(8):21-30. DOI: 10.11835/j.issn.1000-582X.2021.105
    [Abstract](274) [HTML](573) [PDF 528.96 K](597)
    Abstract:
    Importance sampling (IS) can effectively speed up the Monte Carlo simulation (MCS) of power-system reliability evaluation. As a promising IS method, the cross-entropy method (CEM) can estimate the parameters of the IS probability density function (IS-PDF) by using an iterative parameter optimization procedure; nevertheless the iterative parameter optimization incurs high computation burden. A novel analytical approach for IS-PDF parameters optimization is proposed in this paper to reduce the computation cost. Firstly, the theoretically optimal IS-PDF for failure system states is formulated by a set of nonlinear equations where the PDF parameters, i.e. the optimal component unavailabilities, are to be solved. Because these equations are too many to be solved, the concept of minimum cut set identification is introduced to reduce the number of equations significantly while keeping the equality constraint for the theoretically optimal IS-PDF. Finally, to derive the optimal component unavailabilities, the least square estimation is used to solve these equations. The effectiveness and efficiency of the proposed method are verified by MRBTS and IEEE-RTS79.
    4  Real-time risk assessment of distribution network based on comprehensive failure rate
    FANG Jian LIN Xiang WANG Hongbin ZHANG Min FANG Min LI Shengnan
    2021, 44(8):31-44. DOI: 10.11835/j.issn.1000-582X.2020.114
    [Abstract](449) [HTML](673) [PDF 1.06 M](1200)
    Abstract:
    In view of the problems that the existing failure rate calculation models can not take into account the influences of both equipment operation status and grid structure on the equipment failure rate at the same time, and that the risk assessment model of distribution network cannot effectively reflect the real-time state of equipment, a real-time risk assessment method for the distribution network based on the comprehensive failure rate is proposed in this paper. The new method takes into account the synergy between the main fault factors to improve the original state evaluation model. The accurately calculated equipment failure rate is taken into the real-time failure rate model based on a health index, and the undetermined coefficient is obtained by fitting. The failure rate of the equipment under the influence of gradual factors is calculated according to the on-line monitoring data. According to the real-time intensity of the sudden factors in the environment of the distribution equipment to be evaluated, as well as the equipment level and grid structure level,the sudden potential failure rate and comprehensive failure rate are calculated. The feeder partition method is used to calculate the real-time outage probability and risk of each load point, and the weak links of distribution equipment and load points are found through the analysis of an example in the city of Guangzhou.
    5  Load management approach for residential power system incorporating photovoltaics, electric storage and electric-vehicle charging
    DONG Tao YONG Jing ZHAO Jin DONG Jiabin CHEN Shan
    2021, 44(8):45-58. DOI: 10.11835/j.issn.1000-582X.2020.117
    [Abstract](363) [HTML](738) [PDF 3.26 M](813)
    Abstract:
    Electric vehicles (EV) and small-scale photovoltaics (PV) have been extensively applied to the residential power systems, which is largely changing the characteristics of the residential loads and bringing some issues to the existing systems. To increase the efficiency of using PV and manage the EV charging orderly, a load management approach for the residential power system incorporating EV, PV and electric storage (ES) was proposed, in which the uncertainty of PV output and EV charging behavior were taken into consideration, and a minimal capacity of centralized ES was used to adjust the power supply and consumption so that the interests of both the consumer and the power utility could be achieved with a low cost. A simulation of different scenarios in a practical case demonstrated the validity of the proposed approach.
    6  Adaptive tracking control algorithm for flexible power point of photovoltaic system considering dynamic environment
    SHI Yonghao DONG Zhicheng
    2021, 44(8):59-75. DOI: 10.11835/j.issn.1000-582X.2020.277
    [Abstract](393) [HTML](895) [PDF 4.89 M](863)
    Abstract:
    A major problem related to the growing popularity of grid connected photovoltaic power generation is the operational challenges (such as overload and overvoltage) due to the variability of photovoltaic power generation. Flexible power point tracking (FPPT) can limit the photovoltaic output power to a specific value to solve some integration problems. The traditional FPPT algorithm based on disturbance observation has the problem of slow dynamics. Therefore, an adaptive FPPT algorithm is proposed in this paper. The proposed algorithm has fast dynamic characteristics under the quick changing environment conditions (such as cloud layer passing), while maintaining low power oscillation in the steady state. The proposed algorithm uses additional measurement samples under each disturbance to observe changes in operating conditions (such as solar irradiance). Then, the voltage step is calculated adaptively according to the observation conditions (such as transient or steady state) to improve the tracking performance. Finally, the simulation experiment on a 3 kVA single-phase photovoltaic grid connected system verifies the effectiveness of the algorithm in terms of fast dynamics and high accuracy under different operating conditions.
    7  Black start optimization strategy for island microgrid with large number of inductive load
    LIN Jiayang ZHOU Weihao YI Yongli WU Kunming TANG Liangchun CHEN Minyou
    2021, 44(8):76-90. DOI: 10.11835/j.issn.1000-582X.2021.258
    [Abstract](356) [HTML](491) [PDF 1.34 M](863)
    Abstract:
    Extreme natural conditions often cause the collapse of the island microgrid which needs to be restored by the black start. However, the black start is affected by a large number of inductive load due to the particularity of the island microgrid load. In order to improve the efficiency of the black start of island microgrid, this paper proposed a black start optimization strategy of island microgrid based on virtual active load. First, a black start power startup sequence optimization model was proposed and the entropy weight method was used to evaluate the black start ability of different DGs. Then, a load recovery optimization model was proposed with the maximum load recovery amount and the maximum load recovery importance as the goals and solved by the PSO algorithm. Next, the path recovery optimization model of DG and load was proposed. The model was solved by Prim algorithm of minimum spanning tree. In addition, a virtual active load construction method was proposed. In the black start process, the inductive load and the parallel compensation capacitor are considered equivalent to the active load, thereby improving the black start success rate. Finally, the simplified 19-node microgrid structure was used as the test system for simulation verification. The simulation results show that, compared with the traditional optimization of black start strategy, the proposed method increased the load recovery by 46.8% during the black start process and at the same time, took the load importance into consideration. Furthermore, the total path restoration time was reduced by 8.8%. In addition, according to the proposed virtual active load construction method, the simulation results show that when the reactive power provided by the parallel capacitor was sufficient, the impact of the inductive load on the system voltage could be significantly reduced during the black start process.
    8  Identification method of abnormal data in bus load based on factor analysis
    WEN Xu WANG Hao HUANG Gang YAN Wei ZHANG Aifeng ZHAO Guofu LIU Gaoqun ZENG Xingxing
    2021, 44(8):91-102. DOI: 10.11835/j.issn.1000-582X.2020.035
    [Abstract](448) [HTML](713) [PDF 6.02 M](818)
    Abstract:
    To solve the problems of poor adaptability and low identification accuracy of the existing identification methods of bus load abnormal data, this paper profiles the basic characteristics of abnormal data based on the current bus load data. By examining the theory of factor analysis and its application in the identification of abnormal data of bus load, an identification method of abnormal bus load data based on factor analysis is put forward. With this method, factor analysis is introduced to decompose and reconstruct the bus load curve into the basic component which represents the normal time sequence variation law of the curve and the random component that represents the abnormal or random fluctuation characteristics of the curve data. At the same time, based on the reconstructed random component of the load curve, the 3σ criteria for identifying abnormal data are given. Finally, a case study of a power supply company in Chongqing shows that the proposed method is more reasonable and effective than the existing methods.
    9  Analysis and algorithm optimization of contact bounce behavior of contactors
    HUANG Kepeng WANG Fazhan ZHAO Mingji LI Yafeng OU Daquan
    2021, 44(8):103-113. DOI: 10.11835/j.issn.1000-582X.2020.261
    [Abstract](408) [HTML](770) [PDF 3.41 M](878)
    Abstract:
    In order to better understand the contact bounce behavior of AC contactors, a differential equation of contact bounce motion was established and solved from the perspective of mechanical vibration. Through Adams/View AC contactor prototype model, the design of the contact system was optimized by combining the user-defined improved genetic algorithm with dynamic analysis software, and the corresponding mechanical parameters were selected as design variables. The results show that the contact bounce time and maximum displacement were reduced by 89% and 93%, respectively. Finally, the experimental results and simulation errors of the laser rangefinder were less than 2%, which verified the superiority and feasibility of the optimal design method that combined the genetic algorithm with ADAMS software in contactor parameter optimization.
    10  BP neural network model for dynamic swing angle of suspended insulator string
    SUI Jiali YAN Bo LIN Xiang WU Chuan LYU Zhongbin ZHANG Bo
    2021, 44(8):114-124. DOI: 10.11835/j.issn.1000-582X.2020.282
    [Abstract](342) [HTML](927) [PDF 4.45 M](715)
    Abstract:
    The dynamic swing angles of suspended insulator strings of transmission lines with different parameters including conductor type, initial stress in conductor, span length and height difference, under stochastic wind field are numerically simulated by means of the finite element method. Based on the finite element simulation results and the BP neural network, a prediction model for the swing angle is constructed. In the model, the conductor type, span length, height difference, initial stress, wind speed and guarantee factor are taken as the input parameters, and the swing angle as the output parameter. The model is optimized by machine learning and accuracy evaluation with specific evaluation indicators. Swing angles of suspended insulator string in stochastic wind field can be predicted conveniently and fast with this model, which provides a basis for the insulation design of tower head in transmission lines.
    11  A virtual SVPWM strategy to improve common-mode voltage and neutral-point potential
    REN Jiao FU Guangjie
    2021, 44(8):125-133. DOI: 10.11835/j.issn.1000-582X.2021.08.011
    [Abstract](412) [HTML](932) [PDF 3.19 M](1037)
    Abstract:
    A neutral-point-clamped(NPC) three-level inverter normally faces the problems of neutral-point fluctuation and common-mode voltage due to its topological structure and technical characteristics of space vector pulse width modulation. In order to solve these problems, an improved virtual-space-vector pulse-with-modulation(PWM) strategy is proposed, which can balance the suppression of neutral-point potential fluctuation and the reduction of the common-mode voltage. On the basis of traditional virtual-space-vector PWM principle, this strategy achieves the goal of reducing the common-mode voltage by optimizing the basic voltage-vector composition and action order. Meanwhile, closed-loop control strategy is adopted to monitor the neutral-point potential and neutral-point current flow, and dynamically adjust the form of mid-vector to control the neutral-point potential fluctuation within the target range. To verify the practicability and effectiveness of the improved virtual-space-vector PWM strategy, the simulation and experiments were carried out. The results indicate that compared with the traditional virtual space vector PWM, the common-mode voltage can be reduced by 50%, and under the steady state, the neutral-point potential fluctuation can be controlled below 5 V.
    12  Internal temperature field distribution and influencing characteristics of internal pressure of inverted oil-immersed current transformer
    JI Kunyu LIU Yang LI Bonan LI Xi HUANG Leifeng CHEN Ting
    2021, 44(8):134-145. DOI: 10.11835/j.issn.1000-582X.2020.275
    [Abstract](414) [HTML](885) [PDF 6.59 M](1089)
    Abstract:
    The current transformer converts the large current in the primary system into a small current for secondary measurement and measurement protection in the power system. It plays an indispensable role in the stable operation and fault current measurement of the power system. However, during the online operation process, the abnormal increase in gas of the oil inside the transformer induced by partial discharge, heat failure, etc. will lead to sharp increase of the internal pressure, which will easily cause insulation damage and explosion. In order to study the internal temperature field distribution of the transformer and the influential factors of pressure changes so as to detect the internal pressure surge failure in time, a model of 220 kV inverted oil-immersed current transformer was established by ANSYS software simulation. Based on the model, the distribution law of internal temperature field of the current transformer was obtained by finite element analysis method. An experimental platform was established to verify the validity of the simulation. At the same time, an online pressure monitoring system based on MD-TPR transformer was designed, and the internal pressure influence characteristics of the transformer were obtained.
    13  Parameter calibration for articulated arm measuring machine based on hybrid optimization algorithm
    ZHANG Jiayan XU Zhishun WANG Sheng FENG Xugang
    2021, 44(8):146-155. DOI: 10.11835/j.issn.1000-582X.2020.022
    [Abstract](321) [HTML](481) [PDF 3.38 M](720)
    Abstract:
    In order to further improve the measurement accuracy of high mobility precision measuring equipment such as articulated arm CMM,the D-H matrix method the mathematical model of joint coordinate transformation and the parameter error model is derived accordingly.the problem of nonlinear multiparameter calibration, the redundant parameters in the matrix are eliminated by transformation analysis, the complexity of calculation.criteria for judgment and the mixture of least square method and simulated annealing algorithmA new method of parameter calibration based on hybrid optimization algorithm is proposed, which solves the problem of initial value setting of LM algorithm and search efficiency decreasing of SA algorithm.The experimental results show that the error range of the parameters of the articulated arm measuring machine is significantly reduced after the parameters are calibrated by the hybrid optimization algorithmhe average value of single point repeatability error is reduced by 1.746 mm, and the average value of length error is reduced by 0.941 mm. The measurement error is further suppressed.
    14  Storage mechanism of electricity marketing data based on blockchain
    WANG Lingyu FU Hong YANG Yun LIU Jun
    2021, 44(8):156-164. DOI: 10.11835/j.issn.1000-582X.2020.289
    [Abstract](481) [HTML](642) [PDF 4.11 M](677)
    Abstract:
    With the development of electricity supply, electricity marketing data continue to grow. Traditional centralized data storage modes have been unable to meet the security and efficiency requirements of power business data storage. To address the issues, this paper proposes a multi-level encrypted electricity marketing data storage architecture based on blockchain. The storage architecture uses the blockchain as the underlying technical support and combines with distributed storage to provide highly stable, secure and reliable power data storage scheme. At the same time, a multi-level encryption mechanism is proposed on the basis of the blockchain. This mechanism supports step-by-step encryption and verification of power data on-chain and power data transmission processes, which further guarantees the security of power data storage. The proposed storage mechanism is compared with the centralized storage mechanism by creating a distributed storage facility. The experimental results show that the proposed storage mechanism has more advantages in terms of system latency, response time, and throughput than traditional storage mechanisms, indicating that the proposed storage mechanism is reasonable and feasible and has good application prospects.

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